Parametric modeling of exhaust gas emission from natural gas fired gas turbines
Increased focus on air pollution from gas turbines in the Norwegian sector of the North Sea has resulted in taxes on CO{sub 2}. Statements made by the Norwegian authorities imply regulations and/or taxes on NO{sub x} emissions in the near future. The existing CO{sub 2} tax of NOK 0.82/Sm{sup 3} (US Dollars 0.12/Sm{sup 3}) and possible future tax on NO{sub x} are analyzed mainly with respect to operating and maintenance costs for the gas turbine. Depending on actual tax levels, the machine should be operated on full load/optimum thermal efficiency or part load to reduce specific exhaust emissions. Based on field measurements, exhaust emissions (CO{sub 2}, CO, NO{sub x}, N{sub 2}O, UHC, etc.) are established with respect to load and gas turbine performance, including performance degradation. Different NO{sub x} emission correlations are analyzed based on test results, and a proposed prediction model presented. The impact of machinery performance degradation on emission levels is particularly analyzed. Good agreement is achieved between measured and predicted NO{sub x} emissions from the proposed correlation. To achieve continuous exhaust emission control, the proposed NO{sub x} model is implemented to the on-line condition monitoring system on the Sleipner A platform, rather than introducing sensitive emission sensors in the exhaust gas stack. The on-line condition monitoring system forms an important tool in detecting machinery condition/degradation and air pollution, and achieving optimum energy conservation.
- Sponsoring Organization:
- USDOE
- OSTI ID:
- 372189
- Report Number(s):
- CONF-950629-; ISSN 0742-4795; TRN: IM9641%%266
- Journal Information:
- Journal of Engineering for Gas Turbines and Power, Vol. 118, Issue 3; Conference: 40. International gas turbine and aeroengine congress and exposition, Houston, TX (United States), 5-8 Jun 1995; Other Information: PBD: Jul 1996
- Country of Publication:
- United States
- Language:
- English
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