ML12334A743

Official Exhibit - NYS000221-00-BD01 - NRC Staff Email, from Robert Palla to Andrew Stuyvenberg, Containing Document on Weather Runs (Oct. 29, 2009)

ML12334A743
Person / Time
Site:	Indian Point
Issue date:	10/29/2009
From:	Palla R NRC/NRR/DRA/APLA
To:	Stuyvenberg A Division of License Renewal, Atomic Safety and Licensing Board Panel
SECY RAS
References
RAS 21571, 50-247-LR, 50-286-LR, ASLBP 07-858-03-LR-BD01
Download: ML12334A743 (4)

Text

United States Nuclear Regulatory Commission Official Hearing Exhibit Entergy Nuclear Operations, Inc.

In the Matter of:

(Indian Point Nuclear Generating Units 2 and 3) c:..\,.~p..R REGlI~;. ASLBP #: 07-858-03-LR-BD01 NYS000221 Submitted: December 16, 2011

• l~'~.

Docket #: 05000247 l 05000286 Exhibit #: NYS000221-00-BD01 Identified: 10/15/2012

• 0 Admitted: 10/15/2012 Withdrawn:

~ ~

....,,1-

? ~

0.... Rejected: Stricken:

• • • • il Other:

IPRenewal NPEmails From: Palla, Robert Sent: Thursday, October 29,2009 1:07 PM To: Stuyvenberg, Andre\A,f Cc: iPRenewai NPEmaiis

Subject:

Weather Runs 1029 09.doc Attachments: Weather Runs 1029 09.doc FYI NRCPA00079060

Hearing Identifier: IndianPointUnits2and3NonPublic_EX Email Number: i838 Maii Enveiope Properties (8C658E9029C9i D4D90C6960EF59FCOD60258FOF749)

Subject:

INeaiher Runs 1029 09.doc Sent Date: "10/29/2009 1 :07:29 Pivi Received Date: 10/29/2009 -1 :07:30 Pivi From: Paila, Robert Created By: Robert.Palla@nrc.goY Recipients:

"IPRenewal NPEmails" <IPRenevval,NPEmails@nrc.gov>

Tracking Status: ~~one "Stuyv8nbarg, AndrsV',," <Andre'y'y,Stuyv8nb8rg@nrc.gov>

Tracking Status: ~~on8 Post Office: HQCLSTR02.nrc.gov Fi!es Size Date & Time MESS,a.GE 5 10/29/2009 1:07:30 PM

\lVeather Runs 1029 09.doc 224878 Options Priority: Standard Return Notification: No Rep!y Reqltf~sted: NQ Sensitivity: Normal Expiration Date:

Recipients Received:

NRCPA00079061

Indian Point Weather Weather data were reviewed and are of interest because the consequences for a given release of radioactive material would be different if the release Percent by Dire-c:tion occurred at different times of the 1 year and under different ambient vJeather conditions. Entergy averaged 5 years of meteorological data and used the 5 year average as input data in ihe iviACCS2 analysis raiher than using the standard approach of sampling over a year of data. The process used to average the data was 9

provided in the MACCS2 Meteorological Input File I-Igure 1. Piot of Entergy 5 Year Averaged Weather from Generation Report the site; 0 meter tower showing direction wind is blowing

(! PEC001 03877 thru toward.

IPEC00103889). The MACCS2 input file metLinp includes 8,760

[lourly weather samples (365 days x 24 hour2.777778e-4 days <br />0.00667 hours <br />3.968254e-5 weeks <br />9.132e-6 months <br />s/day) from tile January 2000 to December 2004 iPEC 10 meier mei tower data. The resuits of the averaged weather generate a wind rose predominantly in the northerly direction as shown in Figure

1. Review of the process describing ho\"!

the \Veather

'vvas averaged did not provide insights into why the wind rose IS predominantly I1___.. '~-::F-IQ

,.** II northerly. 1m *2[80 I I*k 1U1I I The averaged I C".~Il*" I L~.:.*L weather data Figure 2. Plot of Weather for Years 1999 - 2002 from the site 10 were compared meter tower showing direction wind is blowing toward. (percent by to the \vind direction) speed/direction information provided in the Indian Point annual effluent reports for 1999 though 2002 (ML031220099, ML021260723, ML011240172, ML003714664), also for the 10 meter met tower. A wind rose was developed for each year from 1999 through 2002. Each of the weather iiles ior the years i999 thru 2002 are relatively similar, and the wind rose ior each year of weather shows in Figure 2 that the northern and southern directions are October 29, 2009 NRCPA00079062

dominant Thus, the MACCS2 input of averaged weather used in the analysis does not appear to reflect the annual weather conditions. An analysis is needed using discrete years of weather data for each or at least some of the 5 years, without averaging weather, to understand the effects of weather on the SAMA conclusions.

Data Needs The inputs and assumptions regarding the v-leather input file vvere not described ,"ve!!

enough to fully understand whether the application of these \tvere appropriate for the analysis. In order to confirm the SAMA analysis is conservative and consistent with current industry practice and modeiing techniques, additionai information is needed inciuding the foiiowing:

1. Additional information is needed in the form of consequence analyses using annual, rather than averaged, weather data. An analysis of at least one specific weather year should be conducted using the 10 meter weather information available from the site. Use of the 10 meter station may be expected to show a greater likelihood of wind in the northerly and southerly directions following the river. It may be beneficia! to also perform an analysis using the weather data from the 120 meter station available from the site.

'v"v'hen performing the analysis using the specific weather year, it may be beneficial to revise some other parameters.

• NUREG; ;50 vaiues of 50 rem in ;2 hours2.314815e-5 days <br />5.555556e-4 hours <br />3.306878e-6 weeks <br />7.61e-7 months <br /> and 25 rem in 24 hours2.777778e-4 days <br />0.00667 hours <br />3.968254e-5 weeks <br />9.132e-6 months <br /> as the input criteria for Hotspot and Normal Relocation. These values lead to higher dose to individuals than current practice would indicate. Values used in current MACCS2 analyses are based on EPA protective action guides (pAGs) of 1 rem in 12 hours1.388889e-4 days <br />0.00333 hours <br />1.984127e-5 weeks <br />4.566e-6 months <br /> and 0.5 rem in 24 hours2.777778e-4 days <br />0.00667 hours <br />3.968254e-5 weeks <br />9.132e-6 months <br />.

• A single plume segment was modeled by Entergy which can limit the effect of weather changes. There may be a benefit to using the more current approach of multiple plume segments. Using hourly plume segments takes maximum advantage of v/ind shifts that occur in the

'vveather data, but this vv'ould require using VVinMACCS rather than the oldei MACCS2.

October 29, 2009 NRCPA00079063