A Dual Elevator Meteorological System at the Cooper Nuclear Station Jim Holian/Russ Southerland SAIC June 2005 NUMUG Meeting.

Slides:



Advertisements
Similar presentations
T.R. THE MINISTRY OF ENVIRONMENT AND FORESTRY
Advertisements

October 2000[NUMUG] Comparison of Wind Sensors1 of 14 Comparison of Wind Sensors - Ultrasonic versus Wind Vane/Anemometer Kenneth G. Wastrack Doyle E.
CURRENT METEOROLOGICAL HAPPENINGS THE SITING AND ACCIDENT CONSEQUENCES BRANCH DIVISION OF SITE AND ENVIRONMENTAL REVIEWS OFFICE OF NEW REACTORS Brad Harvey,
SYSTEM-WIDE PROCESS CONTROLS UPGRADE Detroit Water & Sewerage Department.
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.
THE OKLAHOMA MESONET: EVOLUTION FROM REAL-TIME WEATHER NETWORK TO CLIMATE NETWORK Christopher Fiebrich and Kevin A. Kloesel Oklahoma Climatological Survey.
1 Comparison of Analog vs. Advance Technology Air Sampling System Designs To Facilitate Correction of Measured or Calculated Volumes to a Set of Reference.
1 COPS Workshop 2008 University of Hohenheim, Stuttgart; 27 to 29 February 2008 IMGI‘s contribution to the COPS 2007 field experiment Simon Hölzl & Alexander.
1 ANSI/ANS American National Standard for Determining Meteorological Information at Nuclear Facilities R. Brad Harvey, CCM Physical Scientist.
Temporal Comparison of Atmospheric Stability Classification Methods
Meteorological Monitoring System Surveys Past, Present, and Future Kenneth G. Wastrack Tennessee Valley Authority & John Ciolek AlphaTRAC, Inc. 1Met Monitoring.
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.
Sonic vs. Cup/Vane Data Comparison at the Cooper Nuclear Station Jim Holian SAIC Jim Holian SAIC NUMUG Meeting St. Louis, MO October 2006 NUMUG Meeting.
David Perkins Seabrook Station Biweekly Airborne Sampling.
Background Approximately 70 percent of Africans rely on farming for their livelihood, or close to 700 million people, and over 95 percent of Africa's agriculture.
The Foothills Climate Array Manda Adams Shawn Marshall Shannon Fargey.
Department of Meteorology and Geophysics University of Vienna since 1851 since 1365 UnivVienna Instrumentation Manfred Dorninger and Reinhold Steinacker.
The meteorological capabilities of the British Antarctic Survey in Antarctica Steven Colwell.
Purchase of Additional Davis Weather Station Equipment for the Department of Geological and Atmospheric Sciences Dave Flory and Eric Aligo Dept. of Geological.
By ANJIT ANJAN Meteorologist India Meteorological Department India TECO-2008.
Strategies for the Selection of Substitute Meteorological Data Ken Sejkora Entergy Nuclear Northeast – Pilgrim Station Presented at the 14 th Annual RETS-REMP.
Condition Monitoring Adam Adgar School of Computing and Technology.
Presents the Panama Canal Alert System. The Panama Canal One of the most important waterways in the world Over 700,000 transits through the canal since.
NUMUG Survey (Second Edition) Kenneth Wastrack Tennessee Valley Authority.
1 Meteorological National Institute The Climatological Data Bank of MNI Tunisia Presented by : Mr Brahim BCHIR.
Tower SystemsJanuary AMS Short Course on Instrumentation 1 Installation and Use of Meteorological Tower Systems Melanie A. Wetzel Desert Research.
What Makes a Smart Controller “Smart”?. Definition “Smart controllers are irrigation clocks that automatically adjust irrigation run times in response.
Probe12 Sap Velocity based Sap flow logger & Irrigation Scheduler.
Investigation of Meteorological Tower Siting Criteria Ken Sejkora Entergy Nuclear Northeast – Pilgrim Station Presented at the 15 th Annual RETS-REMP Workshop.
NUMUG_TVA-Nowcast1 TVA Nowcast Aids for Emergency Preparedness Kenneth G. Wastrack and Doyle E. Pittman Tennessee Valley Authority Presented at the 11.
Section 12.3 Gathering Weather Data
