ANALYSIS OF DIFFERENT EMISSION METRICS FOR POWER GENERATION MACHINERY IN FLEXIBLE CO-GENERATION ENERGY SYSTEMS

被引:0
作者
Gossrau, Christian [1 ]
Petersen, Nils Hendrik [1 ]
Wirsum, Manfred [1 ]
机构
[1] Rhein Westfal TH Aachen, Inst Power Plant Technol Steam & Gas Turbines, Aachen, Germany
来源
PROCEEDINGS OF ASME TURBO EXPO 2023: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, GT2023, VOL 3B | 2023年
关键词
Hydrogen; Emission Metrics; Power Generation; TEMPERATURE; PERFORMANCE; AMMONIA; FLAMES; HEAT;
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
There are many different metrics used for characterizing the emission behavior of power generation units, making it difficult to compare different technologies, fuels, and cycle layouts comprehensively. The present study analyses and evaluates different metrics for emission quantification (e.g., relative, absolute, or performance-based values). Mixtures of conventional fuels (natural gas, represented by methane) and alternative, carbon-neutral fuels (hydrogen and ammonia) are compared. Different cycle adaptations of power generation systems (exhaust gas recirculation, water and steam injection) are addressed. Both NOx and CO2 emissions are investigated using a gas turbine model and a chemical reactor network for a state-of-the-art industrial gas turbine. The results show that by using common metrics (i.e., ppmvdr) the emission behavior is significantly and moderately exaggerated for H-2 and NH3, respectively. Performance-based metrics, however, are found to be most suitable for emission quantification across different fuels and cycle layouts: for example, if a standard gas turbine NOx emission limit of 15 ppmvdr is applied, lower NOx are found for fuel substitution with H-2 than with NH3. Additionally, introducing the equivalent NOx emission limit of 150 mg/kWhel for gas turbines (considering full load efficiency of 39 %) as a regulative limit enlarges the suitable hydrogen addition rate from 47 vol.% up to 60 vol.% H-2 from an emission perspective.
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页数:14
相关论文
共 43 条
[31]   Prediction of de-NOx performance using monolithic SCR catalyst under load following operation of natural gas-fired combined cycle power plants [J].
Nakamura, Kotaro ;
Muramatsu, Takehiko ;
Ogawa, Takashi ;
Nakagaki, Takao .
ENERGY, 2021, 227
[32]  
Savarese M., 2022, Towards Fast Prediction of Flame Stability and Emissions of mGT Combustion Chambers: a Chemical Reactor Network Approach, DOI [10.1115/GT2022-81963, DOI 10.1115/GT2022-81963]
[33]  
Seume, 2010, Jorg. Stationare Gasturbinen, V2, DOI [10.1007/978-3-540-92788, DOI 10.1007/978-3-540-92788]
[34]  
Sieker T., 2022, Vgbe Energy J., V7, P32
[35]  
Siemens Energy, Siemens Energy SGT-800 Industrial gas turbine
[36]   Effects of OH concentration and temperature on NO emission characteristics of turbulent non-premixed CH4/NH3/air flames in a two-stage gas turbine like combustor at high pressure [J].
Somarathne, Kapuruge Don Kunkuma Amila ;
Okafor, Ekenechukwu C. ;
Sugawara, Daiki ;
Hayakawa, Akihiro ;
Kobayashi, Hideaki .
PROCEEDINGS OF THE COMBUSTION INSTITUTE, 2021, 38 (04) :5163-5170
[37]  
Stolten D, 2016, Hydrogen science and engineering: materials, processes, systems and technologyvols, P1, DOI [10.1002/9783527674268, DOI 10.1002/9783527674268]
[38]  
Tekin Nurettin, 2019, Hydrogen Road of Kawasaki Heavy Industries-Development of Innovative Hydrogen Combustion Systems for Industrial Gas Turbines
[39]   Uncertainty of the allocation factors of heat and electricity production of combined cycle power plant [J].
Tereshchenko, Tymofii ;
Nord, Natasa .
APPLIED THERMAL ENGINEERING, 2015, 76 :410-422
[40]   Ammonia for power [J].
Valera-Medina, A. ;
Xiao, H. ;
Owen-Jones, M. ;
David, W. I. F. ;
Bowen, P. J. .
PROGRESS IN ENERGY AND COMBUSTION SCIENCE, 2018, 69 :63-102