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{{#Wiki_filter:TENNESSEE VALLEY AUTHORITY River Operations & Renewable  
{{#Wiki_filter:TENNESSEE VALLEY AUTHORITY River Operations & Renewable Study to Confirm the Calibration of the Numerical Model for the Thermal Discharge from Sequoyah Nuclear Plant as Required by NPDES Permit No. TN0026450 of March 2011 WR2013-1-45-152 Prepared by T. Matthew Boyington Paul N. Hopping Walter L. Harper Knoxville, Tennessee April 2013


Study to Confirm the Calibration of the Numerical Model for the Thermal Discharge from Sequoyah Nuclear Plant as Required by NPDES Permit No. TN0026450 of March 2011 
EXECUTIVE  
 
WR2013-1-45-152
 
Prepared by T. Matthew Boyington Paul N. Hopping Walter L. Harper
 
Knoxville, Tennessee
 
April 2013 i EXECUTIVE  


==SUMMARY==
==SUMMARY==


The National Pollutant Discharge Elimination System (NPDES) permit for Sequoyah Nuclear Plant (SQN) identifies the release of cooling water to the Tennessee River through the plant discharge diffusers as Outfall 101. The primary method to monitor comp liance with the NPDES temperature limits for this outfall includes the use of a numerical model that solves a set of governing equations for the hydrothermal conditions produced in the river by the interaction of the SQN release and the river discharge. The numerical model operates in real-time and utilizes a combination of measured and computed values for the temperature, flow, and stage in the river; and the temperature and flow from the SQN discharge diffusers. Part III, Section G of the permit  
The National Pollutant Discharge Elimination System (NPDES) permit for Sequoyah Nuclear Plant (SQN) identifies the release of cooling water to the Tennessee River through the plant discharge diffusers as Outfall 101. The primary method to monitor compliance with the NPDES temperature limits for this outfall includes the use of a numerical model that solves a set of governing equations for the hydrothermal conditions produced in the river by the interaction of the SQN release and the river discharge. The numerical model operates in real-time and utilizes a combination of measured and computed values for the temperature, flow, and stage in the river; and the temperature and flow from the SQN discharge diffusers. Part III, Section G of the permit states: The numerical model used to determine compliance with the temperature requirements for Outfall 101 shall be subject of a calibration study once during the permit cycle. The study should be accomplished in time for data to be available for the next permit application for re-issuance of the permit. A report of the study will be presented to the division of Water Pollution Control. This report is provided in fulfillment of these requirements.
 
The basic formulation of the numerical model is presented herein. Three empirical parameters are used to calibrate the model. The first is the effective width of the diffuser slot, and the second is a relationship used to compute the entrainment of ambient water along the trajectory of the plume. The third parameter is a relationship for the amount of diffuser effluent that is re-entrained into the diffuser plume for periods of sustained low river flow.
states: The numerical model used to determine compliance with the temperature requirements for Outfall 101 shall be subject of a calibration study once during the permit cycle. The study should be accomplished in time for data to be av ailable for the next permit application for re-issuance of the permit. A report of the study will be presented to the division of Water Pollution Control. This report is provided in fulfillment of these requirements.  
Temperature measurements across the downstream end of the SQN mixing zone from fifty samples collected between 1982 and 2012 were used in this calibration study. These observed data were compared with computed downstream temperatures from the numerical model for the same periods of time. In this process, sensitivity tests were performed for the effective diffuser slot width, entrainment relationship, and plume re-entrainment function. The results show acceptable agreement between computed and measured temperatures, particularly at river temperatures greater than 75ºF. The overall average discrepancy between the measured and computed downstream temperatures was about 0.55 Fº (0.31 Cº). For downstream temperatures above 75ºF, the average discrepancy was about 0.38 Fº (0.21 Cº). There was no significant change in the model performance compared to the previous calibration, and as a result, no update was required in the model parameter set.
 
i
The basic formulation of the numerical model is presented herein. Three empirical parameters are used to calibrate the model. The first is the effective width of the diffuser slot, and the  
 
second is a relationship used to compute the entrainment of ambient water along the trajectory of the plume. The third parameter is a relationship for the amount of diffuser effluent that is re-entrained into the diffuser plume for periods of sustained low river flow.


Temperature measurements across the downstream end of the SQN mixing zone from fifty samples collected between 1982 and 2012 were used in this calibration study. These observed data were compared with computed downstream temperatures from the numerical model for the same periods of time. In this process, sensitivity tests were performed for the effective diffuser slot width, entrainment relationship, and plume re-entrainment function. The results show acceptable agreement between computed and measured temperatures, particularly at river temperatures greater than 75ºF. The overall average discrepancy between the measured and computed downstream temperatures was about 0.55 Fº (0.31 Cº). For downstream temperatures above 75ºF, the average discrepancy was about 0.38 Fº (0.21 Cº). There was no significant change in the model performance compared to the previous calibration, and as a result, no update was required in the model parameter set.
CONTENTS Page EXECUTIVE  
ii CONTENTS Page EXECUTIVE  


==SUMMARY==
==SUMMARY==
  .............................................................................................................
  ............................................................................................................. i LIST OF FIGURES ....................................................................................................................... iii LIST OF TABLES ......................................................................................................................... iii INTRODUCTION .......................................................................................................................... 1 BACKGROUND ............................................................................................................................ 3 NUMERICAL MODEL.................................................................................................................. 7 Plume Entrainment ........................................................................................................... 12 Diffuser Effluent Re-Entrainment ..................................................................................... 13 CALIBRATION ........................................................................................................................... 13 Previous Calibration Data and Calibration Work ................................................................... 13 New Calibration Data and Calibration Work.......................................................................... 16 Diffuser Slot Width............................................................................................................ 16 Plume Entrainment Coefficient ......................................................................................... 16 Diffuser Effluent Re-Entrainment ..................................................................................... 18 Results of Updated Calibration ........................................................................................ 20 CONCLUSIONS........................................................................................................................... 23 REFERENCES ............................................................................................................................. 24 ii
iLIST OF FIGURES ...............................................................................................................
........ iiiLIST OF TABLES ................................................................................................................
......... iiiINTRODUCTION ..................................................................................................................
........ 1BACKGROUND ....................................................................................................................
........ 3NUMERICAL MODEL ...............................................................................................................
... 7Plume Entrainment ...........................................................................................................
12Diffuser Effluent Re-Entrainment .....................................................................................
13CALIBRATION ...................................................................................................................
........ 13Previous Calibration Data and Calibration Work ................................................................... 13New Calibration Data and Calibration Work .......................................................................... 16Diffuser Slot Width ............................................................................................................ 16Plume Entrainment Coefficient .........................................................................................
16Diffuser Effluent Re-Entrainment .....................................................................................
18Results of Updated Calibration ........................................................................................
20CONCLUSIONS....................................................................................................................
....... 23REFERENCES ....................................................................................................................
......... 24 iii LIST OF FIGURES Page Figure 1. Location of Sequoyah Nuclear Plant .............................................................................. 1Figure 2. Chickamauga Reservoir in the Vicinity of Sequoyah Nuclear Plant ............................. 2Figure 3. Locations of Instream Temperature Monitors for Sequoyah Nuclear Plant ................... 6Figure 4. Sequoyah Nuclear Plant Outfall 101 Discharge Diffusers ............................................. 7Figure 5. Two-Dimensional Plane Buoyant Jet Model for a Submerged Diffuser ........................ 8Figure 6. Sensitivity of Computed Temperature T d to Diffuser Effective Slot Width ................ 17Figure 7. Sensitivity of Computed Temperature T d to Plume Entrainment Coefficient .............. 18Figure 8. Sensitivity of Computed Temperature T d to Effluent Re-Entrainment Function ......... 19Figure 9. Comparison of Computed and Measured Temperatures T d for Field Studies from April 1982 through November 2012 ...................................................................21Figure 10. Comparison of Computed and Measured 24-hour Average Temperatures T d for Station 8 for 2010 .................................................................................................21Figure 11. Comparison of Computed and Measured Hourly Average Temperatures T d for Station 8 for 2010 ................................................................................................22 LIST OF TABLES Table 1. Summary of SQN Instream Thermal Limits for Outfall 101 ........................................... 5Table 2. Thermal Surveys at SQN from April 1982 through March 1983 .................................. 14Table 3. Thermal Surveys at SQN from March 1996 through April 2003 .................................. 15Table 4. Thermal Surveys at SQN from February 2004 through November 2007 ...................... 15Table 5. Thermal Surveys at SQN from November 2012 ........................................................... 16Table 6. Plume Re-Entrainment Iteration Numbers and Factors ................................................. 19 1 INTRODUCTION The Sequoyah Nuclear Plant (SQN) is located on the right bank of Chickamauga Reservoir at Tennessee River Mile (TRM) 484.5. As shown in Figure 1, the plant is northeast of Chattanooga, Tennessee, about 13.5 miles upstream and 45.4 miles downstream of Chickamauga Dam and Watts Bar Dam, respectively. As shown in Figure 2, the reservoir in the vicinity of SQN contains a deep main channel with adjacent overbanks and embayments. The main channel is approximately 900 feet wide and 50 to 60 f eet deep, depending on the pool elevation in Chickamauga Reservoir. The overbanks are highly irregular and usually less than 20 feet deep.


SQN has two units with a total summertime gross generating capacity of about 2350 MWe and an associated waste heat load of about 15.6x10 9 Btu/hr (TVA, 2010). The heat transferred from the steam condensers to the cooling water is dissipated to the atmosphere by two natural draft cooling towers, to the river by a two-leg submerged multiport diffuser, or by a combination of both. The release to the river is identified in the National Pollutant Discharge Elimination System (NPDES) Permit as Outfall 101.
LIST OF FIGURES Page Figure 1. Location of Sequoyah Nuclear Plant .............................................................................. 1 Figure 2. Chickamauga Reservoir in the Vicinity of Sequoyah Nuclear Plant ............................. 2 Figure 3. Locations of Instream Temperature Monitors for Sequoyah Nuclear Plant................... 6 Figure 4. Sequoyah Nuclear Plant Outfall 101 Discharge Diffusers ............................................. 7 Figure 5. Two-Dimensional Plane Buoyant Jet Model for a Submerged Diffuser ........................ 8 Figure 6. Sensitivity of Computed Temperature Td to Diffuser Effective Slot Width ................ 17 Figure 7. Sensitivity of Computed Temperature Td to Plume Entrainment Coefficient .............. 18 Figure 8. Sensitivity of Computed Temperature Td to Effluent Re-Entrainment Function ......... 19 Figure 9. Comparison of Computed and Measured Temperatures Td for Field Studies from April 1982 through November 2012 ...................................................................21 Figure 10. Comparison of Computed and Measured 24-hour Average Temperatures Td for Station 8 for 2010 .................................................................................................21 Figure 11. Comparison of Computed and Measured Hourly Average Temperatures Td for Station 8 for 2010 ................................................................................................22 LIST OF TABLES Table 1. Summary of SQN Instream Thermal Limits for Outfall 101........................................... 5 Table 2. Thermal Surveys at SQN from April 1982 through March 1983 .................................. 14 Table 3. Thermal Surveys at SQN from March 1996 through April 2003 .................................. 15 Table 4. Thermal Surveys at SQN from February 2004 through November 2007...................... 15 Table 5. Thermal Surveys at SQN from November 2012 ........................................................... 16 Table 6. Plume Re-Entrainment Iteration Numbers and Factors ................................................. 19 iii
Figure 1. Location of Sequoyah Nuclear Plant Figure 2. Chickamauga Reservoir in th e Vicinity of Sequoyah Nuclear Plant 3 The compliance of SQN operation with the instream temperature limits specified in the NPDES permit (TDEC, 2011) is based on a downstream temperature that is calculated on a real-time basis by a numerical computer model. Part III, Section G of the permit states:
The numerical model used to determine co mpliance with the temperature requirements for Outfall 101 shall be subject of a calibra tion study once during the permit cycle. The study should be accomplished in time for data to be available for the next permit application for re-issuance of the permit. A re port of the study will be presented to the Division of Water Pollution Control. Any adjustments to th e numerical model to improve its accuracy will not need separate approval from the Division of Water Pollution Control; however, the Division will be notified when such adjustments are made.
This report presents a summary of complian ce model and the required calibration study.  


BACKGROUND
INTRODUCTION The Sequoyah Nuclear Plant (SQN) is located on the right bank of Chickamauga Reservoir at Tennessee River Mile (TRM) 484.5. As shown in Figure 1, the plant is northeast of Chattanooga, Tennessee, about 13.5 miles upstream and 45.4 miles downstream of Chickamauga Dam and Watts Bar Dam, respectively. As shown in Figure 2, the reservoir in the vicinity of SQN contains a deep main channel with adjacent overbanks and embayments. The main channel is approximately 900 feet wide and 50 to 60 feet deep, depending on the pool elevation in Chickamauga Reservoir. The overbanks are highly irregular and usually less than 20 feet deep.
SQN has two units with a total summertime gross generating capacity of about 2350 MWe and an associated waste heat load of about 15.6x109 Btu/hr (TVA, 2010). The heat transferred from the steam condensers to the cooling water is dissipated to the atmosphere by two natural draft cooling towers, to the river by a two-leg submerged multiport diffuser, or by a combination of both. The release to the river is identified in the National Pollutant Discharge Elimination System (NPDES) Permit as Outfall 101.
Figure 1. Location of Sequoyah Nuclear Plant 1


The original method of monitoring thermal comp liance for the SQN diffuser discharge (i.e., Outfall 101), included two temperature stations located near the downstream corners of the mixing zone, Station 8 and Station 11 (see Figure 2). Because of the necessity to keep the navigation channel free of obstructions, temperature stations could not be situated between these locations to monitor the center of the thermal plume. The upstream ambient river temperature was measured at Station 13, located on the plant intake skimmer wall. In August 1983, the Tennessee Valley Authority (TVA) reported the result s of six field studies of the SQN diffuser performance under various river and plant operating conditions (TVA, 1983a). The data summarized in the report showed that based on measured temperature variations across the downstream edge of the mixing zone, Station 8 and Station 11 were inad equate in providing a representative cross-sectional average temperature of the thermal plume. In particular, it was found that Station 11 often was not in the main path of flow of the thermal plume and did not always show elevated temperatures. The remaining downstream monitor, St ation 8, also was not considered adequate because it again was located outside the navigation cha nnel. In the report, TVA proposed an alternate method to monitor thermal compliance involving the use of a numerical model to simulate the behavior of the thermal plume in the mixing zone. The model would provide a real-time assessment of compliance with the thermal discharge limitations. Information required for the model included: the ambient river temperature upstream of the diffuser mixing zone (measured at Station 13, see Figure 2), the di scharge in the river at SQN (determined from measurements at Watts Bar Dam and Chickamauga Dam), the depth of flow in the river (measured at Station 13), the temperature of the flow issuing from the plant diffusers (measured at Station 12, see Figu re 2), and the discharge of the flow issuing from the diffusers (determined from measurements at both Station 12 and Station 13). A PC, located in the SQN Environmental Data Station (EDS), was to be used collect the required data, compute the thermal compliance parameters, and distri bute the results to plant operators (see TVA, 1983b). The August 1983 report presented results demonstrating the validity of using the numerical model for tracking compliance with the Outfall 101 thermal limitations.
Figure 2. Chickamauga Reservoir in the Vicinity of Sequoyah Nuclear Plant 2