A NEW STANDARD IN METEOROLOGICAL MONITORING SYSTEMS INSTALLED AT THE PERRY NUCLEAR POWER PLANT Jim Holian (SAIC) and Jamie Balstad (First Energy Corp)
A Statistical Comparison of Weather Stations in Carberry, Manitoba, Canada.
Let’s get started on the C&M Group Project!!! 1.Type your first AND last name 2.Type your Teacher’s name (**Fill in your partner(s) information here as.
The CoAgMet Network: Overview, History and How It Works Wendy Ryan Colorado Climate Center Colorado State University.
Life in the AtacamaCarnegie Mellon Atacama Weather July 29, 2003 Fayette Shaw Michael Wagner Robotics Institute Atacama Weather.
The Surprising Impact Stuff on the Tower has on Meteorological Data NUMUG Meeting Chicago June 2011 Jim Holian, SAIC.
CIMO Survey National Summaries of Methods and Instruments Related to Solid Precipitation Measurement at Automatic Weather Stations - Very Preliminary results.
© TAFE MECAT 2008 Chapter 6(b) Where & how we take measurements.
Meteorological Program Self Assessment Presented at NUMUG San Francisco, CA 2009.
Ping Zhu, AHC5 234, Office Hours: M/W/F 10AM - 12 PM, or by appointment M/W/F,
Weather forecasting –How it used to be done Traditionally weather forecasting relied upon the use of large numbers of different places in the country sending.
Why The Need For HCN-M ? More Accurate Data Through: Redundant Sensors
Digitalization and Data Rescue in Croatia Janja Milković Meteorological and Hydrological Service of Croatia.
Quality management, calibration, testing and comparison of instruments and observing systems M. Leroy, CIMO ET on SBII&CM.
PAM Station Photo: HVAMS03 10-m Tower: Prop-Vane Anemometer Lightning Spike Solar Panel / battery Power System 2-m Temperature / Humidity in aspirated.
TECO Upgrade and new developments of the automatic weather stations network in Austria Ernest Rudel, Martin Mair & Kurt Zimmermann ZAMG.
"... To design the control system that effectively matches the plant requires an understanding of the plant rivaling that of the plant's designers, operators,
I & C.
WMO CIMO Survey National Summaries of Methods and Instruments for Solid Precipitation Measurement - Preliminary results - R Nitu Meteorological Service.
Stephen A. Vigeant: Shaw E&I Carl A. Mazzola: Shaw E&I H. Wesley Nance: Washington TRU Solutions Consideration of Micrometeorological Trends Consideration.
H U N T S V I L L E, A L A B A M A COOP Modernization Efforts Jason Elliott NWS Huntsville October 24, 2006.
New & Improved Meteorological Data Archives Kenneth G. Wastrack Jennifer M. Call D. Sherea Burns Tennessee Valley Authority.
May 2002[NUMUG] Listening to the Wind1 of 17 LISTENING TO THE WIND TVA Experience with Installation and Operation of Ultrasonic Wind Sensors Kenneth G.
Various Methodologies for Calculating the Impacts on Delta-T From Independent Spent Fuel Storage Installations (ISFSI) Jim Holian and Steve Mirsky, SAIC.
CTIO Weather Station renewal
CTIO Weather Station renewal
Meteorological Instrumentation
Road Weather Information Systems (RWIS)
August 23, 2000 R.N. Dubois Dow Chemical
PAM Station Photo: HVAMS03
DO NOW Turn in Review #19. Pick up notes and practice sheet.
Section 4: Weather Analysis and Prediction
Weather Stations and Weather Maps
Keeping Data Recovery Levels High – Combating Fire and Ice and an Occasional Bird Mark T. Carroll Andrew J. Lotz Heather A. McDonald Jeffrey J. Daley.
Environment, Natural Resources Conservation and Tourism
New Technologies for Storage and Display of Meteorological Data
Weather forecasting –How it used to be done Traditionally weather forecasting relied upon the use of large numbers of different places in the country sending.
Jemal Mohammed WMO RA I WORKSHOP ON AUTOMATIC WEATHER STATION (AWS) NETWORKS STRENGTHNING AND MODERNIZING OBSERVING SYSTEMS IN AFRICA,
Presentation transcript:

A Dual Elevator Meteorological System at the Cooper Nuclear Station Jim Holian/Russ Southerland SAIC June 2005 NUMUG Meeting

1982 design Single sensors on 100-meter tower - WS, WD, T, Delta-T (10-, 60-, and 100-meter) Single elevator system 10-meter backup tower Precipitation on shelter roof PDP 11/34 computer system (in Plant) Existing Meteorological System (9/04)

Difficulty achieving 90% data recovery I&C delay repairing system Increased sensor/wiring failures Single point of failure – PDP 11/23 No viable independent backup system Lost data during power failures System becoming labor intensive ($$$$) Problems

Old Single Carriage

A viable, independent backup system with independent elevator system, allowing one system to be taken out of service without impacting the other. Averaging performed in the MET shelter Primary and secondary storage of digital data in the MET shelter as well as on PMIS. CNS Met Upgrade Requirements

Off-the-shelf commercial-grade equipment with the averaging software included within the unit, eliminating the need to develop and maintain software and associated quality control on the PMIS. Real-time meteorological data validation based on meteorological principles, CNS site conditions, and climatology Eliminate strip chart recorders CNS Met Upgrade Requirements

Automatic and immediate substitution of data whether a single sensor fails, is impacted by meteorological conditions, or the entire System A or B is out of service. Real-time meteorological data validation based on meteorological principles, CNS site conditions, and climatology UPS system in place to maintain power to the MET instruments during short-term station blackout CNS Met Upgrade Requirements

Systems A and B  10, 60, and 100 meter wind speed and direction  3 Delta-ts (60m-10m, 100m-10m, 100m-60m)  10, 60, and 100 meter temperatures System A only  10 meter dew point  Station Pressure  Precipitation Meteorological Parameters

System A  Climatronics F460 Wind speed and Direction Sensors  Climatronics Temperature Sensors  Tower Systems Elevator  Climatronics Dew Point Sensor  Climatronics Tipping Bucket Rain gauge with Wind Shield  Campbell Scientific 23X Micro Dataloggers  Climatronics Pressure Sensor Meteorological Equipment

System B  Met One 50.5 Sonic Wind speed and Direction Sensors  Climatronics Temperature Sensors  Tower Systems Elevator  Campbell Scientific 23X Micro Dataloggers Meteorological Equipment

Two Elevator Systems on same face (biggest design challenge) Validation without elimination Reduce false 9 out of data Include onsite conditions/climatology Dual System Design Basis

Produce a valid data set that is the “best of” Reduce manual labor Decrease maintenance costs (i.e. Sonic) Independently shut down individual sensors Dual System Design Basis (cont’d)

Detects the presence of wind direction shear between tower levels Identifies differences in the data attributable to tower interference Recognizes light and variable winds Identifies wind speed cup/threshold problems before they become obvious Site-Specific Software

Site-Specific Software (cont’d) Recognizes delta-t differences attributed to sunrise/sunset/precipitation onset Identifies aspirator trips/fluctuations Identifies problems associated with temperature/dew point/precipitation interactions Ability to turn off any sensor remotely

Tower Interference

0-3 Good data, best of both Systems A and B 4-6Requires closer review because system validation was limited or non-existent 7-8Requires intense scrutiny because data failed system validation 9Bad or missing data Validity Flags Summary

Construction/Installation Brownville, Nebraska (Sept-Oct 04) Wind, wind, and more wind!!!

Old Winch Box

Old Elevator Box

Old Rack

Dual Monitoring System Met Shelter Onsite

Dual elevator installed on same tower face Totally independent dual meteorological monitoring system System operational since 10/26/04 No problems to date – system performing as designed. Automatic data validation – (interesting comparisons between standard/sonic sensors – future NUMUG paper!) CNS Dual System Summary