NUMUG - Oct 20031 Atmospheric Stability – Methods & Measurements Robert F. Yewdall PSEG Nuclear LLC.

Slides:



Advertisements
Similar presentations
21M062007D The Shaw Group Inc. ® An Analytical Screening Technique to Estimate the Effect of Cooling Ponds on Meteorological Measurements – A Case Study.
Advertisements

CURRENT METEOROLOGICAL HAPPENINGS THE SITING AND ACCIDENT CONSEQUENCES BRANCH DIVISION OF SITE AND ENVIRONMENTAL REVIEWS OFFICE OF NEW REACTORS Brad Harvey,
Atmospheric Dispersion Modeling for Carbon-14 Emissions 14th NUMUG Conference, June 2011, Chicago, IL Theodore A. MessierMark Strum Principal ScientistAdvisory.
Sejkora: What is RETS-REMP?
Determining a Backup Source of Meteorological Data for Dispersion Characteristics (Wind and Stability) Mark T. Carroll Heather A. McDonald Andrew J. Lotz.
Case Study: Impact of Above Ground Spent Fuel Storage on Nearby Meteorological Systems Jim Holian SAIC NUMUG Meeting Charlotte, NC June 2008.
Session 11: Modeling Dispersion of Chemical Hazards, using ALOHA 1 Modeling Dispersion of Chemical Hazards, using ALOHA Prepared by Dr. Erno Sajo, Associate.
11th NUMUG Meeting - St. Louis 10/13/061 Preliminary Dispersion Modeling for the NuStart Plant at Bellefonte Doyle E. Pittman and Kenneth G. Wastrack Tennessee.
Meteorology Combined License NRC Review Process Meteorology Joseph Hoch Physical Scientist U.S. Nuclear Regulatory Commission June , 2008 Nuclear.
Introduction to SCREEN3 smokestacks image from Univ. of Waterloo Environmental Sciences Marti Blad NAU College of Engineering and Technology.
1 ANSI/ANS American National Standard for Determining Meteorological Information at Nuclear Facilities R. Brad Harvey, CCM Physical Scientist.
International Energy Agency Hydrogen Implementing Agreement Proposed Task on Hydrogen Safety.
Temporal Comparison of Atmospheric Stability Classification Methods
NREP 2009 Emergency Preparedness and the New Reactor Licensing Process: An Update on Where We Are Now Dan Barss Division of Preparedness & Response Office.
ANALYSIS OF TRACER DATA FROM URBAN DISPERSION EXPERIMENTS Akula Venkatram and Vlad Isakov  Motivation for Field Experiments  Field Studies Conducted.
NRC LICENSE APPLICATION PROCESS
Meteorological Data Issues for Class II Increment Analysis.
Weather and X/Q 1 Impact Of Weather Changes On TVA Nuclear Plant Chi/Q (  /Q) Kenneth G. Wastrack Doyle E. Pittman Jennifer M. Call Tennessee Valley Authority.
US NRC Protective Action Recommendation Study National Radiological Emergency Preparedness Conference April 10, 2008 Las Vegas, NV Randy Sullivan, CHP.
The ANSI/ANS 2.15 Standard for Modeling Routine Radiological Releases from Nuclear Facilities John Ciolek AlphaTRAC, Inc.
X/Q for Releases From Area Sources 2009 RETS-REMP Workshop Jim Key Key Solutions, Inc.
Revision of NUREG-0654 Supp. 3 RI Scheduling Conference December 11, 2008 Mystic, Ct Randy Sullivan, CHP.
Using ARCON96 for Control Room Radiological Habitability Assessments
Meteorological Measurement Error Analysis based on ANSI/ANS-3.11 (2005) Kenneth G. Wastrack Tennessee Valley Authority NUMUG 2005.
ADMS ADMS 3.3 Modelling Summary of Model Features.
1 Modelled Meteorology - Applicability to Well-test Flaring Assessments Environment and Energy Division Alex Schutte Science & Community Environmental.
Introduction to the ISC Model Marti Blad NAU College of Engineering.
Seismic Instrumentation and Monitoring Needs of US Nuclear Power Plants Dr. Annie Kammerer Seismic Instrumentation Technology Symposium November 2009.
Strategies for the Selection of Substitute Meteorological Data Ken Sejkora Entergy Nuclear Northeast – Pilgrim Station Presented at the 14 th Annual RETS-REMP.
Identifying Non-Linear Flow for Modeling of Routine Releases from TVA Nuclear Facilities Toree M. Cook Kenneth G. Wastrack Doyle E. Pittman Tennessee Valley.
Waste Treatment Plant Project Adapting Dispersion Software to DOE Standard 3009 Jorge Schulz Thomas R. McDonnell Bechtel National, Inc EFCOG Safety.
NRC Update 2009 New Reactor Licensing Activities
Design Bases From 1957 to 2003 June 18, 2007 Chuck Casto Region II NRC.
SRNS-F Comparison of Parameters for Modeling Tritium Dispersion Accident Analyst Nuclear & Criticality Safety Engineering Savannah River.