4 The method of using the numerical model was sent to the Environmental Protection Agency (EPA) and the Tennessee Department of Environment and Conservation (TDEC), requesting approval for implementation as a valid means for monitoring SQN thermal compliance. The key advantage of the method includes a representation of the cross-sectiona l average downstream temperature that is at least as good as the instream temperature measurements from Station 8 and Station 11. The method also provides consistency with procedures that are used for scheduling releases from Watts Bar Dam and Chickamauga Dam, as well as procedures for operating Sequoyah Nuclear Plant. This consistency helps TVA minimize unexpected events that can potentially threaten the NPDES thermal limits for Outfall 101. In March 1984 approval was granted for TVA to use the numerical model as the primary method to track thermal compliance.
The compliance of SQN operation with the instream temperature limits specified in the NPDES permit (TDEC, 2011) is based on a downstream temperature that is calculated on a real-time basis by a numerical computer model. Part III, Section G of the permit states:
Except for infrequent outages, the model has been in use ever since. S ubsequently, Station 11 was removed from the river. However, Station 8 was retained to provide an optional method to track thermal compliance should there be a need to remove the model from service.
The numerical model used to determine compliance with the temperature requirements for Outfall 101 shall be subject of a calibration study once during the permit cycle. The study should be accomplished in time for data to be available for the next permit application for re-issuance of the permit. A report of the study will be presented to the Division of Water Pollution Control. Any adjustments to the numerical model to improve its accuracy will not need separate approval from the Division of Water Pollution Control; however, the Division will be notified when such adjustments are made.
Due to the ever changing understanding of the hydrothermal aspects of Chickamauga Reservoir, as well as the operational aspects of the nuclear plant and river system, modifications have been necessary over the years for both the numerical model and thermal criteria for Outfall 101. The current version of the model is presented in more detail later. The current thermal criteria are presented in Table 1. The limit for the temperature at the downstream end of the mixing zone (T d) is a 24-hour average value of 86.9°F (30.5°C) and an hourly average value of 93.0°F (33.9°C). The instream temperature rise (T) is limited to a 24-hour average of 5.4 F° (3.0 Cº) for months April through October, and 9.0 F° (5.0 Cº) for months November through March. The latter "wintertime" limit was obtained by a 316(a) variance. The temperature rate-of-change at the downstream end of the mixing zone (dT d/dt) is limited to  3.6 F°/hr (2 Cº/hr). With the compliance model, dT d/dt is based on 24-hour average river conditions and 15 minute plant conditions. Other details related to the temperature limits for Outfall 101 are provided in the notes accompanying Table 1. It is important to note that compliance with instream temperature limits are based on a computed downstream temperature at a depth of 5.0 feet. And in a similar fashion, the upstream temperature is measured at the 5.0 foot depth, based on the average of temperature readings at the 3-f oot, 5-foot and 7-foor depths.  
This report presents a summary of compliance model and the required calibration study.
BACKGROUND The original method of monitoring thermal compliance for the SQN diffuser discharge (i.e.,
Outfall 101), included two temperature stations located near the downstream corners of the mixing zone, Station 8 and Station 11 (see Figure 2). Because of the necessity to keep the navigation channel free of obstructions, temperature stations could not be situated between these locations to monitor the center of the thermal plume. The upstream ambient river temperature was measured at Station 13, located on the plant intake skimmer wall. In August 1983, the Tennessee Valley Authority (TVA) reported the results of six field studies of the SQN diffuser performance under various river and plant operating conditions (TVA, 1983a). The data summarized in the report showed that based on measured temperature variations across the downstream edge of the mixing zone, Station 8 and Station 11 were inadequate in providing a representative cross-sectional average temperature of the thermal plume. In particular, it was found that Station 11 often was not in the main path of flow of the thermal plume and did not always show elevated temperatures. The remaining downstream monitor, Station 8, also was not considered adequate because it again was located outside the navigation channel. In the report, TVA proposed an alternate method to monitor thermal compliance involving the use of a numerical model to simulate the behavior of the thermal plume in the mixing zone. The model would provide a real-time assessment of compliance with the thermal discharge limitations.
Information required for the model included: the ambient river temperature upstream of the diffuser mixing zone (measured at Station 13, see Figure 2), the discharge in the river at SQN (determined from measurements at Watts Bar Dam and Chickamauga Dam), the depth of flow in the river (measured at Station 13), the temperature of the flow issuing from the plant diffusers (measured at Station 12, see Figure 2), and the discharge of the flow issuing from the diffusers (determined from measurements at both Station 12 and Station 13). A PC, located in the SQN Environmental Data Station (EDS), was to be used collect the required data, compute the thermal compliance parameters, and distribute the results to plant operators (see TVA, 1983b). The August 1983 report presented results demonstrating the validity of using the numerical model for tracking compliance with the Outfall 101 thermal limitations.
3


Originally, the ambient river temperature for the temperature rise was measured at Station 13, about 1.1 miles upstream of the discharge diffu sers. However, under sustained low flow  
The method of using the numerical model was sent to the Environmental Protection Agency (EPA) and the Tennessee Department of Environment and Conservation (TDEC), requesting approval for implementation as a valid means for monitoring SQN thermal compliance. The key advantage of the method includes a representation of the cross-sectional average downstream temperature that is at least as good as the instream temperature measurements from Station 8 and Station 11. The method also provides consistency with procedures that are used for scheduling releases from Watts Bar Dam and Chickamauga Dam, as well as procedures for operating Sequoyah Nuclear Plant. This consistency helps TVA minimize unexpected events that can potentially threaten the NPDES thermal limits for Outfall 101. In March 1984 approval was granted for TVA to use the numerical model as the primary method to track thermal compliance.
Except for infrequent outages, the model has been in use ever since. Subsequently, Station 11 was removed from the river. However, Station 8 was retained to provide an optional method to track thermal compliance should there be a need to remove the model from service.
Due to the ever changing understanding of the hydrothermal aspects of Chickamauga Reservoir, as well as the operational aspects of the nuclear plant and river system, modifications have been necessary over the years for both the numerical model and thermal criteria for Outfall 101. The current version of the model is presented in more detail later. The current thermal criteria are presented in Table 1. The limit for the temperature at the downstream end of the mixing zone (Td) is a 24-hour average value of 86.9°F (30.5°C) and an hourly average value of 93.0°F (33.9°C). The instream temperature rise (T) is limited to a 24-hour average of 5.4 F° (3.0 Cº)
for months April through October, and 9.0 F° (5.0 Cº) for months November through March.
The latter wintertime limit was obtained by a 316(a) variance. The temperature rate-of-change at the downstream end of the mixing zone (dTd/dt) is limited to +/-3.6 F°/hr (+/-2 Cº/hr). With the compliance model, dTd/dt is based on 24-hour average river conditions and 15 minute plant conditions. Other details related to the temperature limits for Outfall 101 are provided in the notes accompanying Table 1. It is important to note that compliance with instream temperature limits are based on a computed downstream temperature at a depth of 5.0 feet. And in a similar fashion, the upstream temperature is measured at the 5.0 foot depth, based on the average of temperature readings at the 3-foot, 5-foot and 7-foor depths.
Originally, the ambient river temperature for the temperature rise was measured at Station 13, about 1.1 miles upstream of the discharge diffusers. However, under sustained low flow conditions, it was discovered that heat from the diffusers can migrate upstream and reach the area of Station 13. In this manner, the ambient temperature can become elevated, thereby artificially reducing the measured impact of the plant on the river (i.e., T). As such, in late March 2006, a new ambient temperature station was installed in the river further upstream at TRM 490.4, about 6.8 miles upstream of the diffusers. The location of the new monitor, entitled Station 14, is shown in Figure 3.
4


conditions, it was discovered that heat from the diffusers can migrate upstream and reach the area of Station 13. In this manner, the ambient temperature can become elevated, thereby artificially reducing the measured impact of the plant on the river (i.e., T). As such, in late March 2006, a new ambient temperature station was installed in the river further upstream at TRM 490.4, about 6.8 miles upstream of the diffusers.
Table 1. Summary of SQN Instream Thermal Limits for Outfall 101 Averaging                        NPDES Type of Limit (hours)                         Limit2 Max Downstream Temperature, Td                              24                       86.9°F (30.5°C)
The location of the new monitor, entitled Station 14, is shown in Figure 3.
Max Downstream Temperature, Td                                1                       93.0°F (33.9°C)
5 Table 1. Summary of SQN Instream Thermal Limits for Outfall 101 Type of Limit Averaging (hours) NPDES Limit 2 Max Downstream Temperature, T d 24 86.9°F (30.5°C) Max Downstream Temperature, T d 1 93.0°F (33.9°C) Max Temperature Rise, T 24 5.4 F°/9.0 F° (3.0 Cº/5.0 Cº) Max Temperature Rate-of-Change, dT d/dt Mixed 3.6 F°/hr ( 2 Cº/hr) Notes: 1. Compliance with the river limitations (river temperature, temperature rise, and rate of temperature change) shall be monitored by means of a numerical model that solves the thermohydrodynamic equations governing the flow and thermal conditions in the reservoir. This numerical model will utilize measured values of the upstream temperature profile and river stage; flow, temperature and performance characteristics of the diffuser discharge; and river flow as determined from releases at the Watts Bar and Chickamauga Dams. In the event that the modeling system described here is out of service, an alternate method will be employed to measure water temperatures at least one time per day and verify compliance of the maximum river temperature and maximum temperature rise. Depth average measurements can be taken at a downstream backup temperature monitor at the downstream end of the diffuser mixing zone (left bank Tennessee River mile 483.4) or by grab sampling from boats. Boat sampling will include average 5-foot depth measurements (average of 3, 5, and 7-foot depths). Sampling from a boat shall be made outside the skimmer wall (ambient temperature) and at quarter points and mid-channel at downstream Tennessee River mile 483.4 (downstream temperature). The downstream reported value will be a depth (3, 5, and 7-foot) and lateral (quarter points and midpoint) average of the instream measurements. Monitoring in the alternative mode using boat sampling shall not be required when unsafe boating conditions occur.
Max Temperature Rise, T                               24             5.4 F°/9.0 F° (3.0 Cº/5.0 Cº)
Max Temperature Rate-of-Change, dTd/dt                         Mixed                   +/-3.6 F°/hr (+/-2 Cº/hr)
Notes:
: 1. Compliance with the river limitations (river temperature, temperature rise, and rate of temperature change) shall be monitored by means of a numerical model that solves the thermohydrodynamic equations governing the flow and thermal conditions in the reservoir. This numerical model will utilize measured values of the upstream temperature profile and river stage; flow, temperature and performance characteristics of the diffuser discharge; and river flow as determined from releases at the Watts Bar and Chickamauga Dams. In the event that the modeling system described here is out of service, an alternate method will be employed to measure water temperatures at least one time per day and verify compliance of the maximum river temperature and maximum temperature rise. Depth average measurements can be taken at a downstream backup temperature monitor at the downstream end of the diffuser mixing zone (left bank Tennessee River mile 483.4) or by grab sampling from boats. Boat sampling will include average 5-foot depth measurements (average of 3, 5, and 7-foot depths). Sampling from a boat shall be made outside the skimmer wall (ambient temperature) and at quarter points and mid-channel at downstream Tennessee River mile 483.4 (downstream temperature). The downstream reported value will be a depth (3, 5, and 7-foot) and lateral (quarter points and midpoint) average of the instream measurements. Monitoring in the alternative mode using boat sampling shall not be required when unsafe boating conditions occur.
: 2. Compliance with river temperature, temperature rise, and rate of temperature change limitations shall be applicable at the edge of a mixing zone which shall not exceed the following dimensions: (1) a maximum length of 1500 feet downstream of the diffusers, (2) a maximum width of 750 feet, and (3) a maximum length of 275 feet upstream of the diffusers. The depth of the mixing zone measured from the surface varies linearly from the surface 275 feet upstream of the diffusers to the top of the diffuser pipes and extends to the bottom downstream of the diffusers. When the plant is operated in closed mode, the mixing zone shall also include the area of the intake forebay.
: 2. Compliance with river temperature, temperature rise, and rate of temperature change limitations shall be applicable at the edge of a mixing zone which shall not exceed the following dimensions: (1) a maximum length of 1500 feet downstream of the diffusers, (2) a maximum width of 750 feet, and (3) a maximum length of 275 feet upstream of the diffusers. The depth of the mixing zone measured from the surface varies linearly from the surface 275 feet upstream of the diffusers to the top of the diffuser pipes and extends to the bottom downstream of the diffusers. When the plant is operated in closed mode, the mixing zone shall also include the area of the intake forebay.
: 3. Information required by the numerical model and evaluations for the river temperature, temperature rise, and rate of temperature change shall be made every 15 minutes. The ambient temperature shall be determined at the 5-foot depth as the average of measurements at depths 3 feet, 5 feet, and 7 feet. The river temperature at the downstream end of the mixing zone shall be determined as that computed by the numerical model at a depth of 5 feet.
: 3. Information required by the numerical model and evaluations for the river temperature, temperature rise, and rate of temperature change shall be made every 15 minutes. The ambient temperature shall be determined at the 5-foot depth as the average of measurements at depths 3 feet, 5 feet, and 7 feet. The river temperature at the downstream end of the mixing zone shall be determined as that computed by the numerical model at a depth of 5 feet.
: 4. Daily maximum temperatures for the ambient temperature, the river temperature at the downstr eam edge of the mixing zone, and temperature rise shall be determined from 24-hour average values. The 24-hour average values shall be calculated every 15 minutes using the current and previous ninety-six 15-minute values, thus creating a 'rolling' average. The maximum of the ninety-six observations generated per day by this procedure shall be reported as the daily maximum value. For the river temperature at the downstream end of the mixing zone, the 1-hour average shall also be determined. The 1-hour average values shall be calculated every 15 minutes using the average of the current and previous four 15-minute values, again creating a rolling average.
: 4. Daily maximum temperatures for the ambient temperature, the river temperature at the downstream edge of the mixing zone, and temperature rise shall be determined from 24-hour average values. The 24-hour average values shall be calculated every 15 minutes using the current and previous ninety-six 15-minute values, thus creating a rolling average. The maximum of the ninety-six observations generated per day by this procedure shall be reported as the daily maximum value. For the river temperature at the downstream end of the mixing zone, the 1-hour average shall also be determined. The 1-hour average values shall be calculated every 15 minutes using the average of the current and previous four 15-minute values, again creating a rolling average.
: 5. The daily maximum 24-hour average river temperature is limited to 86.9°F (30.5°C). Since the state's criteria makes exception for exceeding the value as a result of natural conditions, when the 24-hour average ambient temperature exceeds 84.9°F (29.4°C) and the plant is operated in helper mode, the maximum temperature may exceed 86.9°F (30.5°C). In no case shall the plant discharge cause the 1-hour average downstream river temperature at the downstream of the mixing zone to exceed 93.0°F (33.9°C) without the consent of the permitting authority.
: 5. The daily maximum 24-hour average river temperature is limited to 86.9°F (30.5°C). Since the states criteria makes exception for exceeding the value as a result of natural conditions, when the 24-hour average ambient temperature exceeds 84.9°F (29.4°C) and the plant is operated in helper mode, the maximum temperature may exceed 86.9°F (30.5°C). In no case shall the plant discharge cause the 1-hour average downstream river temperature at the downstream of the mixing zone to exceed 93.0°F (33.9°C) without the consent of the permitting authority.
: 6. The temperature rise is the difference between the 24-hour average ambient river temperature measured at Station 14 and the computed 24-hour average temperature at the downstream end of the mixing zone. The 24-hour average temperature rise shall be limited to 5.4F° (3.0 C°) during the months of April through October. The 24-hour average temperature rise shall be limited to 9.0F° (5.0 C°) during the months of November through March.
: 6. The temperature rise is the difference between the 24-hour average ambient river temperature measured at Station 14 and the computed 24-hour average temperature at the downstream end of the mixing zone. The 24-hour average temperature rise shall be limited to 5.4F° (3.0 C°) during the months of April through October. The 24-hour average temperature rise shall be limited to 9.0F° (5.0 C°) during the months of November through March.
: 7. The rate of temperature change shall be computed at 15-minute intervals based on the current 24-hour average ambient river temperature, current 24-hour-hour average river flow, and current values of the flow and temperature of water discharging through the diffuser pipes. The 1-hour average rate of temperature change shall be calculated every 15-minutes by averaging the current and previous four 15-minute values. The 1-hour average rate of temperature change shall be limited to 3.6F° (2 C°) per hour.
: 7. The rate of temperature change shall be computed at 15-minute intervals based on the current 24-hour average ambient river temperature, current 24-hour-hour average river flow, and current values of the flow and temperature of water discharging through the diffuser pipes. The 1-hour average rate of temperature change shall be calculated every 15-minutes by averaging the current and previous four 15-minute values. The 1-hour average rate of temperature change shall be limited to 3.6F° (2 C°) per hour.
5


6  Figure 3. Locations of Instream Temper ature Monitors for Sequoyah Nuclear Plant SQNSta 8, TRM 483.4 Mixing Zone Diffusers Sta 12Sta 13, TRM 484.7 T = T d-T u T uSta 14, TRM 490.4 T d dT d/dtChickamauga ReservoirTennessee River Soddy CreekOpossumCreekDaily average flow Intake 7 NUMERICAL MODEL The diffusers at SQN are located on the bottom of the navigation channel in Chickamauga Reservoir. As shown in Figur e 4, each diffuser is 350 feet long, and contains seventeen 2-inch diameter ports per linear foot of pipe, arranged in rows over an arc of approximately 18 degrees in the downstream upper quadrant of the diffuser conduit. The two diffuser legs rest on an elevated pad approximately 10 feet above the bottom of the river, occupying the 700 feet of
Sta 14, TRM 490.4 Tu Opossum Creek Chickamauga Reservoir Tennessee River Soddy Creek T = Td - Tu Sta 13, TRM 484.7 Daily average flow Intake SQN Sta 12 Mixing Zone Td                  Diffusers dTd/dt            Sta 8, TRM 483.4 Figure 3. Locations of Instream Temperature Monitors for Sequoyah Nuclear Plant 6
 
navigation channel on the plant-side of the river (right side of the channel, looking downstream). The flow in the immediate vicinity of the ports is far too complex to be analyzed on a real-time basis with current computer technology. Therefore, a simplifying assumption is made that the diffusers can be treated as a slot jet with a length equal to that of the perforated sections of the pipe. The width of this assumed slot is one of three empirical parameters used to calibrate the model. The second is a relationship used to compute the entrainment of ambient water along the trajectory of the plume and the third is a relationshi p for the amount of diffuser effluent that is re-entrained into the diffuser plum e for sustained low river flow.
 
