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Determining a Backup Source of Meteorological Data for Dispersion Characteristics (Wind and Stability) Mark T. Carroll Heather A. McDonald Andrew J. Lotz.

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Presentation on theme: "Determining a Backup Source of Meteorological Data for Dispersion Characteristics (Wind and Stability) Mark T. Carroll Heather A. McDonald Andrew J. Lotz."— Presentation transcript:

1 Determining a Backup Source of Meteorological Data for Dispersion Characteristics (Wind and Stability) Mark T. Carroll Heather A. McDonald Andrew J. Lotz

2 Background Clinton Power Station Primary Met Tower- 60m tower approximately 0.5 miles SSE of plant reactor building Backup Met Tower- Approximately 0.3 miles NE of plant. Measuring only wind at 10m 2

3 Primary Met Tower Instrument Locations Measurement Sensor Type Location Elevation Wind Speed Climatronics 100075 F460 Tower 10&60 m Wind Direction Climatronics 100076 F460 Tower 10&60 m Ambient Temp Climatronics 100093 Tower 10&60 m Sigma Theta Calculated Tower 10&60 m Differential Temp Climatronics 100093 Tower 60 m Dew Point Temp Climatronics 1001197 Tower 10 m Precipitation MRI 302 Tipping Bucket Ground 3 ft 3

4 Backup Met Tower Instrument Locations Measurement Sensor Type Elevation Wind Speed Met One 1564B 10 m Wind Direction Met One 1565C 10 m Sigma Theta Calculated 10 m 4

5 Primary Tower Sigma Theta- Hourly value calculated by taking the Root-Mean-Square (RMS) of the four quarter-hour wind sigma values. 5

6 Study/Evaluation The Clinton Power Station sought relief to a previous commitment to regulatory quality by seeking the elimination of the back-up meteorological monitoring tower. 6

7 Study/Evaluation It was determined that four (4) criteria would be required before Clinton could convince the NRC that it was acceptable to delete the function of the back-up tower. 7

8 Study/Evaluation 1. The primary meteorological monitoring tower would have to be evaluated to determine that it is being maintained and calibrated in accordance with ANSI standards. Also, the data retrieved would be proven to be valid and representative of current conditions at the time. 8

9 Study/Evaluation 2. Arrangements need to be in place and personnel on shift trained to be able to quickly retrieve a source of backup meteorological data. 9

10 Study/Evaluation 3. A statistical study or evaluation would need to be done proving the backup source of meteorological data (National Weather Service data from Lincoln, Bloomington, Decatur and Champaign) is representative of the dispersion meteorology of the 10 miles Emergency Preparedness Zone (EPZ). 10

11 Study/Evaluation 11 4. The change must be shown not to decrease the effectiveness of the Emergency Plan.

12 Study/Evaluation Nuclear Regulatory Commission Regulatory Guide 1.23, Revision 1, dated March 2007 states that “Meteorological instruments should be inspected and serviced at a frequency that will insure data recovery of at least 90 percent on an annual basis. The 90-percent rate applies to the composite of all variables (e.g., the joint frequency distribution of wind speed, wind direction, stability class) needed to model atmospheric dispersion for each potential release pathway.” 12

13 Study/Evaluation #1 Valid Data Recovery Parameter 2005 20062007 10 m Wind Speed 98.5% 99.6%99.7% 10 m Wind Direction 98.6% 99.0%99.7% 60-10 m Temp (Delta-T) 99.5% 99.3%99.0% Joint Frequency 97.4% 98.7%99.0% 13

14 Study/Evaluation #2 Shift personnel to be trained at site by CPS and M&T. 14

15 Study/Evaluation #3 Statistical Study Hourly meteorological data for the years 2005 and 2006 were obtained for the following locations: 1. Clinton Power Station, Clinton, IL 2. Central Illinois Regional Airport, Bloomington, IL 3. Decatur Airport, Decatur, IL 4. Logan County Airport, Lincoln, IL 5. University of Illinois, Willard Airport, Champaign, IL 6. Braidwood Power Station, Braidwood, Braceville, IL 7. Dresden Nuclear Power Station, Morris, IL 8. LaSalle County Nuclear Power Station, Marseilles, IL 15