NEI Issues & Current Events George Oliver June 22, th Annual RETS – REMP Workshop South Bend, Indiana.
NRC Endorsement of Standards
Investigation of Meteorological Tower Siting Criteria Ken Sejkora Entergy Nuclear Northeast – Pilgrim Station Presented at the 15 th Annual RETS-REMP Workshop.
R. Brad Harvey, CCM Physical Scientist Office of Nuclear Reactor Regulation U.S. Nuclear Regulatory Commission 11th NUMUG Meeting, St. Louis, MO, October.
NUMUG_TVA-Nowcast1 TVA Nowcast Aids for Emergency Preparedness Kenneth G. Wastrack and Doyle E. Pittman Tennessee Valley Authority Presented at the 11.
AMBIENT AIR CONCENTRATION MODELING Types of Pollutant Sources Point Sources e.g., stacks or vents Area Sources e.g., landfills, ponds, storage piles Volume.
Deposition Velocity Issues at Y-12 Bruce A Wilson Chief Engineer, Nuclear Facility Safety Douglas Clark Analyst B&W Technical Services Y-12 May 9, 2012.
Earth System Sciences, LLC Suggested Analyses of WRAP Drilling Rig Databases Doug Blewitt, CCM 1.
January 2008 Trajectories Magnuz Engardt Swedish Meteorological and Hydrological Institute.
ESP / COL Applications Meteorological Data Requirements and Regulatory Conformance Issues Ping Wan Bechtel Power Corporation The Eleventh Nuclear Utility.
13 th Nuclear Utility Meteorological Data Users Group Meeting Lessons Learned From Establishing Design- and Operating-Basis Regional Meteorological Conditions.
Meteorological Program Self Assessment Presented at NUMUG San Francisco, CA 2009.
BFN Sigmas1 EVALUATING METEOROLOGICAL MONITORING SITES USING SIGMA-THETA Kenneth G. Wastrack Doyle E. Pittman T ENNESSEE V ALLEY A UTHORITY.
ANSI/ANS-3.11 Determining Meteorological Information at Nuclear Facilities Stanley L. Marsh, CCM, Southern California Edison 8th NUMUG Meeting St. Charles,
| Folie 1 Assessment of Representativeness of Air Quality Monitoring Stations Geneva, Wolfgang Spangl.
1 Control Room Habitability Program James A. Carlson, Omaha Public Power District, Author Deep Ghosh, Southern Nuclear Operating Greg Holbrooks, PE, Duke.
Comparison of the AEOLUS3 Atmospheric Dispersion Computer Code with NRC Codes PAVAN and XOQDOQ 13th NUMUG Conference, October 2009, San Francisco, CA.
Types of Models Marti Blad Northern Arizona University College of Engineering & Technology.
PRACTICAL USER TIPS FOR ARCON96 10 TH NUMUG MEETING Wilmington, NC June 2005 By Y. J. Lin Bechtel Power Corporation Frederick Maryland.
1 NRC Update R. Brad Harvey, Leta Brown US Nuclear Regulatory Commission th NUMUG Meeting, Wilmington, NC.
1 Public Meeting with ASME to Discuss Pump Inservice Testing Issues NRC Headquarters OWFN Room 1F22 June 4, 2007.
Research and Test Reactor Decommissioning Inspections Gerald A. Schlapper, PhD, PE, CHP Health Physicist Division of Nuclear Materials Safety Region I.
Quality Assurance National Nuclear Standards C. H. Moseley, Jr. 33 rd National Energy & Environmental Conference August 28, 2006.
1 An Introduction to the Headquarters Operations Center and RASCAL Kevin Quinlan Physical Scientist, NRO U.S. Nuclear Regulatory Commission October 21.
Various Methodologies for Calculating the Impacts on Delta-T From Independent Spent Fuel Storage Installations (ISFSI) Jim Holian and Steve Mirsky, SAIC.
Producing Meteorological Fields for Local Scale Pollutant Transport and Dispersion Estimates 1)Using the CALPUFF modeling system. 2)The model system produces.
7. Air Quality Modeling Laboratory: individual processes Field: system observations Numerical Models: Enable description of complex, interacting, often.
Modeling of heat and mass transfer during gas adsorption by aerosol particles in air pollution plumes T. Elperin1, A. Fominykh1, I. Katra2, and B. Krasovitov1.
Recent Developments Regarding Control Room Habitability Assessment
NRC’s LLW Regulatory Program: Update of Emerging Issues
Flooding Walkdown Guidance
The Role of Meteorology in the Nuclear Power Industry
PURPOSE OF AIR QUALITY MODELING Policy Analysis
NRC Update Nader Mamish, Director Emergency Preparedness Directorate
TRTR Briefing September 2013
Illinois Department of Nuclear Safety
Presentation transcript:

NUMUG - Oct Atmospheric Stability – Methods & Measurements Robert F. Yewdall PSEG Nuclear LLC

NUMUG - Oct Introduction  Overview Of Atmospheric Stability Classification As It Relates To Commercial Nuclear Power Stations  Not Intended To Endorse Any Specific Model Or Atmospheric Dispersion Methodology

NUMUG - Oct Atmospheric Stability  History  NRC Requirement  Uses Of Stability Index

NUMUG - Oct Prescriptive Requirement For NRC Licensees  Regulatory Guide 1.111, Methods for Estimating Atmospheric Transport and Dispersion….  Regulatory Guide 1.145, Atmospheric Dispersion Models for Potential Accident Consequence Assessment at Nuclear Power Plants.  Standard Review Plan (NUREG 0800)  Standard Format and Content Guide (Reg Guide 1.70)  Draft Regulatory Guide DG-1111, Atmospheric Relative Concentration For Control Room Radiological Habitability Assessment At Nuclear Power Plants

NUMUG - Oct The Paradox – Tower Siting Requirements versus Representation of Dispersion of Effluents at the Point of Release  1. The need to gather climatological/ meteorological data for site characterization and short term (accident) and long term dispersion estimates.  2. The need to determine what is happening to the effluent (source term) released from the station.

NUMUG - Oct History - General  Data gathering for station licensing & siting (primarily 10 CFR Part 100).  Early emergency planning  Post TMI  NRC Program and Instrument Requirements Still 1972 vintage (SG 23)

NUMUG - Oct History at PSEG  Dispersion analysis originally developed from Brookhaven model  Persuaded to estimate dispersion based on NRC ‘requirements’

NUMUG - Oct Brookhaven Model

NUMUG - Oct Early FSAR Analysis All Hours

NUMUG - Oct Early FSAR Analysis Stable Only

NUMUG - Oct Basis Numerical functions,  y (x) and  z (x). employed to describe the lateral and vertical dispersion, were created empirically using Gaussian statistics based on field observations and tracer studies. As described in numerous documents and as identified in an article by C.W. Miller 1 “..while these Pasquill-Gifford (PG) curves have been applied to a large variety of different situations, they were actually intended for use under rather limited circumstances: wind speed greater than 2 m/sec, nonbuoyant plumes, flow over open country and downwind distances of only a few km…”. In addition “… values generally applied with the model were originally derived from data gathered on over relatively flat, smooth terrain…” 1 An Examination of Gaussian Plume Dispersion Parameters For Rough Terrain, Atmospheric Environment, (1978) Vol. 12, pp 1359