The initial development of the numerical model is described in detail by Benton (2003). Based on later studies that provided evidence that re-entrainment occurs (TVA, 2009), the original numerical model was modified to better reflect the local buildup of heat that occurs in the river under such conditions. Before presenting calibrati on results, it is appropriate first to provide a
 
brief description of the model formulation.
Figure 4. Sequoyah Nuclear Plant Outfall 101 Discharge Diffusers 8 In general, the model treats the effluent discharge from the diffusers as a fully mixed, plane buoyant jet with a two-dimensional (vertical and longitudinal) trajector
: y. This is shown schematically in Figure 5. The jet discharges into a temperature-stratified, uniform-velocity flow and entrains ambient fluid as it evol ves along its trajectory. The width, b, of the jet and the dilution of the effluent heat energy increase along the jet trajectory, decreasing the bulk mixed temperature along its path.
Figure 5. Two-Dimensional Plane Buoyant Jet Model for a Submerged Diffuser Consideration of the mass, momentum, and energy for a cross section of the plume orthogonal to the jet trajectory and having a differential thickness ds, yields the following system of ordinary differential equations, ejjmbv ds d (conservation of mass in jet), (1) eejjumbuv ds d (conservation of x momentum in jet), (2) jeeejjbgvmbvv ds d (conservation of y momentum in jet), (3) eejjjcTmbcTv ds d (conservation of thermal energy in jet), (4) j v u ds dx, and (5) j v v ds dy, (velocity of jet tangent to trajectory). (6) uriver(y) = u e y x s b (s) Triver(y)R u v j v 9 The following auxiliary relationships also are needed to solve the differential equations,  2/1 2 2vuumee e , (7) jwater j T, (8) ewater e T, (9) yTT river e, (10) river euu, (11) 0e v , and (12) 2/122vuv j. (13)  In these equations, the subscripts j and e denote conditions within the buoyant jet and conditions within the water upstream of the mixing zone that is entrained by the jet, respectively. Thus,  j denotes the density of water at a point inside the jet and  e denotes the density of water entrained from upstream of the mixing zone.
T e denotes the temperature of the water upstream of the mixing zone that is entrained by the jet. The x-velocity of the entrained water, u e, is the same as the river velocity, u river, which is negligible in the vertical direction (i.e., v e = 0). The magnitude of the velocity along the jet trajectory is denoted by v j, with x- and y-components u and v , respectively. The individual jets issuing from th e array of 2-inch diamet er outlet ports of each diffuser are modeled as a plane je t issuing from a slot of width b 0. Ideally, the slot width is chosen to preserve the total momentum flux issuing from the circular ports of the diffuser.
However, as indicated earlier, for this formulation, the slot width is used as a term to calibrate the numerical model. The river velocity u river is computed by a one-dimensional unsteady flow model of Chickamauga Reservoir. Apart from information for the reservoir geometry, the basic input for the flow model includes the measured hydro releases at Watts Bar Dam and Chickamauga Hydro Dam and the measured river water surface elevation at SQN.
 
The transverse gradients of velocity, temperature, and density that occur within the jet due to turbulent diffusion of the effluent momentum and energy are modeled as an entrainment mass flux, m e, induced by the vectorial difference between the velocity of the jet and that of the river flow upstream of the mixing zone. Empirical relationships for the entrainment coefficient  are based on arguments of jet self-similarity and asymptotic behavior. These relationships incorporate non-dimensional parameters, such as a Richardson or densimetric Froude number, that describe the relative strengths of buoyancy and momentum flux in the jet (e.g., see Fischer et al., 1979). Again, as indicated earlier, the entrainment coefficient, lik e the slot width, is adjusted as part of the calibration process.
10 The initial conditions required by the model include,  0 0bbss, (14)  cos 0Rxss, (15)  sin 0Ryss, (16)  cos 0 0 0 b q uss, (17)  sin 0 0 0 b q vss, and (18) 0 0TTss j. (19)  This system of differential equations, auxiliary equations, and initial conditions comprise a first-order, initial-value problem that can be integrated from the diffuser slot outlet (s = s 0) to any point along the plume trajectory.
Note in the above that R is the radius of the diffuser conduit, b 0 is the effective width of the diffuser slot,  is the exit angle of the diffuser jet, T 0 is the temperature of effluent i ssuing from the slot, and q 0 is the effluent discha rge per unit length of diffuser. In practice, integration of the govern ing equations is halted when the jet centerline reaches a point five feet below the water surface (the regulatory compliance depth) or when the upper boundary of the jet reaches the water surface. The jet temperature, T j, at this point is reported as the fully-mixed temperature to which the thermal regulatory criteria are applied or to which monitoring station data at the edge of the regulatory mixing zone are compared. The integration is done with an adaptive step-size, fourth-order Runge-Kutta algorithm.
 
In the model, Station 13 (Figure 2), located 1.1 miles upstream of the diffusers, is used to represent the temperature of the water entrained in the mixing zone, yTT river e. Whereas this is a good assumption for river flows where the effl uent plume is carried downstream, it weakens for low river flows. Based on the understanding gained in recent studies (TVA, 2009), it is known that partial re-entrainment of the effluent plume occurs at sustained low river flow, increasing the temperature of the water entering the mixing zone above that represented by Station 13. To simulate this phenomenon, the model modifies the Station 13 temperature profile for low river flows. For each point in the profile, a local densimetric Froude number is computed as
 
bZZ ge epe river r u F , (20) 11 where u river is the average river velocity, Z e-Z b is the elevation of the profile point relative to the bottom elevation of the river, e is the entrainment water density at that elevation, and p is the density of the effluent plume at the 5-foot compliance depth. The densimetric Froude number represents the ratio of momentum forces to buoyancy forces in the river flow. If F r is less than 1.0 (i.e., buoyancy greater than momentum), it is assumed that the buoyancy of the plume is sufficient to cause part of the plume to travel upstream and become re-entrained into the flow, thereby increasing the temperature of the water entering the mixing zone. The modified entrainment temperature N e T at each point in the Station 13 profile is computed by repeatedly evaluating 1n e p n eTR1.0TRT (21) for values of n from 1 to N , where N is the number of iterations of Eq. (21), R is a re-entrainment fraction, 0n e T is the original Station 13 temperature, and T p is the computed plume temperature at the 5-foot depth.
N and R are functions of the 24-hour average river velocity. After new Station 13 temperatures have been computed for the entire profile, the mixing zone computation is performed again, using the modified profile to get a new plume temperature at the 5-foot depth. It is emphasized that the final result of the model is the computed temperature at the downstream end of the mixing zone. The instream temperature rise is still computed based on the temperature measurement at the new ambient temperature monitor, Station 14.
 
Values for N and R are calibrated based on observed temperatures at the downstream end of the diffuser mixing zone for low river flow conditions, as indicated earlier.
Depending on the river stage, the modifications by Equatio n 21 begin to take effect as the 24-hour average river flow drops through the range of 17,000 cfs to 25,000 cf s, and increases as the 24-hour average river flow continues to drop. For river flows above this range, no modification is needed for re-entrainment.
 
The downstream temperature and instream temper ature rise provided by the model are computed every 15 minutes, using instantaneous values of the measured diffuser discharge temperature (Station 12), measured upstream temperature profile (Station 13), measured ambient temperature (Station 14), measured river elev ation (Station 13), and computed values of the river velocity (one-dimensional unsteady flow model of Chickama uga Reservoir) and diffuser discharge. The diffuser discharge is computed based on the difference in water elevation between the SQN


diffuser pond (Station 12) and the river (Station 13). All computations are performed every 15 minutes to provide rolling hourly and 24-hour average values. Th e hourly averages are based on the current and previous four 15-minute values , whereas the 24 hour averages are based on current and previous ninety-six 15-minute values. The temperature rate-of-change is determined slightly different, being computed every 15 minutes based on current 24-hour average river conditions and current 15-minute values of the flow and temperature of water discharging from the SQN diffusers. This method was adopted in August 2001 in order to distinguish between rate-of-change events due to changes in SQN operations (i.e. changes in plant discharge flow and/or temperature) and those due to non-SQN changes in opera tions (e.g., changes in river flow). Prior to this change, SQN was held accountable for temperature rate-of-change events over which it had very little control or influence.
NUMERICAL MODEL The diffusers at SQN are located on the bottom of the navigation channel in Chickamauga Reservoir. As shown in Figure 4, each diffuser is 350 feet long, and contains seventeen 2-inch diameter ports per linear foot of pipe, arranged in rows over an arc of approximately 18 degrees in the downstream upper quadrant of the diffuser conduit. The two diffuser legs rest on an elevated pad approximately 10 feet above the bottom of the river, occupying the 700 feet of navigation channel on the plant-side of the river (right side of the channel, looking downstream).
12 Plume Entrainment Two empirical relationships for the plume entrainment coefficient are available in the numerical model. The first, developed by McIntosh, was inferred from a relationship for the entrainment coefficient determined from the data re ported in 1983 (TVA, 1983a) and is given by 00.155.000.175.027.0 d d 2.5 d dF for F0.75 for F 0.27F for  , (22)  where F d is the densimetric Froude number of the diffuser discharge defined by ood o d d gb w F. (23)
The flow in the immediate vicinity of the ports is far too complex to be analyzed on a real-time basis with current computer technology. Therefore, a simplifying assumption is made that the diffusers can be treated as a slot jet with a length equal to that of the perforated sections of the pipe. The width of this assumed slot is one of three empirical parameters used to calibrate the model. The second is a relationship used to compute the entrainment of ambient water along the trajectory of the plume and the third is a relationship for the amount of diffuser effluent that is re-entrained into the diffuser plume for sustained low river flow.
The term w d is the velocity of the diffuser discharge, g is the gravitational constant, b 0 is the diffuser slot width,  d is the density of the diffuser discharge, and  o is the density of the ambient river water at the discharge depth.  
The initial development of the numerical model is described in detail by Benton (2003). Based on later studies that provided evidence that re-entrainment occurs (TVA, 2009), the original numerical model was modified to better reflect the local buildup of heat that occurs in the river under such conditions. Before presenting calibration results, it is appropriate first to provide a brief description of the model formulation.
Figure 4. Sequoyah Nuclear Plant Outfall 101 Discharge Diffusers 7


The second entrainment coefficient, based on la boratory data, was originally developed by Benton in 1986 and is given by
In general, the model treats the effluent discharge from the diffusers as a fully mixed, plane buoyant jet with a two-dimensional (vertical and longitudinal) trajectory. This is shown schematically in Figure 5. The jet discharges into a temperature-stratified, uniform-velocity flow and entrains ambient fluid as it evolves along its trajectory. The width, b, of the jet and the dilution of the effluent heat energy increase along the jet trajectory, decreasing the bulk mixed temperature along its path.
y Triver(y)                                      s v v j
uriver(y) = ue                          u b(s)
R


20584254361691310.rmf.tanh.. , (24) where b/urmf river 3, (25) and odo l gQb0. (26) Term uriver is the ambient river veloci ty, as previously defined, Q 0 is the diffuser discharge flowrate, and l is the length of the ported section of the diffuser.  
x Figure 5. Two-Dimensional Plane Buoyant Jet Model for a Submerged Diffuser Consideration of the mass, momentum, and energy for a cross section of the plume orthogonal to the jet trajectory and having a differential thickness ds, yields the following system of ordinary differential equations, d
( j v j b) = me (conservation of mass in jet),                                         (1) ds d
( j v j bu ) = me u e (conservation of x momentum in jet),                             (2) ds d
( j v j bv) = me ve + bg ( e  j ) (conservation of y momentum in jet),             (3) ds d
( j v j bcT j ) = me cTe (conservation of thermal energy in jet),                     (4) ds dx u
      =    , and                                                                               (5) ds v j dy v
      = , (velocity of jet tangent to trajectory).                                             (6) ds v j 8


13 Diffuser Effluent Re-Entrainment Partial re-entrainment of the diffuser plume is known to occur under c onditions of low river flow. When the diffuser plume attempts to entrain an amount of ambient flow greater than what is available from further upstream, the upper portions of the plume tend to migrate upstream and plunge downward to be mixed with the flow in the lower portion of the river. The formulation to simulate this phenomenon was presented earlier (Eqs. 20 and 21). The unknown coefficients to be determined in the calibration process are the number of iterations N and re-entrainment fraction R in Eq. (21), which are functions of the 24-hour average river velocity.
The following auxiliary relationships also are needed to solve the differential equations,
CALIBRATION
[
me =  e (u e  u ) + v 2 2
                                  ]1/ 2
                                        ,                                                            (7) j =  water (T j ),                                                                          (8) e =  water (Te ) ,                                                                          (9)
Te = Triver ( y ) ,                                                                          (10) u e = u river ,                                                                              (11) ve = 0 , and                                                                                  (12)
(
v j = u2 + v2      )1/ 2
                              .                                                                    (13)
In these equations, the subscripts j and e denote conditions within the buoyant jet and conditions within the water upstream of the mixing zone that is entrained by the jet, respectively. Thus, j denotes the density of water at a point inside the jet and e denotes the density of water entrained from upstream of the mixing zone. Te denotes the temperature of the water upstream of the mixing zone that is entrained by the jet. The x-velocity of the entrained water, ue, is the same as the river velocity, uriver, which is negligible in the vertical direction (i.e., ve = 0). The magnitude of the velocity along the jet trajectory is denoted by vj, with x- and y-components u and v, respectively. The individual jets issuing from the array of 2-inch diameter outlet ports of each diffuser are modeled as a plane jet issuing from a slot of width b0. Ideally, the slot width is chosen to preserve the total momentum flux issuing from the circular ports of the diffuser.
However, as indicated earlier, for this formulation, the slot width is used as a term to calibrate the numerical model. The river velocity uriver is computed by a one-dimensional unsteady flow model of Chickamauga Reservoir. Apart from information for the reservoir geometry, the basic input for the flow model includes the measured hydro releases at Watts Bar Dam and Chickamauga Hydro Dam and the measured river water surface elevation at SQN.
The transverse gradients of velocity, temperature, and density that occur within the jet due to turbulent diffusion of the effluent momentum and energy are modeled as an entrainment mass flux, me, induced by the vectorial difference between the velocity of the jet and that of the river flow upstream of the mixing zone. Empirical relationships for the entrainment coefficient  are based on arguments of jet self-similarity and asymptotic behavior. These relationships incorporate non-dimensional parameters, such as a Richardson or densimetric Froude number, that describe the relative strengths of buoyancy and momentum flux in the jet (e.g., see Fischer et al., 1979). Again, as indicated earlier, the entrainment coefficient, like the slot width, is adjusted as part of the calibration process.
9


The numerical model is calibrated to achieve the best match between computed downstream temperatures and field measurements at the downstream end of the mixing zone. Field measurements at the downstream end of the mixing zone are of two types-those including samples from field surveys across the entire widt h of the mixing zone and those from Station 8, which includes samples only at the left-hand corner of the mixing zone (e.g., see Figure 2). Higher priority is given to matching data from field surveys, since such measurements are made across the entire width of the plume mixing zone and are more representative of the average temperature in the thermal plume at the 5-foot compliance depth.
The initial conditions required by the model include, b s = s = b0 0        ,                                                                          (14) x s = s = R cos 0              ,                                                                  (15) y s = s = R sin 0              ,                                                                  (16) q0 u s=s =          cos 0
Previous Calibration Data and Calibration Work
b0            ,                                                              (17) q0 v s=s =          sin 0
b0          , and                                                            (18)
Tj          = T0 s = s0
                      .                                                                        (19)
This system of differential equations, auxiliary equations, and initial conditions comprise a first-order, initial-value problem that can be integrated from the diffuser slot outlet (s = s0) to any point along the plume trajectory. Note in the above that R is the radius of the diffuser conduit, b0 is the effective width of the diffuser slot,  is the exit angle of the diffuser jet, T0 is the temperature of effluent issuing from the slot, and q0 is the effluent discharge per unit length of diffuser. In practice, integration of the governing equations is halted when the jet centerline reaches a point five feet below the water surface (the regulatory compliance depth) or when the upper boundary of the jet reaches the water surface. The jet temperature, Tj, at this point is reported as the fully-mixed temperature to which the thermal regulatory criteria are applied or to which monitoring station data at the edge of the regulatory mixing zone are compared. The integration is done with an adaptive step-size, fourth-order Runge-Kutta algorithm.
In the model, Station 13 (Figure 2), located 1.1 miles upstream of the diffusers, is used to represent the temperature of the water entrained in the mixing zone, Te = Triver ( y ) . Whereas this is a good assumption for river flows where the effluent plume is carried downstream, it weakens for low river flows. Based on the understanding gained in recent studies (TVA, 2009), it is known that partial re-entrainment of the effluent plume occurs at sustained low river flow, increasing the temperature of the water entering the mixing zone above that represented by Station 13. To simulate this phenomenon, the model modifies the Station 13 temperature profile for low river flows. For each point in the profile, a local densimetric Froude number is computed as uriver Fr =                                      ,                                                (20) e  p g              (Ze  Zb )
e 10