16 Study/Evaluation Distance From/To (miles) ClintonBloomington22.1 ClintonDecatur23.5 ClintonLincoln28.0 ClintonChampaign29.1 ClintonLaSalle74.3 ClintonBraidwood80.4 ClintonDresden88.4 16

17 MAP 17

18 Study/Evaluation The following are the heights of measurement of the change of temperature with height for each of the nuclear facilities: Lower Level Upper Level Difference Clinton 10.0m (32.81 ft) 60m (197 ft) 50.0m (164 ft) Braidwood9.15m (30 ft) 61.915m (203 ft) 53.765m (173 ft) Dresden (Mid)10.675m (35 ft) 45.75m (150 ft) 35.075m (125 ft) Dresden (Upper)10.675m (35 ft) 91.50m (300 ft) 80.825m (265 ft) LaSalle (Mid)10.065m (33 ft) 61.00m (200 ft) 50.935m (167 ft) LaSalle (Upper)10.065m (33 ft) 114.375m (375 ft) 104.31m (342 ft) 18

19 Study/Evaluation 19 The following are the conversions for the above towers to convert the change in temperature with height (in Fahrenheit and feet) to the Lapse Rate in degrees Celsius per 100 meters: Clinton: 2 X.5555 = 1.111 Braidwood:1.895 X.5555 = 1.053 Dresden (Mid):2.851 X.5555 = 1.584 Dresden (Upper):1.237 X.5555 = 0.687 LaSalle (Mid):1.963 X.5555 = 1.090 LaSalle (Upper):1.043 X.5555 = 0.533

20 Study/Evaluation 20 Clinton Atmospheric Stability Classes Differential Differential Temperature Temperature IntervalInterval (in °F over the Class (in ° C/100m) 60-10 m interval) Extremely Unstable ΔT < ‑ 1.9 ΔT < ‑ 1.8 Moderately Unstable ‑ 1.9 <ΔT < ‑ 1.7 ‑ 1.8 <ΔT < ‑ 1.6 Slightly Unstable ‑ 1.7 <ΔT < ‑ 1.5 ‑ 1.6 <ΔT < ‑ 1.4 Neutral ‑ 1.5 <ΔT < ‑ 0.5 ‑ 1.4 <ΔT < ‑ 0.5 Slightly Stable ‑ 0.5 <ΔT <1.5 ‑ 0.5 <ΔT <1.3 Moderately Stable1.5 <ΔT <4.01.3 <ΔT <3.7 Extremely Stable 4.0 < ΔT 3.7 < ΔT

21 Study/Evaluation CLASSIFICATION OF ATMOSPHERIC STABILITY BY SIGMA THETA StabilityPasquillSigma Theta ClassificationCategories(degrees) ------------------------------------------ Extremely unstable ASigma >=22.5 Moderately unstable B22.5>Sigma>=17.5 Slightly unstable C17.5>Sigma>=12.5 Neutral D12.5>Sigma>=7.5 Slightly stable E7.5>Sigma>=3.8 Moderately stable F3.8>Sigma>=2.1 Extremely stable G2.1>Sigma Found in Table 3 of the Proposed Revision 1 to NRC Regulatory Guide 1.23, dated September, 1980 21

22 Study/Evaluation Airport Data 22

23 Study/Evaluation Seasons were broken out as follows: Winter – December, January, February Spring – March, April, May Summer – June, July, August Fall – September, October, November 23

24 Study/Evaluation 24 Daytime by Season: Winter – 8 a.m. to 4 p.m. Spring – 6 a.m. to 6 a.m. Summer – 6 a.m. to 8 p.m. Fall – 6 a.m. to 5 p.m.