NUMUG - Oct Post TMI Requirements  RG 1.97 Instrumentation for Light-Water-Cooled Nuclear Power Plants To Assess Plant and Environs Conditions During and Following an Accident  NUREG 0654 Criteria for Preparation and Evaluation of Radiological Emergency Response Plans and Preparedness in Support of Nuclear Power Plants, Rev Nov 1980  NUREG 0737, Requirements For Emergency Response Capability, Supp 1, 12/92  NUREG 0696 Functional Criteria for Emergency Response Facilities, 1981  License conditions or commitments

NUMUG - Oct Calculation Structure  Atmospheric Stability Is Index Into 7 Category Grouping  Determination Of Stability Is Either By Delta Temperature Or Sigma Theta  Stability Index Currently Defined In A Number Of NRC Regulatory Guides and NUREG  Stability Class Generally Referred To As “ Pasquill – Gifford” or P-G Class

NUMUG - Oct Calculation Structure - Cont  Index Form Discrete Values (can create large steps in dose projections)  NRC Regs Require Delta Temperature Index To Be Used For Determination Of Long Term & Accident Dispersion Calculations  For Emergency Preparedness Purposes - Could Use Sigma Theta As Substitute For Delta Temperature Or For Sigma Y

NUMUG - Oct What is going on at the release point

NUMUG - Oct Possible Differences Between Met Tower and Release Point  Land – Sea Interfaces  Valley Flows  Elevation Difference – Cliffs and Bluffs

NUMUG - Oct

NUMUG - Oct Site Area

NUMUG - Oct Region

NUMUG - Oct

NUMUG - Oct Sigma Theta  Per ANSI/ANS , the standard deviation of horizontal wind direction fluctuations shall be determined by statistical analysis of samples from no less than 180 instantaneous values of lateral wind direction during the sample period (i.e. if the sampling period is 15 minutes, values sampled at every five- second interval or less are acceptable); likewise, if the sampling period is one hour, 20 second sampling intervals or less are acceptable. Maximum sampling time is one hour.

NUMUG - Oct Sigma Theta  CLASSIFICATION OF ATMOSPHERIC STABILITY PER ANS   CATEGORYPASQUILL CLASS SIGMA THETA (ST)   EXTREME UNSTABLEAST>=22.5  MODERATE UNSTABLEB 22.5>ST>=17.5  SLIGHTLY UNSTABLEC 17.5>ST>=12.5  NEUTRALD 12.5>ST>=7.5  SLIGHTLY STABLEE7.5>ST>= 3.8  MODERATE STABLEF3.8>ST>=2.1  EXTREMELY STABLEG2.1>ST

NUMUG - Oct VERTICAL TEMP DIFF (DT)  P-G Class(DEGREE C/100M)  ADT<=-1.9  B-1.9<DT<=-1.7  C-1.7<DT<=-1.5  D-1.5<DT<=-0.5  E-0.5<DT<=1.5  F1.5<DT<=4.0  G 4.0<DT Regulatory Guide 1.23 Table 2 defines the seven stability classifications that are based on ranges from sigma theta. Sigma Theta is a measure of standard deviation.

NUMUG - Oct Example – 15 Minute Average

NUMUG - Oct Example – 15 Minute

NUMUG - Oct Stability Comparison Table

NUMUG - Oct Stability Comparison - Plot

NUMUG - Oct Where Do We Go From Here ?

NUMUG - Oct Guidance – Current Status NRC’S CURRENT POSITION ON METEOROLOGY (05/02) –SAFETY GUIDE 23 (AKA, R.G. 1.23) IS STILL IN EFFECT. –PROPOSED REV. 1, AND 2 nd PROPOSED REV. 1 TO R.G WERE NEVER ADOPTED. –AT PRESENT, THERE IS NO EFFORT, ONGOING OR PLANNED WITHIN NRC, FOR AN UPDATE OR REVISION. –NRC IS WAITING FOR AN INDUSTRY TRADE GROUP (e.g. NUMUG) TO TAKE THE INITIATIVE TO GET ANSI/ANS RECOGNIZED.

NUMUG - Oct Issues  NRC Support/ Recognition of Met Standard ANSI/ANS 3.11  Prescriptive nature of dispersion modeling ( i.e., delta Ts)  Location of meteorological monitoring relative to release location  No change in temporal, spatial changes in condition for 50 miles  Met validation and quality programs requirement inconsistent with effluent release validation requirements  Station support following removal from Tech Specs