Prior to the NPDES permit of March 2011, field surveys were performed in 1981, 1982, 1983, 1987, 1996, 1997, 1999, 2000, 2002, 2003, 2004, 2006, and 2007. In July 1981, TVA conducted the first field survey of the SQN thermal discha rge (TVA, 1982). The results of the field surveys were compared to projections from modeling re lationships developed from mixing theory and a physical model test of the discharge diffusers. Adequate agreement was achieved between measured data and model projections. In cases where there were discrepancies, the model under-predicted the observed dilutions (i.e., over-predicted temperatures).  
where uriver is the average river velocity, Ze-Zb is the elevation of the profile point relative to the bottom elevation of the river, e is the entrainment water density at that elevation, and p is the density of the effluent plume at the 5-foot compliance depth. The densimetric Froude number represents the ratio of momentum forces to buoyancy forces in the river flow. If Fr is less than 1.0 (i.e., buoyancy greater than momentum), it is assumed that the buoyancy of the plume is sufficient to cause part of the plume to travel upstream and become re-entrained into the flow, thereby increasing the temperature of the water entering the mixing zone. The modified entrainment temperature TeN at each point in the Station 13 profile is computed by repeatedly evaluating Ten = R x T p + (1.0  R ) x Ten 1                                                            (21) for values of n from 1 to N, where N is the number of iterations of Eq. (21), R is a re-entrainment fraction, Ten =0 is the original Station 13 temperature, and Tp is the computed plume temperature at the 5-foot depth. N and R are functions of the 24-hour average river velocity. After new Station 13 temperatures have been computed for the entire profile, the mixing zone computation is performed again, using the modified profile to get a new plume temperature at the 5-foot depth. It is emphasized that the final result of the model is the computed temperature at the downstream end of the mixing zone. The instream temperature rise is still computed based on the temperature measurement at the new ambient temperature monitor, Station 14.
Values for N and R are calibrated based on observed temperatures at the downstream end of the diffuser mixing zone for low river flow conditions, as indicated earlier. Depending on the river stage, the modifications by Equation 21 begin to take effect as the 24-hour average river flow drops through the range of 17,000 cfs to 25,000 cfs, and increases as the 24-hour average river flow continues to drop. For river flows above this range, no modification is needed for re-entrainment.
The downstream temperature and instream temperature rise provided by the model are computed every 15 minutes, using instantaneous values of the measured diffuser discharge temperature (Station 12), measured upstream temperature profile (Station 13), measured ambient temperature (Station 14), measured river elevation (Station 13), and computed values of the river velocity (one-dimensional unsteady flow model of Chickamauga Reservoir) and diffuser discharge. The diffuser discharge is computed based on the difference in water elevation between the SQN diffuser pond (Station 12) and the river (Station 13). All computations are performed every 15 minutes to provide rolling hourly and 24-hour average values. The hourly averages are based on the current and previous four 15-minute values, whereas the 24 hour averages are based on current and previous ninety-six 15-minute values. The temperature rate-of-change is determined slightly different, being computed every 15 minutes based on current 24-hour average river conditions and current 15-minute values of the flow and temperature of water discharging from the SQN diffusers. This method was adopted in August 2001 in order to distinguish between rate-of-change events due to changes in SQN operations (i.e. changes in plant discharge flow and/or temperature) and those due to non-SQN changes in operations (e.g., changes in river flow). Prior to this change, SQN was held accountable for temperature rate-of-change events over which it had very little control or influence.
11


Between April 1982 and March 1983, five field surveys containing seventeen sets of samples across the downstream end of the mixing zone were performed to acquire data for validation of the computed compliance technique (TVA, 1983a). The results of these surveys are given in Table 2. Only one SQN unit was operating during the March 1983 test-the other five tests were for operation with two units. The results of the numerical model compared favorably with the field-measured downstream temperatures. On average, the discrepancy between the measured and computed downstream temperatures was about 0.40 F° (0.22 C°). Since the accuracy of the temperature sensors used by TVA are only about +/-0.25 F° (+/-0.14 C°), the agreement between the field measurements and the computer model was considered good. A similar comparison
Plume Entrainment Two empirical relationships for the plume entrainment coefficient are available in the numerical model. The first, developed by McIntosh, was inferred from a relationship for the entrainment coefficient determined from the data reported in 1983 (TVA, 1983a) and is given by 0.27 for F < 0.75 d
0.27
    =          for 0.75  Fd  1.00 ,                                                          (22) 2.5 Fd


between the Station 8 and Station 11 temperatures and the measured average temperatures across the downstream edge of the mixing zone revealed that the discrepancy for Station 8 was about 0.79 F&deg; (0.44 C&deg;) and for Station 11 about 0.65 F&deg; (0.36 C&deg;). Consequently, it was concluded 14 that the numerical model is not only an accurate representation of the downstream temperature but also is likely superior to the monitoring approach using Station 8 and Station 11.  
0.55 for Fd > 1.00 where Fd is the densimetric Froude number of the diffuser discharge defined by wd Fd =                        .                                                                (23)
( d  o )
gbo o
The term wd is the velocity of the diffuser discharge, g is the gravitational constant, b0 is the diffuser slot width, d is the density of the diffuser discharge, and o is the density of the ambient river water at the discharge depth.
The second entrainment coefficient, based on laboratory data, was originally developed by Benton in 1986 and is given by 1 + tanh(6.543  rmf  2.0584)
    = 0.31 + 1.69                                  ,                                        (24) 2 where rmf = u river 3
                  /b,                                                                            (25) and g    d b = Q0  o            .                                                                 (26) l  o Term uriver is the ambient river velocity, as previously defined, Q0 is the diffuser discharge flowrate, and l is the length of the ported section of the diffuser.
12


In September 1987, TVA released a report desc ribing the field surveys in support of the validation and calibration of the SQN numerical model that had been performed up to that date (TVA, 1987). In the report, a ch art was introduced that described the ambient and operational conditions for which field surveys had been performed. This chart indicated combinations of river flow, season, and number of operating units, showing what tests had been performed, and assigning relative priorities for tests to be performed in the future. With this guidance, six more field surveys were performed between March 1996 and April 2003, to measure downstream temperatures for various river flows and at different times of year. The results of these surveys produced ten sets of samples across the downstream end of the mixing zone, as given in Table 3.  
Diffuser Effluent Re-Entrainment Partial re-entrainment of the diffuser plume is known to occur under conditions of low river flow. When the diffuser plume attempts to entrain an amount of ambient flow greater than what is available from further upstream, the upper portions of the plume tend to migrate upstream and plunge downward to be mixed with the flow in the lower portion of the river. The formulation to simulate this phenomenon was presented earlier (Eqs. 20 and 21). The unknown coefficients to be determined in the calibration process are the number of iterations N and re-entrainment fraction R in Eq. (21), which are functions of the 24-hour average river velocity.
CALIBRATION The numerical model is calibrated to achieve the best match between computed downstream temperatures and field measurements at the downstream end of the mixing zone. Field measurements at the downstream end of the mixing zone are of two typesthose including samples from field surveys across the entire width of the mixing zone and those from Station 8, which includes samples only at the left-hand corner of the mixing zone (e.g., see Figure 2).
Higher priority is given to matching data from field surveys, since such measurements are made across the entire width of the plume mixing zone and are more representative of the average temperature in the thermal plume at the 5-foot compliance depth.
Previous Calibration Data and Calibration Work Prior to the NPDES permit of March 2011, field surveys were performed in 1981, 1982, 1983, 1987, 1996, 1997, 1999, 2000, 2002, 2003, 2004, 2006, and 2007. In July 1981, TVA conducted the first field survey of the SQN thermal discharge (TVA, 1982). The results of the field surveys were compared to projections from modeling relationships developed from mixing theory and a physical model test of the discharge diffusers. Adequate agreement was achieved between measured data and model projections. In cases where there were discrepancies, the model under-predicted the observed dilutions (i.e., over-predicted temperatures).
Between April 1982 and March 1983, five field surveys containing seventeen sets of samples across the downstream end of the mixing zone were performed to acquire data for validation of the computed compliance technique (TVA, 1983a). The results of these surveys are given in Table 2. Only one SQN unit was operating during the March 1983 testthe other five tests were for operation with two units. The results of the numerical model compared favorably with the field-measured downstream temperatures. On average, the discrepancy between the measured and computed downstream temperatures was about 0.40 F&deg; (0.22 C&deg;). Since the accuracy of the temperature sensors used by TVA are only about +/-0.25 F&deg; (+/-0.14 C&deg;), the agreement between the field measurements and the computer model was considered good. A similar comparison between the Station 8 and Station 11 temperatures and the measured average temperatures across the downstream edge of the mixing zone revealed that the discrepancy for Station 8 was about 0.79 F&deg; (0.44 C&deg;) and for Station 11 about 0.65 F&deg; (0.36 C&deg;). Consequently, it was concluded 13


Between 2004 and 2007 a number of additional field surveys were performed, providing twenty-three more sets of samples containing temperature measurements across the downstream end of the diffuser mixing for various river flows and at different times of the year. The results of these surveys are given in Table 4.  
that the numerical model is not only an accurate representation of the downstream temperature but also is likely superior to the monitoring approach using Station 8 and Station 11.
In September 1987, TVA released a report describing the field surveys in support of the validation and calibration of the SQN numerical model that had been performed up to that date (TVA, 1987). In the report, a chart was introduced that described the ambient and operational conditions for which field surveys had been performed. This chart indicated combinations of river flow, season, and number of operating units, showing what tests had been performed, and assigning relative priorities for tests to be performed in the future. With this guidance, six more field surveys were performed between March 1996 and April 2003, to measure downstream temperatures for various river flows and at different times of year. The results of these surveys produced ten sets of samples across the downstream end of the mixing zone, as given in Table 3.
Between 2004 and 2007 a number of additional field surveys were performed, providing twenty-three more sets of samples containing temperature measurements across the downstream end of the diffuser mixing for various river flows and at different times of the year. The results of these surveys are given in Table 4.
Table 2. Thermal Surveys at SQN from April 1982 through March 1983 River        Temperatures (5-foot depth)
Approx                          Tu        Td          T Date                  Flow      Stage Time                        Measured Measured Measured (cfs)  (ft MSL)
(&deg;F)      (&deg;F)        (&deg;F) 04/04/1982  0900 CST    19900    676.46  56.8        61.9          5.1 04/04/1982  1000 CST    19800    676.46  56.7        60.1          3.4 04/04/1982  1100 CST    19600    676.47  56.7        61.2          4.5 04/04/1982  1200 CST    19700    676.50  57.2        61.9          4.7 04/04/1982  1300 CST    19700    676.45  57.4        62.2          4.8 05/14/1982  0900 CDT    7200    682.43  74.5        71.8        -2.7 05/14/1982  1100 CDT    9100    682.40  73.4        71.8        -1.6 05/14/1982  1300 CDT    6300    682.42  72.1        73.6          1.5 09/02/1982  1400 CDT    38500    680.30  78.1        80.1          2.0 11/10/1982  1300 CST    36200    677.57  59.0        60.1          1.1 11/10/1982  1400 CST    31600    677.59  59.0        60.6          1.6 11/10/1982  1500 CST    32300    677.58  59.0        60.4          1.4 03/31/1983  1100 CST    9800    676.34  51.4        54.3          2.9 03/31/1983  1200 CST    9400    676.34  50.4        54.7          4.3 03/31/1983  1300 CST    9300    676.34  52.5        54.5          2.0 03/31/1983  1400 CST    9500    676.34  51.4        54.9          3.5 03/31/1983  1500 CST    9400    676.36  51.4        54.9          3.5 14


Table 2. Thermal Surveys at SQN from April 1982 through March 1983 Date Approx Time River Temperatures (5-foot depth)
Table 3. Thermal Surveys at SQN from March 1996 through April 2003 River                   Temperatures (5-foot depth)
Flow (cfs) Stage (ft MSL)T u T d T Measured ( F) Measured ( F) Measured ( F) 04/04/1982 0900 CST 19900 676.46 56.8 61.9 5.1 04/04/1982 1000 CST 19800 676.46 56.7 60.1 3.4 04/04/1982 1100 CST 19600 676.47 56.7 61.2 4.5 04/04/1982 1200 CST 19700 676.50 57.2 61.9 4.7 04/04/1982 1300 CST 19700 676.45 57.4 62.2 4.8 05/14/1982 0900 CDT 7200 682.43 74.5 71.8 -2.7 05/14/1982 1100 CDT 9100 682.40 73.4 71.8 -1.6 05/14/1982 1300 CDT 6300 682.42 72.1 73.6 1.5 09/02/1982 1400 CDT 38500 680.30 78.1 80.1 2.0 11/10/1982 1300 CST 36200 677.57 59.0 60.1 1.1 11/10/1982 1400 CST 31600 677.59 59.0 60.6 1.6 11/10/1982 1500 CST 32300 677.58 59.0 60.4 1.4 03/31/1983 1100 CST 9800 676.34 51.4 54.3 2.9 03/31/1983 1200 CST 9400 676.34 50.4 54.7 4.3 03/31/1983 1300 CST 9300 676.34 52.5 54.5 2.0 03/31/1983 1400 CST 9500 676.34 51.4 54.9 3.5 03/31/1983 1500 CST 9400 676.36 51.4 54.9 3.5
Approx                                    Tu              Td                T Date                          Flow         Stage Time                                Measured        Measured          Measured (cfs)   (ft MSL)
 
(&deg;F)             (&deg;F)             (&deg;F) 03/01/1996       1100 CST       42456       676.96       45.9             48.8               2.9 03/01/1996       1445 CST       28136       677.04       46.2             50.2               4.0 03/01/1996       1600 CST       21962       677.00       46.1             51.4               5.3 03/01/1996       1700 CST       20280       677.00       46.0             51.5               5.5 07/24/1997       1550 CDT       40441       682.57       83.5             84.7               1.2 03/24/1999*       1250 CST       35731       677.46       51.9             54.5               2.7 08/02/2000       1000 CDT       12472       682.20       82.1             85.1               3.0 08/02/2000       1100 CDT         8624       682.20       82.1             85.3               3.1 07/27/2002       1250 CDT       17231       682.37       84.0             86.6               2.6 04/23/2003       1445 CDT       34178       682.53       63.7             64.2               0.5
15 Table 3. Thermal Surveys at SQN from March 1996 through April 2003 Date Approx Time River Temperatures (5-foot depth)
Flow (cfs) Stage (ft MSL) T u T d T Measured ( F) Measured ( F) Measured ( F) 03/01/1996 1100 CST 42456 676.96 45.9 48.8 2.9 03/01/1996 1445 CST 28136 677.04 46.2 50.2 4.0 03/01/1996 1600 CST 21962 677.00 46.1 51.4 5.3 03/01/1996 1700 CST 20280 677.00 46.0 51.5 5.5 07/24/1997 1550 CDT 40441 682.57 83.5 84.7 1.2 03/24/1999* 1250 CST 35731 677.46 51.9 54.5 2.7 08/02/2000 1000 CDT 12472 682.20 82.1 85.1 3.0 08/02/2000 1100 CDT 8624 682.20 82.1 85.3 3.1 07/27/2002 1250 CDT 17231 682.37 84.0 86.6 2.6 04/23/2003 1445 CDT 34178 682.53 63.7 64.2 0.5
* The survey of 03/24/1999 is lacking valid upstream temperature data and was not used in the calibration.
* The survey of 03/24/1999 is lacking valid upstream temperature data and was not used in the calibration.
Table 4. Thermal Surveys at SQN from February 2004 through November 2007 Date Approx Time River Temperatures (5-foot depth)
Table 4. Thermal Surveys at SQN from February 2004 through November 2007 River                       Temperatures (5-foot depth)
Flow (cfs) Stage (ft MSL) T u T d T Measured ( F) Measured ( F) Measured ( F) 02/14/2004 0600 CST 51133 677.50 43.7 46.3 2.6 02/22/2004 1800 CST 18468 678.40 45.8 50.5 4.7 08/22/2004 1800 CST 12340 682.00 79.8 84.1 4.3 08/23/2004 1800 CST 39238 682.20 79.8 82.4 2.6 04/01/2006 1915 CST 7084 677.20 59.7 63.5 3.8 04/04/2006 0015 CST 7996 677.70 59.3 63.9 4.6 04/04/2006 1105 CST 8251 677.80 59.6 61.3 1.7 04/04/2006 2030 CST 8258 678.00 59.0 63.2 4.2 04/05/2006 0915 CST 7917 678.20 59.2 62.8 3.6 04/05/2006 2215 CST 8277 678.40 60.4 64.2 3.8 04/06/2006 0915 CST 8174 678.50 59.7 63.3 3.6 04/06/2006 2315 CST 8077 678.70 61.0 64.5 3.5 04/07/2006 0840 CST 8162 678.80 59.9 63.9 4.0 04/07/2006 1435 CST 7889 678.80 60.0 64.7 4.7 05/22/2006 1445 CST 14511 682.00 73.4 72.9 -0.5 05/23/2006 1455 CST 17878 682.20 73.5 73.9 0.4 05/28/2006 1440 CST 13396 682.30 76.6 76.7 0.1 05/29/2006 1435 CST 13713 682.40 77.5 77.6 0.1 05/30/2006 1425 CST 14304 682.40 79.7 79.2 -0.5 09/20/2007 1200 CST 8545 681.80 79.3 83.4 4.1 09/21/2007 1300 CST 8629 681.70 80.6 82.5 1.9 09/22/2007 0600 CST 6969 681.70 79.5 81.8 2.3 11/04/2007 1200 CST 7664 678.70 64.9 69.5 4.6  
Approx                                            Tu              Td                T Date                              Flow           Stage Time                                        Measured        Measured          Measured (cfs)       (ft MSL)
(&deg;F)             (&deg;F)             (&deg;F) 02/14/2004         0600 CST         51133         677.50           43.7             46.3               2.6 02/22/2004         1800 CST         18468         678.40           45.8             50.5               4.7 08/22/2004         1800 CST         12340         682.00           79.8             84.1               4.3 08/23/2004         1800 CST         39238         682.20           79.8             82.4               2.6 04/01/2006         1915 CST         7084         677.20           59.7             63.5               3.8 04/04/2006         0015 CST         7996         677.70           59.3             63.9               4.6 04/04/2006         1105 CST         8251         677.80           59.6             61.3               1.7 04/04/2006         2030 CST         8258         678.00           59.0             63.2               4.2 04/05/2006         0915 CST         7917         678.20           59.2             62.8               3.6 04/05/2006         2215 CST         8277         678.40           60.4             64.2               3.8 04/06/2006         0915 CST         8174         678.50           59.7             63.3               3.6 04/06/2006         2315 CST         8077         678.70           61.0             64.5               3.5 04/07/2006         0840 CST         8162         678.80           59.9             63.9               4.0 04/07/2006         1435 CST         7889         678.80           60.0             64.7               4.7 05/22/2006         1445 CST         14511         682.00           73.4             72.9             -0.5 05/23/2006         1455 CST         17878         682.20           73.5             73.9               0.4 05/28/2006         1440 CST         13396         682.30           76.6             76.7               0.1 05/29/2006         1435 CST         13713         682.40           77.5             77.6               0.1 05/30/2006         1425 CST         14304         682.40           79.7             79.2             -0.5 09/20/2007         1200 CST         8545         681.80           79.3             83.4               4.1 09/21/2007         1300 CST         8629         681.70           80.6             82.5               1.9 09/22/2007         0600 CST         6969         681.70           79.5             81.8               2.3 11/04/2007         1200 CST         7664         678.70           64.9             69.5               4.6 15


