Derivation of new emission factors for quantification of mass emissions when using optical gas imaging for detecting leaks

Journal of the Air and Waste Management Association

Volumn 57, Issue 9, 2007, Pages 1061-1070

  Lev On, Miriam ^a   Epperson, David ^b   Siegell, Jeffrey ^c   Ritter, Karin ^d  

^a LEVON Group LLC   (United States)

^b ExxonMobil Research and Engineering Company ^*

^c EXXONMOBIL UPSTREAM RESEARCH COMPANY   (United States)

^d AMERICAN PETROLEUM INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; ENVIRONMENTAL PROTECTION AGENCY; IMAGING SYSTEMS; MONTE CARLO METHODS; OPTICAL SYSTEMS; PIPING SYSTEMS;

EMISSION FACTORS; FUGITIVE EMISSIONS; MASS EMISSIONS; OPTICAL GAS IMAGING;

LEAK DETECTION;

AIR MONITORING; AIR POLLUTANT; AIR POLLUTION; ARTICLE; EXHAUST GAS; GAS; MONTE CARLO METHOD; PETROCHEMICAL INDUSTRY; POLARIMETRY; PRIORITY JOURNAL;

EID: 34748846846     PISSN: 10962247     EISSN: 21622906     Source Type: Journal    
DOI: 10.3155/1047-3289.57.9.1061     Document Type: Article

References (14)

1. Analysis of Refinery Screening Data. API Publication No. 310; American Petroleum Institute: Washington DC, 1997.
2. "Smart Control Methods May Reduce Facility-Monitoring Expenses," HP In Control, Hydrocarbon Processing, August 1999.
3. Siegell, J.H.; Taback, H.J.; McRae, T; Kulp, T.J.; Development of Smart LDAR for Fugitive Emissions Control; Valve World 2000, The Hague, The Netherlands, Paper No. 10056, November 2000.
4. Smylie, M.; Ronke, L.-B.; Robinson, D.; Harris, G.; Koonce, M.; Stone, P.; McRae, T. The Use of a Gas-Imaging Device for Detecting Fugitive Emissions in Ethylene Facilities. In Proceedings of the Air & Waste Management Association 96th Annual Conference and Exhibition; A&WMA: San Diego, CA 2003.
5. ICF Consulting. Smart Leak Detection and Repair (LDAR) for Control of Fugitive Emissions; American Petroleum Institute: Washington, DC, 2004.
6. Siegell, J.; Ritter, K.; Taback, H.; Lev-On, M. Cheaper, Faster and Smarter: Next-Generation LDAR Programs; EM 2006, 46-49.
7. Sadik, A. In Proceedings of the A&WMA Smart-LDAR Symposium at the 99th Annual Conference & Exhibition, (CD-ROM); A&WMA: New Orleans, LA, 2007.
8. Lev-On, M.; Taback, H.; Epperson, D.; Siegell, J.; Gilmer, L.; Ritter, K. Methods for Quantification of Mass Emissions from Leaking Process Equipment When Using Optical Imaging for Leak Detection, Environmental Progress, March 2006.
9. 1995 Protocol for Equipment Leak Emission Estimates; EPA-453/R-95-017; U.S. Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards: Research Triangle Park, NC, 1995.
10. Monte Carlo Simulation Approach for Evaluating Alternative Work Practices for Equipment Leak; U.S. Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards, Final Report; Research Triangle Park, NC, 1999.
11. Emission Factors for Oil and Gas Production Operations. API Publication No. 4615; American Petroleum Institute: Washington, DC, 1995.
12. American Petroleum Institute. 1993 Study of Refinery Fugitive Emissions from Equipment Leaks, Volumes I, II, and II; Radian DCN No. 93-209-081-02; Prepared by Radian Corporation for Western States Petroleum Association, Glendale, CA, and the American Petroleum Institute, Washington, DC, 1994.
13. American Petroleum Institute, Development of Fugitive Emission Factors and Emission Profiles for Petroleum Marketing Terminals, Volumes Ia nd II; API Document 4588; Prepared by Radian Corporation for American Petroleum Institute, Washington, DC, 1993.
14. Code of Federal Regulations, Title 40 Part 63 subparts H, I, R, CC, HH, TT, UU, HHH.