25 Study/Evaluation Wind Direction Classes IF348.75° { "@context": "http://schema.org", "@type": "ImageObject", "contentUrl": "http://images.slideplayer.com/12/3436872/slides/slide_25.jpg", "name": "Study/Evaluation Wind Direction Classes IF348.75°

26 26 Study/Evaluation CLINTON’S CURRENT STBILITY CLASS DETERMINATION IN AN EMERGENCY: In the event of an emergency at the Clinton Power Station, the following priority list is used by the facility to determine the atmospheric stability: 1. Primary Meteorological Monitoring Tower (determined from Delta T) 2. Back-up Meteorological Monitoring Tower (determined from Sigma Theta) 3. National Weather Service – Lincoln, Illinois 4. Dresden Nuclear Power Station 5. Local Airports 6. Meteorological Consultants

27 27 Results Stability Class Comparison:

28 28 Site Stability Classes Equal Stability Within One Class Stability Within Two Classes Braidwood Delta-T57.50%89.60%96.80% Dresden Lower Delta-T55.50%87.80%95.70% Dresden Upper Delta-T59.20%88.80%97.20% LaSalle Lower Delta-T46.30%81.90%95.50% LaSalle Upper Delta-T50.30%82.00%94.30% Clinton Lower Sigma Safety Guide 2333.30%76.10%89.60% Clinton Lower Sigma RG 1.23 Proposed Rev 133.90%73.60%89.10% Clinton Upper Sigma Safety Guide 2334.90%81.60%90.60% Clinton Upper Sigma RG 1.23 Proposed Rev 143.20%82.20%92.60% Decatur Wind Speed & Cloud Cover34.60%66.10%85.80% Champaign Wind Speed & Cloud Cover35.30%66.10%87.70% Results

29 29 Results

30 30 Results Average Wind Direction by Sector In Percent Frequency ClintonBraidwoodDresdenBloomingtonDecaturChampaignLincoln N9.9510.0910.2410.259.327.979.35 NE12.3511.2110.869.519.7911.016.8 E8.3310.6812.017.68.049.715.71 SE10.338.98.398.626.839.437.94 S21.9316.0718.3319.6818.6719.7721 SW10.4511.0210.6112.6613.4210.836.48 W13.4318.1315.8411.9411.5213.6910.29 NW12.911.3312.2310.7712.7610.6610.79 CALM0.312.551.458.999.656.9421.62

31 31 Results

32 32 Results

33 33 Results Ranking According To Percentage of Occurrence When Compared To Clinton Direction Braidwood Dresden Bloomington Champaign Decatur Lincoln N 1 2 3 6 5 4 NE 1 3 5 2 4 6 E 4 6 2 3 1 5 SE 2 4 3 1 6 5 S 6 5 3 2 4 1 SW 3 1 4 2 5 6 W 6 4 2 1 3 5 NW 3 2 5 6 1 4 Calm 2 1 4 3 5 6 Total 28 28 31 26 34 42 Rank T-2 T-2 4 1 5 6 Wind Speed Rank 4 2 5 3 1 6 Sum of Ranks 6 4 9 4 6 12 Final Wind Ranking T-3 T-1 5 T-1 T-3 6

34 34 Conclusion In the event of an emergency at the Clinton Power Station, the following should be used in order of preference in order to estimate wind speed, wind direction and stability (atmospheric dispersion): 1.Clinton Primary Meteorological Monitoring Tower (utilizing stability class based upon delta T plus wind speed and wind direction) 2.Dresden stability class plus the Champaign wind speed and wind direction. 3.Dresden Meteorological Monitoring Tower (utilizing the upper level stability class based upon delta T first, then the middle level stability class if upper level is not available plus wind speed and wind direction from 10 meters) 4.Braidwood Meteorological Monitoring Tower (utilizing stability class based upon delta T plus wind speed and wind direction from 10 meters) 5.Meteorological Consulting (private meteorologist or National Weather Service) 6.Clinton Back-up Meteorological Monitoring Tower (utilizing wind speed, wind direction and sigma theta to determine stability) 7.LaSalle Meteorological Monitoring Tower (utilizing the upper level stability class based upon delta T first then the middle level stability class if the upper level is not available plus wind speed and wind direction from 10 meters) 8.Champaign utilizing wind speed, wind direction and cloud cover 9.Decatur utilizing wind speed, wind direction and cloud cover 10.Bloomington utilizing wind speed, wind direction and cloud cover 11.Lincoln utilizing wind speed, wind direction and cloud cover

35 Questions ? Thank You 35


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