16 The most recent calibration of the numerical model was performed in 2009 to support the NPDES permit of September 2005 (TVA, 2009). The data from Table 2, Table 3, and Table 4 were used in this calibration. The average overall discrepancy between the measured and computed downstream temperatures was about 0.55 F&#xba; (0.31 C&#xba;). For downstream temperatures above 75&#xba;F, the average discrepancy improved to about 0.38 F&#xba; (0.21 C&#xba;).
The most recent calibration of the numerical model was performed in 2009 to support the NPDES permit of September 2005 (TVA, 2009). The data from Table 2, Table 3, and Table 4 were used in this calibration. The average overall discrepancy between the measured and computed downstream temperatures was about 0.55 F&#xba; (0.31 C&#xba;). For downstream temperatures above 75&#xba;F, the average discrepancy improved to about 0.38 F&#xba; (0.21 C&#xba;).
New Calibration Data and Calibration Work Since the 2009 model calibration, an additional field study was performed in November 2012 (Table 5). The study included the operation of one unit at SQN and was conducted concurrently with independent measurements for the discharge through the diffusers (TVA, 2013). With this, altogether fifty data points with sets of temperature samples across the downstream end of the mixing zone were available for updating the model calibration (i.e., Table 2 through Table 5).
New Calibration Data and Calibration Work Since the 2009 model calibration, an additional field study was performed in November 2012 (Table 5). The study included the operation of one unit at SQN and was conducted concurrently with independent measurements for the discharge through the diffusers (TVA, 2013). With this, altogether fifty data points with sets of temperature samples across the downstream end of the mixing zone were available for updating the model calibration (i.e., Table 2 through Table 5).
Table 5. Thermal Surveys at SQN from November 2012 Date Approx Time River Temperatures (5-foot depth)
Table 5. Thermal Surveys at SQN from November 2012 River                     Temperatures (5-foot depth)
Flow (cfs) Stage (ft MSL) T u T d T Measured ( F) Measured ( F) Measured ( F) 11/16/2012 1400 CST 12599 678.62 57.0 60.3 3.3 Diffuser Slot Width The effective slot width for a multiport diffuser of the type at SQN can be assumed to fall somewhere between the width of a rectangle with length equal to that of the diffuser section and area equal to the total area of the ports; and the width a rectangle with length equal to that of the diffuser section and area equal to the arc length of the perforated section of the diffuser. For the SQN diffuser, this slot width woul d be between 0.37 feet and 2.67 f eet. Multiple slot widths in this range were evaluated and compared with fifty measured data points from the field surveys (i.e., from Table 2 through Table 5). The results, gi ven in Figure 6, show that larger slot widths yielded better agreement with the measured data. The nominal arc lengt h of the perforated section of the diffuser (i.e., 2.67 feet) was selected as the best diffuser slot width to be used in the numerical model. This is the same value used in the 2009 model calibration.
Approx                                      Tu              Td                T Date                          Flow         Stage Time                                    Measured        Measured        Measured (cfs)     (ft MSL)
Plume Entrainment Coefficient Figure 7 shows the comparison with measured data of downstream temperatures computed with the McIntosh (Eq. 22) and Benton (Eq. 24) entrainment coefficients, again based on fifty data points from the field surveys in Table 2 through Table 5. Both entrainment coefficients result in relatively close matches with th e measured data. Although the McIntosh coefficient seems to perform better at low ambient river temperatures, temperatures computed using the Benton coefficient more closely match measured downstream temperatures at higher river temperatures.
(&deg;F)           (&deg;F)             (&deg;F) 11/16/2012       1400 CST         12599       678.62         57.0           60.3               3.3 Diffuser Slot Width The effective slot width for a multiport diffuser of the type at SQN can be assumed to fall somewhere between the width of a rectangle with length equal to that of the diffuser section and area equal to the total area of the ports; and the width a rectangle with length equal to that of the diffuser section and area equal to the arc length of the perforated section of the diffuser. For the SQN diffuser, this slot width would be between 0.37 feet and 2.67 feet. Multiple slot widths in this range were evaluated and compared with fifty measured data points from the field surveys (i.e., from Table 2 through Table 5). The results, given in Figure 6, show that larger slot widths yielded better agreement with the measured data. The nominal arc length of the perforated section of the diffuser (i.e., 2.67 feet) was selected as the best diffuser slot width to be used in the numerical model. This is the same value used in the 2009 model calibration.
17 Since the accuracy of the computation is more critical at temperatures approaching the NPDES limit for downstream temperature, the Benton coefficient, Eq. (24) is used in the compliance
Plume Entrainment Coefficient Figure 7 shows the comparison with measured data of downstream temperatures computed with the McIntosh (Eq. 22) and Benton (Eq. 24) entrainment coefficients, again based on fifty data points from the field surveys in Table 2 through Table 5. Both entrainment coefficients result in relatively close matches with the measured data. Although the McIntosh coefficient seems to perform better at low ambient river temperatures, temperatures computed using the Benton coefficient more closely match measured downstream temperatures at higher river temperatures.
16


model.
Since the accuracy of the computation is more critical at temperatures approaching the NPDES limit for downstream temperature, the Benton coefficient, Eq. (24) is used in the compliance model.
Figure 6. Sensitivity of Computed Temperature T d to Diffuser Effective Slot Width 45 50 55 60 65 70 75 80 85 9045505560657075808590 Computed (o F)Measured (o F)Field Data -1982 -2012 Line of perfect agreementB0 = 0.37 ft B0 =1.137 ftB0 = 1.903 ftB0 = 2.67 ftB0 = 3.437 ft 18  Figure 7. Sensitivity of Computed Temperature T d to Plume Entrainment Coefficient Diffuser Effluent Re-Entrainment Based on the evaluation of numerous combinations of N and R for diffuser effluent re-entrainment (Eq. 20 and 21), Table 6 gives the values that resulted in computed downstream temperatures that most closely matched measurements in the field surveys (i.e., fifty data points from Table 2 through Table 5). For river velocities between the values give n in Table 6, the re-entrainment factor R is interpolated between the table values. The number of iterations N is interpolated and then rounded to the nearest integer. No re-entrainment correction is performed for 24-hour river velocities greater than the highes t value in the table.
Field Data - 1982 - 2012 90 Line of perfect agreement 85        B0 = 0.37 ft B0 =1.137 ft B0 = 1.903 ft 80 B0 = 2.67 ft B0 = 3.437 ft 75 Computed (oF) 70 65 60 55 50 45 45      50          55          60        65        70      75  80    85        90 Measured  (oF)
Figure 6. Sensitivity of Computed Temperature Td to Diffuser Effective Slot Width 17


Figure 8 shows the comparison of measured and computed downstream temperatures with and without the correction for plume re-entrainment as given in Table 6. Temperatures computed using the plume re-entrainment correction more closely matched measured values for twenty-seven of the fifty data points. Temperatures computed without using the plume re-entrainment correction more closely matched measured valu es for six data points , with no significant differences for the remaining data points. Based upon these results the re-entrainment correction method is used.
Field Data - 1982-2012 90 Line of perfect agreement 85          Benton Entrainment Coefficient McIntosh Entrainment Coefficient 80 75 Computed (oF) 70 65 60 55 50 45 45      50        55            60    65          70    75  80    85        90 Measured  (oF)
45 50 55 60 65 70 75 80 85 9045505560657075808590 Computed (o F)Measured (o F)Field Data -1982-2012Line of perfect agreementBenton Entrainment Coefficient McIntosh Entrainment Coefficient 19 Table 6. Plume Re-Entrainment Iteration Numbers and Factors River Velocity (ft/sec) Number of Iterations N Re-entrainment Factor R 0.000 3 0.21930 0.050 3 0.13300 0.075 3 0.11000 0.100 3 0.10000 0.200 3 0.02670 0.300 3 0.03507 0.400 3 0.00893 0.500 3 0.00447 0.600 0 0.00000 Figure 8. Sensitivity of Computed Temperature T d to Effluent Re-Entrainment Function 45 50 55 60 65 70 75 80 85 9045505560657075808590 Computed (o F)Measured (o F)Field Data -1982-2012Line of perfect agreementUsing Plume ReentrainmentNot Using Plume Reentrainment 20 Results of Updated Calibration For the assumed diffuser slot width and entrainment coefficient, and updated calibration including the re-entrainment function for low river flow, the computed and measured downstream temperatures for the fifty downstream temperature data points collected in SQN field surveys since March 1982 are shown in Figur e 9. The average discrepancy between the measured and computed downstream temperatures was about 0.55 F&#xba; (0.31 C&#xba;). For downstream temperatures above 75&#xba;F, the average discrepancy was 0.38 F&#xba; (0.21 C&#xba;). There was no significant change in the model performance compared to the previous calibration.
Figure 7. Sensitivity of Computed Temperature Td to Plume Entrainment Coefficient Diffuser Effluent Re-Entrainment Based on the evaluation of numerous combinations of N and R for diffuser effluent re-entrainment (Eq. 20 and 21), Table 6 gives the values that resulted in computed downstream temperatures that most closely matched measurements in the field surveys (i.e., fifty data points from Table 2 through Table 5). For river velocities between the values given in Table 6, the re-entrainment factor R is interpolated between the table values. The number of iterations N is interpolated and then rounded to the nearest integer. No re-entrainment correction is performed for 24-hour river velocities greater than the highest value in the table.
Figure 8 shows the comparison of measured and computed downstream temperatures with and without the correction for plume re-entrainment as given in Table 6. Temperatures computed using the plume re-entrainment correction more closely matched measured values for twenty-seven of the fifty data points. Temperatures computed without using the plume re-entrainment correction more closely matched measured values for six data points, with no significant differences for the remaining data points. Based upon these results the re-entrainment correction method is used.
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To be consistent with the 24-hour averaging specified in the current NPDES permit, the 24-hour average temperatures measured in 2010 at the downstream temper ature monitor, Station 8, are compared to those computed by numerical model in Figure 10. 2010 was selected because it represents a new climatic extreme in East Tennessee for the period of record for this model. As before, the measured temperatures correspond to th e average of sens or readings at the 3-foot, 5-foot, and 7-foot depths. The overall average discrepancy between the measured and computed 24-hour average downstream temperatures was about 0.71 F&#xba; (0.39 C&#xba;), and about 0.63 F&#xba; (0.35 C&#xba;) for downstream temperatures above 75&#xba;F.
Table 6. Plume Re-Entrainment Iteration Numbers and Factors River Velocity Number of Iterations Re-entrainment Factor (ft/sec)            N                      R 0.000              3                  0.21930 0.050              3                  0.13300 0.075              3                  0.11000 0.100              3                  0.10000 0.200              3                  0.02670 0.300              3                  0.03507 0.400              3                   0.00893 0.500              3                  0.00447 0.600              0                  0.00000 Field Data - 1982-2012 90 Line of perfect agreement 85 Using Plume Reentrainment 80        Not Using Plume Reentrainment 75 Computed (oF) 70 65 60 55 50 45 45  50        55          60        65        70    75   80      85      90 Measured (oF)
Figure 8. Sensitivity of Computed Temperature Td to Effluent Re-Entrainment Function 19


Measured downstream hourly average temperatures for the same time period are compared to those computed by numerical model in Figure 11.
Results of Updated Calibration For the assumed diffuser slot width and entrainment coefficient, and updated calibration including the re-entrainment function for low river flow, the computed and measured downstream temperatures for the fifty downstream temperature data points collected in SQN field surveys since March 1982 are shown in Figure 9. The average discrepancy between the measured and computed downstream temperatures was about 0.55 F&#xba; (0.31 C&#xba;). For downstream temperatures above 75&#xba;F, the average discrepancy was 0.38 F&#xba; (0.21 C&#xba;). There was no significant change in the model performance compared to the previous calibration.
As expected, the temperature data are much more scattered for the hourly temperatures. Th e average discrepancy between the measured and computed hourly average downstream temperatures was 0.86 F&#xba; (0.48 C&#xba;)
To be consistent with the 24-hour averaging specified in the current NPDES permit, the 24-hour average temperatures measured in 2010 at the downstream temperature monitor, Station 8, are compared to those computed by numerical model in Figure 10. 2010 was selected because it represents a new climatic extreme in East Tennessee for the period of record for this model. As before, the measured temperatures correspond to the average of sensor readings at the 3-foot, 5-foot, and 7-foot depths. The overall average discrepancy between the measured and computed 24-hour average downstream temperatures was about 0.71 F&#xba; (0.39 C&#xba;), and about 0.63 F&#xba; (0.35 C&#xba;) for downstream temperatures above 75&#xba;F.
for the full range of river temperatures, decreasing to 0.71 F&#xba; (0.39 C&#xba;)
Measured downstream hourly average temperatures for the same time period are compared to those computed by numerical model in Figure 11. As expected, the temperature data are much more scattered for the hourly temperatures. The average discrepancy between the measured and computed hourly average downstream temperatures was 0.86 F&#xba; (0.48 C&#xba;) for the full range of river temperatures, decreasing to 0.71 F&#xba; (0.39 C&#xba;) for downstream temperatures above 75&#xba;F.
for downstream temperatures above 75&#xba;F.  
It needs to be emphasized that in Figure 10 and Figure 11, the data from Station 8 is not necessarily representative of the average temperature across the downstream end of the mixing zone. However, in monitoring the NPDES compliance for Outfall 101, data from Station 8 is considered valuable for verifying basic trends in the downstream temperature as determined by the numerical model, thus providing the motivation for presenting the comparisons given in these figures.
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It needs to be emphasized that in Figure 10 and Figure 11, the data from Station 8 is not necessarily representative of the average temperature across the downstream end of the mixing zone. However, in monitoring the NPDES compliance for Outfall 101, da ta from Station 8 is considered valuable for verifying basic trends in the downstream temperature as determined by the numerical model, thus providing the motivati on for presenting the comparisons given in these figures.
90 Line of perfect agreement 85 Field Data 1982 - 2012 80 75 Computed (oF) 70 65 60 55 50 45 45    50            55        60        65        70          75          80          85        90 Measured  (oF)
21  Figure 9. Comparison of Computed and Measured Temperatures T d for Field Studies from April 1982 through November 2012 Figure 10. Comparison of Co mputed and Measured 24-hour Average Temperatures T d for Station 8 for 2010 45 50 55 60 65 70 75 80 85 9045505560657075808590 Computed (o F)Measured (o F)Line of perfect agreementField  Data 1982 -2012 40 45 50 55 60 65 70 75 80 85 904045505560657075808590 Computed (o F)Measured(o F)Line of perfect agreement Measured 2010Erroneous data due to faulty sensor--values removed from discrepancy calculations 22  Figure 11. Comparison of Co mputed and Measured Hourly Average Temperatures T d for Station 8 for 2010 40 45 50 55 60 65 70 75 80 85 904045505560657075808590 Computed (o F)Measured (o F)Line of perfect agreement Measured 2010Erroneous data due to faulty sensor--values removed from discre p anc y calculations
Figure 9. Comparison of Computed and Measured Temperatures Td for Field Studies from April 1982 through November 2012 90 85                    Line of perfect agreement 80                    Measured 2010 75 70 Computed (oF) 65 60 Erroneous data due to faulty 55                                                                              sensor--values removed from discrepancy calculations 50 45 40 40       45         50       55       60         65         70       75           80     85       90 Measured (oF)
Figure 10. Comparison of Computed and Measured 24-hour Average Temperatures Td for Station 8 for 2010 21


23 CONCLUSIONS The numerical model for the SQN effluent discharge computes the temperature at the downstream end of the mixing zone with sufficient accuracy for use as the primary method of verifying thermal compliance fo r Outfall 101. In the updated calibration study summarized herein, which used the results from fifty sets of temperature samples across the downstream end of the diffuser mixing zone, the average discrepancy between the measured and computed downstream temperatures was about 0.55 F&#xba; (0.31 C&#xba;). For downstream temperatures above 75&#xba;F, the average discrepancy improved to about 0.38 F&#xba; (0.21 C&#xba;). There was no significant change in the model performance compared to the previous calibr ation, and as a result, no update was required in the model parameter set.
90 85 Line of perfect agreement 80 Measured 2010 75 70 Computed (oF) 65 60 Erroneous data due to faulty 55                                                                    sensor--values removed from discrepancy calculations 50 45 40 40  45        50        55         60        65          70    75         80          85    90 Measured  (oF)
24 REFERENCES Benton, D.J. (2003), "Development of a Two-Dimensional Plume Model," Dynamic Solutions, LLC, Knoxville, Tennessee, May 2003.
Figure 11. Comparison of Computed and Measured Hourly Average Temperatures Td for Station 8 for 2010 22


CONCLUSIONS The numerical model for the SQN effluent discharge computes the temperature at the downstream end of the mixing zone with sufficient accuracy for use as the primary method of verifying thermal compliance for Outfall 101. In the updated calibration study summarized herein, which used the results from fifty sets of temperature samples across the downstream end of the diffuser mixing zone, the average discrepancy between the measured and computed downstream temperatures was about 0.55 F&#xba; (0.31 C&#xba;). For downstream temperatures above 75&#xba;F, the average discrepancy improved to about 0.38 F&#xba; (0.21 C&#xba;). There was no significant change in the model performance compared to the previous calibration, and as a result, no update was required in the model parameter set.
23
REFERENCES Benton, D.J. (2003), Development of a Two-Dimensional Plume Model, Dynamic Solutions, LLC, Knoxville, Tennessee, May 2003.
Fischer, H. B., E. J. List, R. C. Y. Yoh, J. Imberger, and N. H. Brooks (1979), Mixing in Inland and Coastal Waters, Academic Press: New York, 1979.
Fischer, H. B., E. J. List, R. C. Y. Yoh, J. Imberger, and N. H. Brooks (1979), Mixing in Inland and Coastal Waters, Academic Press: New York, 1979.
TDEC (2005), "NPDES Permit No. TN0026450, Authorization to discharge under the National Pollutant Discharge Elimination System (NPDES)", Tennessee Department of Environment and Conservation, Division of Water Pollu tion Control, Nashville, Tennessee 37243-1534, July 29, 2005.  
TDEC (2005), NPDES Permit No. TN0026450, Authorization to discharge under the National Pollutant Discharge Elimination System (NPDES), Tennessee Department of Environment and Conservation, Division of Water Pollution Control, Nashville, Tennessee 37243-1534, July 29, 2005.
 
TDEC (2011), NPDES Permit No. TN0026450, Authorization to discharge under the National Pollutant Discharge Elimination System (NPDES), Tennessee Department of Environment and Conservation, Division of Water Pollution Control, Nashville, Tennessee 37243-1534, January 31, 2011.
TDEC (2011), "NPDES Permit No. TN0026450, Authorization to discharge under the National Pollutant Discharge Elimination System (NPDES)", Tennessee Department of Environment and Conservation, Division of Water Pollut ion Control, Nashville, Tennessee 37243-1534, January 31, 2011.  
TVA (1982), McIntosh, D.A., B.E. Johnson, and E.B. Speaks, A Field Verification of Sequoyah Nuclear Plant Diffuser Performance Model One-Unit Operation, TVA Division of Air and Water Resources, Water Systems Development Branch, Report No.
 
WR28-1-45-110, October 1982.
TVA (1982), McIntosh, D.A., B.E. Johnson, and E.B. Speaks, "A Field Verification of Sequoyah Nuclear Plant Diffuser Performa nce Model One-Unit Operation," TVA Division of Air and Water Resources, Water Systems Development Branch, Report No.
TVA (1983a), McIntosh, D.A., B.E. Johnson, and E.B. Speaks, Validation of Computerized Thermal Compliance and Plume Development at Sequoyah Nuclear Plant, Tennessee Valley Authority, Division of Air and Water Resources, Water Systems Development Branch Report No. WR28-l-45-115, August 1983.
WR28-1-45-110, October 1982.  
TVA (1983b), Waldrop, W.R., and D.A. McIntosh, Real-Time Computation of Compliance with Thermal Water Quality Standards, Proceedings of Microcomputers in Civil Engineering, University of Central Florida, Orlando, Florida, November 1983.
 
TVA (1987), Ostrowski, P., and M.C. Shiao, Quality Program for Verification of Sequoyah Nuclear Plant Thermal Computed Compliance System, Tennessee Valley Authority, Office of Natural Resources and Economic Development, Division of Air and Water Resources Report No. WR28-3-45-134, September 1987.
TVA (1983a), McIntosh, D.A., B.E. Johns on, and E.B. Speaks, "Validation of Computerized Thermal Compliance and Plume Development at Sequoyah Nuclear Plant," Tennessee Valley Authority, Division of Air and Water Resources, Water Systems Development Branch Report No. WR28-l-45-115, August 1983.  
TVA (2003), Harper, W.L., Study to Confirm the Calibration of the Numerical Model for the Thermal Discharge from Sequoyah Nuclear Plant as Required by NPDES Permit No. TN0026450 of August 2001, Report No. WR2003-1-45-149, Tennessee Valley Authority, River Operations, June 2003.
 
24
TVA (1983b), Waldrop, W.R., and D.A. McIntosh, Real-Time Computation of Compliance with Thermal Water Quality Standards, Proceedings of Microcomputers in Civil Engineering, University of Central Florida, Orlando, Flor ida, November 1983.  
 
TVA (1987), Ostrowski, P., and M.C. Shiao, "Quality Program for Verification of Sequoyah Nuclear Plant Thermal Computed Compliance System," Tennessee Valley Authority, Office of Natural Resources and Economic Developm ent, Division of Air and Water Resources Report No. WR28-3-45-134, September 1987.  
 
TVA (2003), Harper, W.L., "Study to Confirm the Calibration of the Numerical Model for the Thermal Discharge from Sequoyah Nuclear Plant as Required by NPDES Permit No. TN0026450 of August 2001, Report No. WR2003-1-45-149, Tennessee Valley Authority, River Operations, June 2003.  
 
25 TVA (2009), Harper, W.L. and P.N. Hopping, "Study to Confirm the Calibration of the Numerical Model for the Thermal Discharge from Sequoyah Nuclear Plant as Required by NPDES Permit No. TN0026450 of September 2005, Report No. WR2009-1-45-150, Tennessee Valley Authority, Rive r Operations, January 2009.
TVA (2009), "Ambient Temperature and Mixing Zone Studies for Sequoyah Nuclear Plant as Required by NPDES Permit No. TN0026450 of September 2005," Report No.
 
WR2009-1-45-151, Tennessee Valley Author ity, River Operations, January 2009.
 
TVA (2010), "Sequoyah Nuclear Plant (SQN) - Revised Thermal Performance Baseline and Capacity Ratings," Memo from Scott D. Terry to J.D. Williams (B85100419001),
April 14, 2010.


TVA (2013), "Sequoyah Nuclear Plant (SQN)--Update of Flowrate Characteristics Through the Diffusers," Memo from Paul N.
TVA (2009), Harper, W.L. and P.N. Hopping, Study to Confirm the Calibration of the Numerical Model for the Thermal Discharge from Sequoyah Nuclear Plant as Required by NPDES Permit No. TN0026450 of September 2005, Report No. WR2009-1-45-150, Tennessee Valley Authority, River Operations, January 2009.
Hopping to Bradley M. Love, March 4, 2013.}}
TVA (2009), Ambient Temperature and Mixing Zone Studies for Sequoyah Nuclear Plant as Required by NPDES Permit No. TN0026450 of September 2005, Report No.
WR2009-1-45-151, Tennessee Valley Authority, River Operations, January 2009.
TVA (2010), Sequoyah Nuclear Plant (SQN) - Revised Thermal Performance Baseline and Capacity Ratings, Memo from Scott D. Terry to J.D. Williams (B85100419001),
April 14, 2010.
TVA (2013), Sequoyah Nuclear Plant (SQN)--Update of Flowrate Characteristics Through the Diffusers, Memo from Paul N. Hopping to Bradley M. Love, March 4, 2013.
25}}

Revision as of 12:40, 4 November 2019

WR2013-1-45-152, Study to Confirm the Calibration of the Numerical Model for the Thermal Discharge from Sequoyah Nuclear Plant as Required by NPDES Permit No. TN0026450 of March 2011.
ML13289A100
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TENNESSEE VALLEY AUTHORITY River Operations & Renewable Study to Confirm the Calibration of the Numerical Model for the Thermal Discharge from Sequoyah Nuclear Plant as Required by NPDES Permit No. TN0026450 of March 2011 WR2013-1-45-152 Prepared by T. Matthew Boyington Paul N. Hopping Walter L. Harper Knoxville, Tennessee April 2013

EXECUTIVE

SUMMARY

The National Pollutant Discharge Elimination System (NPDES) permit for Sequoyah Nuclear Plant (SQN) identifies the release of cooling water to the Tennessee River through the plant discharge diffusers as Outfall 101. The primary method to monitor compliance with the NPDES temperature limits for this outfall includes the use of a numerical model that solves a set of governing equations for the hydrothermal conditions produced in the river by the interaction of the SQN release and the river discharge. The numerical model operates in real-time and utilizes a combination of measured and computed values for the temperature, flow, and stage in the river; and the temperature and flow from the SQN discharge diffusers. Part III, Section G of the permit states: The numerical model used to determine compliance with the temperature requirements for Outfall 101 shall be subject of a calibration study once during the permit cycle. The study should be accomplished in time for data to be available for the next permit application for re-issuance of the permit. A report of the study will be presented to the division of Water Pollution Control. This report is provided in fulfillment of these requirements.

The basic formulation of the numerical model is presented herein. Three empirical parameters are used to calibrate the model. The first is the effective width of the diffuser slot, and the second is a relationship used to compute the entrainment of ambient water along the trajectory of the plume. The third parameter is a relationship for the amount of diffuser effluent that is re-entrained into the diffuser plume for periods of sustained low river flow.

Temperature measurements across the downstream end of the SQN mixing zone from fifty samples collected between 1982 and 2012 were used in this calibration study. These observed data were compared with computed downstream temperatures from the numerical model for the same periods of time. In this process, sensitivity tests were performed for the effective diffuser slot width, entrainment relationship, and plume re-entrainment function. The results show acceptable agreement between computed and measured temperatures, particularly at river temperatures greater than 75ºF. The overall average discrepancy between the measured and computed downstream temperatures was about 0.55 Fº (0.31 Cº). For downstream temperatures above 75ºF, the average discrepancy was about 0.38 Fº (0.21 Cº). There was no significant change in the model performance compared to the previous calibration, and as a result, no update was required in the model parameter set.

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CONTENTS Page EXECUTIVE

SUMMARY

............................................................................................................. i LIST OF FIGURES ....................................................................................................................... iii LIST OF TABLES ......................................................................................................................... iii INTRODUCTION .......................................................................................................................... 1 BACKGROUND ............................................................................................................................ 3 NUMERICAL MODEL.................................................................................................................. 7 Plume Entrainment ........................................................................................................... 12 Diffuser Effluent Re-Entrainment ..................................................................................... 13 CALIBRATION ........................................................................................................................... 13 Previous Calibration Data and Calibration Work ................................................................... 13 New Calibration Data and Calibration Work.......................................................................... 16 Diffuser Slot Width............................................................................................................ 16 Plume Entrainment Coefficient ......................................................................................... 16 Diffuser Effluent Re-Entrainment ..................................................................................... 18 Results of Updated Calibration ........................................................................................ 20 CONCLUSIONS........................................................................................................................... 23 REFERENCES ............................................................................................................................. 24 ii

LIST OF FIGURES Page Figure 1. Location of Sequoyah Nuclear Plant .............................................................................. 1 Figure 2. Chickamauga Reservoir in the Vicinity of Sequoyah Nuclear Plant ............................. 2 Figure 3. Locations of Instream Temperature Monitors for Sequoyah Nuclear Plant................... 6 Figure 4. Sequoyah Nuclear Plant Outfall 101 Discharge Diffusers ............................................. 7 Figure 5. Two-Dimensional Plane Buoyant Jet Model for a Submerged Diffuser ........................ 8 Figure 6. Sensitivity of Computed Temperature Td to Diffuser Effective Slot Width ................ 17 Figure 7. Sensitivity of Computed Temperature Td to Plume Entrainment Coefficient .............. 18 Figure 8. Sensitivity of Computed Temperature Td to Effluent Re-Entrainment Function ......... 19 Figure 9. Comparison of Computed and Measured Temperatures Td for Field Studies from April 1982 through November 2012 ...................................................................21 Figure 10. Comparison of Computed and Measured 24-hour Average Temperatures Td for Station 8 for 2010 .................................................................................................21 Figure 11. Comparison of Computed and Measured Hourly Average Temperatures Td for Station 8 for 2010 ................................................................................................22 LIST OF TABLES Table 1. Summary of SQN Instream Thermal Limits for Outfall 101........................................... 5 Table 2. Thermal Surveys at SQN from April 1982 through March 1983 .................................. 14 Table 3. Thermal Surveys at SQN from March 1996 through April 2003 .................................. 15 Table 4. Thermal Surveys at SQN from February 2004 through November 2007...................... 15 Table 5. Thermal Surveys at SQN from November 2012 ........................................................... 16 Table 6. Plume Re-Entrainment Iteration Numbers and Factors ................................................. 19 iii

INTRODUCTION The Sequoyah Nuclear Plant (SQN) is located on the right bank of Chickamauga Reservoir at Tennessee River Mile (TRM) 484.5. As shown in Figure 1, the plant is northeast of Chattanooga, Tennessee, about 13.5 miles upstream and 45.4 miles downstream of Chickamauga Dam and Watts Bar Dam, respectively. As shown in Figure 2, the reservoir in the vicinity of SQN contains a deep main channel with adjacent overbanks and embayments. The main channel is approximately 900 feet wide and 50 to 60 feet deep, depending on the pool elevation in Chickamauga Reservoir. The overbanks are highly irregular and usually less than 20 feet deep.

SQN has two units with a total summertime gross generating capacity of about 2350 MWe and an associated waste heat load of about 15.6x109 Btu/hr (TVA, 2010). The heat transferred from the steam condensers to the cooling water is dissipated to the atmosphere by two natural draft cooling towers, to the river by a two-leg submerged multiport diffuser, or by a combination of both. The release to the river is identified in the National Pollutant Discharge Elimination System (NPDES) Permit as Outfall 101.

Figure 1. Location of Sequoyah Nuclear Plant 1

Figure 2. Chickamauga Reservoir in the Vicinity of Sequoyah Nuclear Plant 2

The compliance of SQN operation with the instream temperature limits specified in the NPDES permit (TDEC, 2011) is based on a downstream temperature that is calculated on a real-time basis by a numerical computer model. Part III, Section G of the permit states:

The numerical model used to determine compliance with the temperature requirements for Outfall 101 shall be subject of a calibration study once during the permit cycle. The study should be accomplished in time for data to be available for the next permit application for re-issuance of the permit. A report of the study will be presented to the Division of Water Pollution Control. Any adjustments to the numerical model to improve its accuracy will not need separate approval from the Division of Water Pollution Control; however, the Division will be notified when such adjustments are made.

This report presents a summary of compliance model and the required calibration study.

BACKGROUND The original method of monitoring thermal compliance for the SQN diffuser discharge (i.e.,

Outfall 101), included two temperature stations located near the downstream corners of the mixing zone, Station 8 and Station 11 (see Figure 2). Because of the necessity to keep the navigation channel free of obstructions, temperature stations could not be situated between these locations to monitor the center of the thermal plume. The upstream ambient river temperature was measured at Station 13, located on the plant intake skimmer wall. In August 1983, the Tennessee Valley Authority (TVA) reported the results of six field studies of the SQN diffuser performance under various river and plant operating conditions (TVA, 1983a). The data summarized in the report showed that based on measured temperature variations across the downstream edge of the mixing zone, Station 8 and Station 11 were inadequate in providing a representative cross-sectional average temperature of the thermal plume. In particular, it was found that Station 11 often was not in the main path of flow of the thermal plume and did not always show elevated temperatures. The remaining downstream monitor, Station 8, also was not considered adequate because it again was located outside the navigation channel. In the report, TVA proposed an alternate method to monitor thermal compliance involving the use of a numerical model to simulate the behavior of the thermal plume in the mixing zone. The model would provide a real-time assessment of compliance with the thermal discharge limitations.

Information required for the model included: the ambient river temperature upstream of the diffuser mixing zone (measured at Station 13, see Figure 2), the discharge in the river at SQN (determined from measurements at Watts Bar Dam and Chickamauga Dam), the depth of flow in the river (measured at Station 13), the temperature of the flow issuing from the plant diffusers (measured at Station 12, see Figure 2), and the discharge of the flow issuing from the diffusers (determined from measurements at both Station 12 and Station 13). A PC, located in the SQN Environmental Data Station (EDS), was to be used collect the required data, compute the thermal compliance parameters, and distribute the results to plant operators (see TVA, 1983b). The August 1983 report presented results demonstrating the validity of using the numerical model for tracking compliance with the Outfall 101 thermal limitations.

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The method of using the numerical model was sent to the Environmental Protection Agency (EPA) and the Tennessee Department of Environment and Conservation (TDEC), requesting approval for implementation as a valid means for monitoring SQN thermal compliance. The key advantage of the method includes a representation of the cross-sectional average downstream temperature that is at least as good as the instream temperature measurements from Station 8 and Station 11. The method also provides consistency with procedures that are used for scheduling releases from Watts Bar Dam and Chickamauga Dam, as well as procedures for operating Sequoyah Nuclear Plant. This consistency helps TVA minimize unexpected events that can potentially threaten the NPDES thermal limits for Outfall 101. In March 1984 approval was granted for TVA to use the numerical model as the primary method to track thermal compliance.

Except for infrequent outages, the model has been in use ever since. Subsequently, Station 11 was removed from the river. However, Station 8 was retained to provide an optional method to track thermal compliance should there be a need to remove the model from service.

Due to the ever changing understanding of the hydrothermal aspects of Chickamauga Reservoir, as well as the operational aspects of the nuclear plant and river system, modifications have been necessary over the years for both the numerical model and thermal criteria for Outfall 101. The current version of the model is presented in more detail later. The current thermal criteria are presented in Table 1. The limit for the temperature at the downstream end of the mixing zone (Td) is a 24-hour average value of 86.9°F (30.5°C) and an hourly average value of 93.0°F (33.9°C). The instream temperature rise (T) is limited to a 24-hour average of 5.4 F° (3.0 Cº)

for months April through October, and 9.0 F° (5.0 Cº) for months November through March.

The latter wintertime limit was obtained by a 316(a) variance. The temperature rate-of-change at the downstream end of the mixing zone (dTd/dt) is limited to +/-3.6 F°/hr (+/-2 Cº/hr). With the compliance model, dTd/dt is based on 24-hour average river conditions and 15 minute plant conditions. Other details related to the temperature limits for Outfall 101 are provided in the notes accompanying Table 1. It is important to note that compliance with instream temperature limits are based on a computed downstream temperature at a depth of 5.0 feet. And in a similar fashion, the upstream temperature is measured at the 5.0 foot depth, based on the average of temperature readings at the 3-foot, 5-foot and 7-foor depths.

Originally, the ambient river temperature for the temperature rise was measured at Station 13, about 1.1 miles upstream of the discharge diffusers. However, under sustained low flow conditions, it was discovered that heat from the diffusers can migrate upstream and reach the area of Station 13. In this manner, the ambient temperature can become elevated, thereby artificially reducing the measured impact of the plant on the river (i.e., T). As such, in late March 2006, a new ambient temperature station was installed in the river further upstream at TRM 490.4, about 6.8 miles upstream of the diffusers. The location of the new monitor, entitled Station 14, is shown in Figure 3.

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Table 1. Summary of SQN Instream Thermal Limits for Outfall 101 Averaging NPDES Type of Limit (hours) Limit2 Max Downstream Temperature, Td 24 86.9°F (30.5°C)

Max Downstream Temperature, Td 1 93.0°F (33.9°C)

Max Temperature Rise, T 24 5.4 F°/9.0 F° (3.0 Cº/5.0 Cº)

Max Temperature Rate-of-Change, dTd/dt Mixed +/-3.6 F°/hr (+/-2 Cº/hr)

Notes:

1. Compliance with the river limitations (river temperature, temperature rise, and rate of temperature change) shall be monitored by means of a numerical model that solves the thermohydrodynamic equations governing the flow and thermal conditions in the reservoir. This numerical model will utilize measured values of the upstream temperature profile and river stage; flow, temperature and performance characteristics of the diffuser discharge; and river flow as determined from releases at the Watts Bar and Chickamauga Dams. In the event that the modeling system described here is out of service, an alternate method will be employed to measure water temperatures at least one time per day and verify compliance of the maximum river temperature and maximum temperature rise. Depth average measurements can be taken at a downstream backup temperature monitor at the downstream end of the diffuser mixing zone (left bank Tennessee River mile 483.4) or by grab sampling from boats. Boat sampling will include average 5-foot depth measurements (average of 3, 5, and 7-foot depths). Sampling from a boat shall be made outside the skimmer wall (ambient temperature) and at quarter points and mid-channel at downstream Tennessee River mile 483.4 (downstream temperature). The downstream reported value will be a depth (3, 5, and 7-foot) and lateral (quarter points and midpoint) average of the instream measurements. Monitoring in the alternative mode using boat sampling shall not be required when unsafe boating conditions occur.
2. Compliance with river temperature, temperature rise, and rate of temperature change limitations shall be applicable at the edge of a mixing zone which shall not exceed the following dimensions: (1) a maximum length of 1500 feet downstream of the diffusers, (2) a maximum width of 750 feet, and (3) a maximum length of 275 feet upstream of the diffusers. The depth of the mixing zone measured from the surface varies linearly from the surface 275 feet upstream of the diffusers to the top of the diffuser pipes and extends to the bottom downstream of the diffusers. When the plant is operated in closed mode, the mixing zone shall also include the area of the intake forebay.
3. Information required by the numerical model and evaluations for the river temperature, temperature rise, and rate of temperature change shall be made every 15 minutes. The ambient temperature shall be determined at the 5-foot depth as the average of measurements at depths 3 feet, 5 feet, and 7 feet. The river temperature at the downstream end of the mixing zone shall be determined as that computed by the numerical model at a depth of 5 feet.
4. Daily maximum temperatures for the ambient temperature, the river temperature at the downstream edge of the mixing zone, and temperature rise shall be determined from 24-hour average values. The 24-hour average values shall be calculated every 15 minutes using the current and previous ninety-six 15-minute values, thus creating a rolling average. The maximum of the ninety-six observations generated per day by this procedure shall be reported as the daily maximum value. For the river temperature at the downstream end of the mixing zone, the 1-hour average shall also be determined. The 1-hour average values shall be calculated every 15 minutes using the average of the current and previous four 15-minute values, again creating a rolling average.
5. The daily maximum 24-hour average river temperature is limited to 86.9°F (30.5°C). Since the states criteria makes exception for exceeding the value as a result of natural conditions, when the 24-hour average ambient temperature exceeds 84.9°F (29.4°C) and the plant is operated in helper mode, the maximum temperature may exceed 86.9°F (30.5°C). In no case shall the plant discharge cause the 1-hour average downstream river temperature at the downstream of the mixing zone to exceed 93.0°F (33.9°C) without the consent of the permitting authority.
6. The temperature rise is the difference between the 24-hour average ambient river temperature measured at Station 14 and the computed 24-hour average temperature at the downstream end of the mixing zone. The 24-hour average temperature rise shall be limited to 5.4F° (3.0 C°) during the months of April through October. The 24-hour average temperature rise shall be limited to 9.0F° (5.0 C°) during the months of November through March.
7. The rate of temperature change shall be computed at 15-minute intervals based on the current 24-hour average ambient river temperature, current 24-hour-hour average river flow, and current values of the flow and temperature of water discharging through the diffuser pipes. The 1-hour average rate of temperature change shall be calculated every 15-minutes by averaging the current and previous four 15-minute values. The 1-hour average rate of temperature change shall be limited to 3.6F° (2 C°) per hour.

5

Sta 14, TRM 490.4 Tu Opossum Creek Chickamauga Reservoir Tennessee River Soddy Creek T = Td - Tu Sta 13, TRM 484.7 Daily average flow Intake SQN Sta 12 Mixing Zone Td Diffusers dTd/dt Sta 8, TRM 483.4 Figure 3. Locations of Instream Temperature Monitors for Sequoyah Nuclear Plant 6

NUMERICAL MODEL The diffusers at SQN are located on the bottom of the navigation channel in Chickamauga Reservoir. As shown in Figure 4, each diffuser is 350 feet long, and contains seventeen 2-inch diameter ports per linear foot of pipe, arranged in rows over an arc of approximately 18 degrees in the downstream upper quadrant of the diffuser conduit. The two diffuser legs rest on an elevated pad approximately 10 feet above the bottom of the river, occupying the 700 feet of navigation channel on the plant-side of the river (right side of the channel, looking downstream).

The flow in the immediate vicinity of the ports is far too complex to be analyzed on a real-time basis with current computer technology. Therefore, a simplifying assumption is made that the diffusers can be treated as a slot jet with a length equal to that of the perforated sections of the pipe. The width of this assumed slot is one of three empirical parameters used to calibrate the model. The second is a relationship used to compute the entrainment of ambient water along the trajectory of the plume and the third is a relationship for the amount of diffuser effluent that is re-entrained into the diffuser plume for sustained low river flow.

The initial development of the numerical model is described in detail by Benton (2003). Based on later studies that provided evidence that re-entrainment occurs (TVA, 2009), the original numerical model was modified to better reflect the local buildup of heat that occurs in the river under such conditions. Before presenting calibration results, it is appropriate first to provide a brief description of the model formulation.

Figure 4. Sequoyah Nuclear Plant Outfall 101 Discharge Diffusers 7

In general, the model treats the effluent discharge from the diffusers as a fully mixed, plane buoyant jet with a two-dimensional (vertical and longitudinal) trajectory. This is shown schematically in Figure 5. The jet discharges into a temperature-stratified, uniform-velocity flow and entrains ambient fluid as it evolves along its trajectory. The width, b, of the jet and the dilution of the effluent heat energy increase along the jet trajectory, decreasing the bulk mixed temperature along its path.

y Triver(y) s v v j

uriver(y) = ue u b(s)

R

x Figure 5. Two-Dimensional Plane Buoyant Jet Model for a Submerged Diffuser Consideration of the mass, momentum, and energy for a cross section of the plume orthogonal to the jet trajectory and having a differential thickness ds, yields the following system of ordinary differential equations, d

( j v j b) = me (conservation of mass in jet), (1) ds d

( j v j bu ) = me u e (conservation of x momentum in jet), (2) ds d

( j v j bv) = me ve + bg ( e j ) (conservation of y momentum in jet), (3) ds d

( j v j bcT j ) = me cTe (conservation of thermal energy in jet), (4) ds dx u

= , and (5) ds v j dy v

= , (velocity of jet tangent to trajectory). (6) ds v j 8

The following auxiliary relationships also are needed to solve the differential equations,

[

me = e (u e u ) + v 2 2

]1/ 2

, (7) j = water (T j ), (8) e = water (Te ) , (9)

Te = Triver ( y ) , (10) u e = u river , (11) ve = 0 , and (12)

(

v j = u2 + v2 )1/ 2

. (13)

In these equations, the subscripts j and e denote conditions within the buoyant jet and conditions within the water upstream of the mixing zone that is entrained by the jet, respectively. Thus, j denotes the density of water at a point inside the jet and e denotes the density of water entrained from upstream of the mixing zone. Te denotes the temperature of the water upstream of the mixing zone that is entrained by the jet. The x-velocity of the entrained water, ue, is the same as the river velocity, uriver, which is negligible in the vertical direction (i.e., ve = 0). The magnitude of the velocity along the jet trajectory is denoted by vj, with x- and y-components u and v, respectively. The individual jets issuing from the array of 2-inch diameter outlet ports of each diffuser are modeled as a plane jet issuing from a slot of width b0. Ideally, the slot width is chosen to preserve the total momentum flux issuing from the circular ports of the diffuser.

However, as indicated earlier, for this formulation, the slot width is used as a term to calibrate the numerical model. The river velocity uriver is computed by a one-dimensional unsteady flow model of Chickamauga Reservoir. Apart from information for the reservoir geometry, the basic input for the flow model includes the measured hydro releases at Watts Bar Dam and Chickamauga Hydro Dam and the measured river water surface elevation at SQN.

The transverse gradients of velocity, temperature, and density that occur within the jet due to turbulent diffusion of the effluent momentum and energy are modeled as an entrainment mass flux, me, induced by the vectorial difference between the velocity of the jet and that of the river flow upstream of the mixing zone. Empirical relationships for the entrainment coefficient are based on arguments of jet self-similarity and asymptotic behavior. These relationships incorporate non-dimensional parameters, such as a Richardson or densimetric Froude number, that describe the relative strengths of buoyancy and momentum flux in the jet (e.g., see Fischer et al., 1979). Again, as indicated earlier, the entrainment coefficient, like the slot width, is adjusted as part of the calibration process.

9

The initial conditions required by the model include, b s = s = b0 0 , (14) x s = s = R cos 0 , (15) y s = s = R sin 0 , (16) q0 u s=s = cos 0

b0 , (17) q0 v s=s = sin 0

b0 , and (18)

Tj = T0 s = s0

. (19)

This system of differential equations, auxiliary equations, and initial conditions comprise a first-order, initial-value problem that can be integrated from the diffuser slot outlet (s = s0) to any point along the plume trajectory. Note in the above that R is the radius of the diffuser conduit, b0 is the effective width of the diffuser slot, is the exit angle of the diffuser jet, T0 is the temperature of effluent issuing from the slot, and q0 is the effluent discharge per unit length of diffuser. In practice, integration of the governing equations is halted when the jet centerline reaches a point five feet below the water surface (the regulatory compliance depth) or when the upper boundary of the jet reaches the water surface. The jet temperature, Tj, at this point is reported as the fully-mixed temperature to which the thermal regulatory criteria are applied or to which monitoring station data at the edge of the regulatory mixing zone are compared. The integration is done with an adaptive step-size, fourth-order Runge-Kutta algorithm.

In the model, Station 13 (Figure 2), located 1.1 miles upstream of the diffusers, is used to represent the temperature of the water entrained in the mixing zone, Te = Triver ( y ) . Whereas this is a good assumption for river flows where the effluent plume is carried downstream, it weakens for low river flows. Based on the understanding gained in recent studies (TVA, 2009), it is known that partial re-entrainment of the effluent plume occurs at sustained low river flow, increasing the temperature of the water entering the mixing zone above that represented by Station 13. To simulate this phenomenon, the model modifies the Station 13 temperature profile for low river flows. For each point in the profile, a local densimetric Froude number is computed as uriver Fr = , (20) e p g (Ze Zb )

e 10

where uriver is the average river velocity, Ze-Zb is the elevation of the profile point relative to the bottom elevation of the river, e is the entrainment water density at that elevation, and p is the density of the effluent plume at the 5-foot compliance depth. The densimetric Froude number represents the ratio of momentum forces to buoyancy forces in the river flow. If Fr is less than 1.0 (i.e., buoyancy greater than momentum), it is assumed that the buoyancy of the plume is sufficient to cause part of the plume to travel upstream and become re-entrained into the flow, thereby increasing the temperature of the water entering the mixing zone. The modified entrainment temperature TeN at each point in the Station 13 profile is computed by repeatedly evaluating Ten = R x T p + (1.0 R ) x Ten 1 (21) for values of n from 1 to N, where N is the number of iterations of Eq. (21), R is a re-entrainment fraction, Ten =0 is the original Station 13 temperature, and Tp is the computed plume temperature at the 5-foot depth. N and R are functions of the 24-hour average river velocity. After new Station 13 temperatures have been computed for the entire profile, the mixing zone computation is performed again, using the modified profile to get a new plume temperature at the 5-foot depth. It is emphasized that the final result of the model is the computed temperature at the downstream end of the mixing zone. The instream temperature rise is still computed based on the temperature measurement at the new ambient temperature monitor, Station 14.

Values for N and R are calibrated based on observed temperatures at the downstream end of the diffuser mixing zone for low river flow conditions, as indicated earlier. Depending on the river stage, the modifications by Equation 21 begin to take effect as the 24-hour average river flow drops through the range of 17,000 cfs to 25,000 cfs, and increases as the 24-hour average river flow continues to drop. For river flows above this range, no modification is needed for re-entrainment.

The downstream temperature and instream temperature rise provided by the model are computed every 15 minutes, using instantaneous values of the measured diffuser discharge temperature (Station 12), measured upstream temperature profile (Station 13), measured ambient temperature (Station 14), measured river elevation (Station 13), and computed values of the river velocity (one-dimensional unsteady flow model of Chickamauga Reservoir) and diffuser discharge. The diffuser discharge is computed based on the difference in water elevation between the SQN diffuser pond (Station 12) and the river (Station 13). All computations are performed every 15 minutes to provide rolling hourly and 24-hour average values. The hourly averages are based on the current and previous four 15-minute values, whereas the 24 hour2.777778e-4 days <br />0.00667 hours <br />3.968254e-5 weeks <br />9.132e-6 months <br /> averages are based on current and previous ninety-six 15-minute values. The temperature rate-of-change is determined slightly different, being computed every 15 minutes based on current 24-hour average river conditions and current 15-minute values of the flow and temperature of water discharging from the SQN diffusers. This method was adopted in August 2001 in order to distinguish between rate-of-change events due to changes in SQN operations (i.e. changes in plant discharge flow and/or temperature) and those due to non-SQN changes in operations (e.g., changes in river flow). Prior to this change, SQN was held accountable for temperature rate-of-change events over which it had very little control or influence.

11

Plume Entrainment Two empirical relationships for the plume entrainment coefficient are available in the numerical model. The first, developed by McIntosh, was inferred from a relationship for the entrainment coefficient determined from the data reported in 1983 (TVA, 1983a) and is given by 0.27 for F < 0.75 d

0.27

= for 0.75 Fd 1.00 , (22) 2.5 Fd

0.55 for Fd > 1.00 where Fd is the densimetric Froude number of the diffuser discharge defined by wd Fd = . (23)

( d o )

gbo o

The term wd is the velocity of the diffuser discharge, g is the gravitational constant, b0 is the diffuser slot width, d is the density of the diffuser discharge, and o is the density of the ambient river water at the discharge depth.

The second entrainment coefficient, based on laboratory data, was originally developed by Benton in 1986 and is given by 1 + tanh(6.543 rmf 2.0584)

= 0.31 + 1.69 , (24) 2 where rmf = u river 3

/b, (25) and g d b = Q0 o . (26) l o Term uriver is the ambient river velocity, as previously defined, Q0 is the diffuser discharge flowrate, and l is the length of the ported section of the diffuser.

12

Diffuser Effluent Re-Entrainment Partial re-entrainment of the diffuser plume is known to occur under conditions of low river flow. When the diffuser plume attempts to entrain an amount of ambient flow greater than what is available from further upstream, the upper portions of the plume tend to migrate upstream and plunge downward to be mixed with the flow in the lower portion of the river. The formulation to simulate this phenomenon was presented earlier (Eqs. 20 and 21). The unknown coefficients to be determined in the calibration process are the number of iterations N and re-entrainment fraction R in Eq. (21), which are functions of the 24-hour average river velocity.

CALIBRATION The numerical model is calibrated to achieve the best match between computed downstream temperatures and field measurements at the downstream end of the mixing zone. Field measurements at the downstream end of the mixing zone are of two typesthose including samples from field surveys across the entire width of the mixing zone and those from Station 8, which includes samples only at the left-hand corner of the mixing zone (e.g., see Figure 2).

Higher priority is given to matching data from field surveys, since such measurements are made across the entire width of the plume mixing zone and are more representative of the average temperature in the thermal plume at the 5-foot compliance depth.

Previous Calibration Data and Calibration Work Prior to the NPDES permit of March 2011, field surveys were performed in 1981, 1982, 1983, 1987, 1996, 1997, 1999, 2000, 2002, 2003, 2004, 2006, and 2007. In July 1981, TVA conducted the first field survey of the SQN thermal discharge (TVA, 1982). The results of the field surveys were compared to projections from modeling relationships developed from mixing theory and a physical model test of the discharge diffusers. Adequate agreement was achieved between measured data and model projections. In cases where there were discrepancies, the model under-predicted the observed dilutions (i.e., over-predicted temperatures).

Between April 1982 and March 1983, five field surveys containing seventeen sets of samples across the downstream end of the mixing zone were performed to acquire data for validation of the computed compliance technique (TVA, 1983a). The results of these surveys are given in Table 2. Only one SQN unit was operating during the March 1983 testthe other five tests were for operation with two units. The results of the numerical model compared favorably with the field-measured downstream temperatures. On average, the discrepancy between the measured and computed downstream temperatures was about 0.40 F° (0.22 C°). Since the accuracy of the temperature sensors used by TVA are only about +/-0.25 F° (+/-0.14 C°), the agreement between the field measurements and the computer model was considered good. A similar comparison between the Station 8 and Station 11 temperatures and the measured average temperatures across the downstream edge of the mixing zone revealed that the discrepancy for Station 8 was about 0.79 F° (0.44 C°) and for Station 11 about 0.65 F° (0.36 C°). Consequently, it was concluded 13

that the numerical model is not only an accurate representation of the downstream temperature but also is likely superior to the monitoring approach using Station 8 and Station 11.

In September 1987, TVA released a report describing the field surveys in support of the validation and calibration of the SQN numerical model that had been performed up to that date (TVA, 1987). In the report, a chart was introduced that described the ambient and operational conditions for which field surveys had been performed. This chart indicated combinations of river flow, season, and number of operating units, showing what tests had been performed, and assigning relative priorities for tests to be performed in the future. With this guidance, six more field surveys were performed between March 1996 and April 2003, to measure downstream temperatures for various river flows and at different times of year. The results of these surveys produced ten sets of samples across the downstream end of the mixing zone, as given in Table 3.

Between 2004 and 2007 a number of additional field surveys were performed, providing twenty-three more sets of samples containing temperature measurements across the downstream end of the diffuser mixing for various river flows and at different times of the year. The results of these surveys are given in Table 4.

Table 2. Thermal Surveys at SQN from April 1982 through March 1983 River Temperatures (5-foot depth)

Approx Tu Td T Date Flow Stage Time Measured Measured Measured (cfs) (ft MSL)

(°F) (°F) (°F) 04/04/1982 0900 CST 19900 676.46 56.8 61.9 5.1 04/04/1982 1000 CST 19800 676.46 56.7 60.1 3.4 04/04/1982 1100 CST 19600 676.47 56.7 61.2 4.5 04/04/1982 1200 CST 19700 676.50 57.2 61.9 4.7 04/04/1982 1300 CST 19700 676.45 57.4 62.2 4.8 05/14/1982 0900 CDT 7200 682.43 74.5 71.8 -2.7 05/14/1982 1100 CDT 9100 682.40 73.4 71.8 -1.6 05/14/1982 1300 CDT 6300 682.42 72.1 73.6 1.5 09/02/1982 1400 CDT 38500 680.30 78.1 80.1 2.0 11/10/1982 1300 CST 36200 677.57 59.0 60.1 1.1 11/10/1982 1400 CST 31600 677.59 59.0 60.6 1.6 11/10/1982 1500 CST 32300 677.58 59.0 60.4 1.4 03/31/1983 1100 CST 9800 676.34 51.4 54.3 2.9 03/31/1983 1200 CST 9400 676.34 50.4 54.7 4.3 03/31/1983 1300 CST 9300 676.34 52.5 54.5 2.0 03/31/1983 1400 CST 9500 676.34 51.4 54.9 3.5 03/31/1983 1500 CST 9400 676.36 51.4 54.9 3.5 14

Table 3. Thermal Surveys at SQN from March 1996 through April 2003 River Temperatures (5-foot depth)

Approx Tu Td T Date Flow Stage Time Measured Measured Measured (cfs) (ft MSL)

(°F) (°F) (°F) 03/01/1996 1100 CST 42456 676.96 45.9 48.8 2.9 03/01/1996 1445 CST 28136 677.04 46.2 50.2 4.0 03/01/1996 1600 CST 21962 677.00 46.1 51.4 5.3 03/01/1996 1700 CST 20280 677.00 46.0 51.5 5.5 07/24/1997 1550 CDT 40441 682.57 83.5 84.7 1.2 03/24/1999* 1250 CST 35731 677.46 51.9 54.5 2.7 08/02/2000 1000 CDT 12472 682.20 82.1 85.1 3.0 08/02/2000 1100 CDT 8624 682.20 82.1 85.3 3.1 07/27/2002 1250 CDT 17231 682.37 84.0 86.6 2.6 04/23/2003 1445 CDT 34178 682.53 63.7 64.2 0.5

  • The survey of 03/24/1999 is lacking valid upstream temperature data and was not used in the calibration.

Table 4. Thermal Surveys at SQN from February 2004 through November 2007 River Temperatures (5-foot depth)

Approx Tu Td T Date Flow Stage Time Measured Measured Measured (cfs) (ft MSL)

(°F) (°F) (°F) 02/14/2004 0600 CST 51133 677.50 43.7 46.3 2.6 02/22/2004 1800 CST 18468 678.40 45.8 50.5 4.7 08/22/2004 1800 CST 12340 682.00 79.8 84.1 4.3 08/23/2004 1800 CST 39238 682.20 79.8 82.4 2.6 04/01/2006 1915 CST 7084 677.20 59.7 63.5 3.8 04/04/2006 0015 CST 7996 677.70 59.3 63.9 4.6 04/04/2006 1105 CST 8251 677.80 59.6 61.3 1.7 04/04/2006 2030 CST 8258 678.00 59.0 63.2 4.2 04/05/2006 0915 CST 7917 678.20 59.2 62.8 3.6 04/05/2006 2215 CST 8277 678.40 60.4 64.2 3.8 04/06/2006 0915 CST 8174 678.50 59.7 63.3 3.6 04/06/2006 2315 CST 8077 678.70 61.0 64.5 3.5 04/07/2006 0840 CST 8162 678.80 59.9 63.9 4.0 04/07/2006 1435 CST 7889 678.80 60.0 64.7 4.7 05/22/2006 1445 CST 14511 682.00 73.4 72.9 -0.5 05/23/2006 1455 CST 17878 682.20 73.5 73.9 0.4 05/28/2006 1440 CST 13396 682.30 76.6 76.7 0.1 05/29/2006 1435 CST 13713 682.40 77.5 77.6 0.1 05/30/2006 1425 CST 14304 682.40 79.7 79.2 -0.5 09/20/2007 1200 CST 8545 681.80 79.3 83.4 4.1 09/21/2007 1300 CST 8629 681.70 80.6 82.5 1.9 09/22/2007 0600 CST 6969 681.70 79.5 81.8 2.3 11/04/2007 1200 CST 7664 678.70 64.9 69.5 4.6 15

The most recent calibration of the numerical model was performed in 2009 to support the NPDES permit of September 2005 (TVA, 2009). The data from Table 2, Table 3, and Table 4 were used in this calibration. The average overall discrepancy between the measured and computed downstream temperatures was about 0.55 Fº (0.31 Cº). For downstream temperatures above 75ºF, the average discrepancy improved to about 0.38 Fº (0.21 Cº).

New Calibration Data and Calibration Work Since the 2009 model calibration, an additional field study was performed in November 2012 (Table 5). The study included the operation of one unit at SQN and was conducted concurrently with independent measurements for the discharge through the diffusers (TVA, 2013). With this, altogether fifty data points with sets of temperature samples across the downstream end of the mixing zone were available for updating the model calibration (i.e., Table 2 through Table 5).

Table 5. Thermal Surveys at SQN from November 2012 River Temperatures (5-foot depth)

Approx Tu Td T Date Flow Stage Time Measured Measured Measured (cfs) (ft MSL)

(°F) (°F) (°F) 11/16/2012 1400 CST 12599 678.62 57.0 60.3 3.3 Diffuser Slot Width The effective slot width for a multiport diffuser of the type at SQN can be assumed to fall somewhere between the width of a rectangle with length equal to that of the diffuser section and area equal to the total area of the ports; and the width a rectangle with length equal to that of the diffuser section and area equal to the arc length of the perforated section of the diffuser. For the SQN diffuser, this slot width would be between 0.37 feet and 2.67 feet. Multiple slot widths in this range were evaluated and compared with fifty measured data points from the field surveys (i.e., from Table 2 through Table 5). The results, given in Figure 6, show that larger slot widths yielded better agreement with the measured data. The nominal arc length of the perforated section of the diffuser (i.e., 2.67 feet) was selected as the best diffuser slot width to be used in the numerical model. This is the same value used in the 2009 model calibration.

Plume Entrainment Coefficient Figure 7 shows the comparison with measured data of downstream temperatures computed with the McIntosh (Eq. 22) and Benton (Eq. 24) entrainment coefficients, again based on fifty data points from the field surveys in Table 2 through Table 5. Both entrainment coefficients result in relatively close matches with the measured data. Although the McIntosh coefficient seems to perform better at low ambient river temperatures, temperatures computed using the Benton coefficient more closely match measured downstream temperatures at higher river temperatures.

16

Since the accuracy of the computation is more critical at temperatures approaching the NPDES limit for downstream temperature, the Benton coefficient, Eq. (24) is used in the compliance model.

Field Data - 1982 - 2012 90 Line of perfect agreement 85 B0 = 0.37 ft B0 =1.137 ft B0 = 1.903 ft 80 B0 = 2.67 ft B0 = 3.437 ft 75 Computed (oF) 70 65 60 55 50 45 45 50 55 60 65 70 75 80 85 90 Measured (oF)

Figure 6. Sensitivity of Computed Temperature Td to Diffuser Effective Slot Width 17

Field Data - 1982-2012 90 Line of perfect agreement 85 Benton Entrainment Coefficient McIntosh Entrainment Coefficient 80 75 Computed (oF) 70 65 60 55 50 45 45 50 55 60 65 70 75 80 85 90 Measured (oF)

Figure 7. Sensitivity of Computed Temperature Td to Plume Entrainment Coefficient Diffuser Effluent Re-Entrainment Based on the evaluation of numerous combinations of N and R for diffuser effluent re-entrainment (Eq. 20 and 21), Table 6 gives the values that resulted in computed downstream temperatures that most closely matched measurements in the field surveys (i.e., fifty data points from Table 2 through Table 5). For river velocities between the values given in Table 6, the re-entrainment factor R is interpolated between the table values. The number of iterations N is interpolated and then rounded to the nearest integer. No re-entrainment correction is performed for 24-hour river velocities greater than the highest value in the table.

Figure 8 shows the comparison of measured and computed downstream temperatures with and without the correction for plume re-entrainment as given in Table 6. Temperatures computed using the plume re-entrainment correction more closely matched measured values for twenty-seven of the fifty data points. Temperatures computed without using the plume re-entrainment correction more closely matched measured values for six data points, with no significant differences for the remaining data points. Based upon these results the re-entrainment correction method is used.

18

Table 6. Plume Re-Entrainment Iteration Numbers and Factors River Velocity Number of Iterations Re-entrainment Factor (ft/sec) N R 0.000 3 0.21930 0.050 3 0.13300 0.075 3 0.11000 0.100 3 0.10000 0.200 3 0.02670 0.300 3 0.03507 0.400 3 0.00893 0.500 3 0.00447 0.600 0 0.00000 Field Data - 1982-2012 90 Line of perfect agreement 85 Using Plume Reentrainment 80 Not Using Plume Reentrainment 75 Computed (oF) 70 65 60 55 50 45 45 50 55 60 65 70 75 80 85 90 Measured (oF)

Figure 8. Sensitivity of Computed Temperature Td to Effluent Re-Entrainment Function 19

Results of Updated Calibration For the assumed diffuser slot width and entrainment coefficient, and updated calibration including the re-entrainment function for low river flow, the computed and measured downstream temperatures for the fifty downstream temperature data points collected in SQN field surveys since March 1982 are shown in Figure 9. The average discrepancy between the measured and computed downstream temperatures was about 0.55 Fº (0.31 Cº). For downstream temperatures above 75ºF, the average discrepancy was 0.38 Fº (0.21 Cº). There was no significant change in the model performance compared to the previous calibration.

To be consistent with the 24-hour averaging specified in the current NPDES permit, the 24-hour average temperatures measured in 2010 at the downstream temperature monitor, Station 8, are compared to those computed by numerical model in Figure 10. 2010 was selected because it represents a new climatic extreme in East Tennessee for the period of record for this model. As before, the measured temperatures correspond to the average of sensor readings at the 3-foot, 5-foot, and 7-foot depths. The overall average discrepancy between the measured and computed 24-hour average downstream temperatures was about 0.71 Fº (0.39 Cº), and about 0.63 Fº (0.35 Cº) for downstream temperatures above 75ºF.

Measured downstream hourly average temperatures for the same time period are compared to those computed by numerical model in Figure 11. As expected, the temperature data are much more scattered for the hourly temperatures. The average discrepancy between the measured and computed hourly average downstream temperatures was 0.86 Fº (0.48 Cº) for the full range of river temperatures, decreasing to 0.71 Fº (0.39 Cº) for downstream temperatures above 75ºF.

It needs to be emphasized that in Figure 10 and Figure 11, the data from Station 8 is not necessarily representative of the average temperature across the downstream end of the mixing zone. However, in monitoring the NPDES compliance for Outfall 101, data from Station 8 is considered valuable for verifying basic trends in the downstream temperature as determined by the numerical model, thus providing the motivation for presenting the comparisons given in these figures.

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90 Line of perfect agreement 85 Field Data 1982 - 2012 80 75 Computed (oF) 70 65 60 55 50 45 45 50 55 60 65 70 75 80 85 90 Measured (oF)

Figure 9. Comparison of Computed and Measured Temperatures Td for Field Studies from April 1982 through November 2012 90 85 Line of perfect agreement 80 Measured 2010 75 70 Computed (oF) 65 60 Erroneous data due to faulty 55 sensor--values removed from discrepancy calculations 50 45 40 40 45 50 55 60 65 70 75 80 85 90 Measured (oF)

Figure 10. Comparison of Computed and Measured 24-hour Average Temperatures Td for Station 8 for 2010 21

90 85 Line of perfect agreement 80 Measured 2010 75 70 Computed (oF) 65 60 Erroneous data due to faulty 55 sensor--values removed from discrepancy calculations 50 45 40 40 45 50 55 60 65 70 75 80 85 90 Measured (oF)

Figure 11. Comparison of Computed and Measured Hourly Average Temperatures Td for Station 8 for 2010 22

CONCLUSIONS The numerical model for the SQN effluent discharge computes the temperature at the downstream end of the mixing zone with sufficient accuracy for use as the primary method of verifying thermal compliance for Outfall 101. In the updated calibration study summarized herein, which used the results from fifty sets of temperature samples across the downstream end of the diffuser mixing zone, the average discrepancy between the measured and computed downstream temperatures was about 0.55 Fº (0.31 Cº). For downstream temperatures above 75ºF, the average discrepancy improved to about 0.38 Fº (0.21 Cº). There was no significant change in the model performance compared to the previous calibration, and as a result, no update was required in the model parameter set.

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Fischer, H. B., E. J. List, R. C. Y. Yoh, J. Imberger, and N. H. Brooks (1979), Mixing in Inland and Coastal Waters, Academic Press: New York, 1979.

TDEC (2005), NPDES Permit No. TN0026450, Authorization to discharge under the National Pollutant Discharge Elimination System (NPDES), Tennessee Department of Environment and Conservation, Division of Water Pollution Control, Nashville, Tennessee 37243-1534, July 29, 2005.

TDEC (2011), NPDES Permit No. TN0026450, Authorization to discharge under the National Pollutant Discharge Elimination System (NPDES), Tennessee Department of Environment and Conservation, Division of Water Pollution Control, Nashville, Tennessee 37243-1534, January 31, 2011.

TVA (1982), McIntosh, D.A., B.E. Johnson, and E.B. Speaks, A Field Verification of Sequoyah Nuclear Plant Diffuser Performance Model One-Unit Operation, TVA Division of Air and Water Resources, Water Systems Development Branch, Report No.

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TVA (1983a), McIntosh, D.A., B.E. Johnson, and E.B. Speaks, Validation of Computerized Thermal Compliance and Plume Development at Sequoyah Nuclear Plant, Tennessee Valley Authority, Division of Air and Water Resources, Water Systems Development Branch Report No. WR28-l-45-115, August 1983.

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TVA (2003), Harper, W.L., Study to Confirm the Calibration of the Numerical Model for the Thermal Discharge from Sequoyah Nuclear Plant as Required by NPDES Permit No. TN0026450 of August 2001, Report No. WR2003-1-45-149, Tennessee Valley Authority, River Operations, June 2003.

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TVA (2009), Harper, W.L. and P.N. Hopping, Study to Confirm the Calibration of the Numerical Model for the Thermal Discharge from Sequoyah Nuclear Plant as Required by NPDES Permit No. TN0026450 of September 2005, Report No. WR2009-1-45-150, Tennessee Valley Authority, River Operations, January 2009.

TVA (2009), Ambient Temperature and Mixing Zone Studies for Sequoyah Nuclear Plant as Required by NPDES Permit No. TN0026450 of September 2005, Report No.

WR2009-1-45-151, Tennessee Valley Authority, River Operations, January 2009.

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April 14, 2010.

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