A LITERATURE REVIEW OF NOX EMISSIONS IN CURRENT AND FUTURE STATE-OF-THEART GAS TURBINES

被引:0
|
作者
Dennis, Richard [1 ]
Long, Henry A., III [1 ]
Jesionowski, Gary [1 ]
机构
[1] US DOE, Natl Energy Technol Lab, Pittsburgh, PA 20585 USA
关键词
Hydrogen; NOX Emissions; Gas Turbine; Combustor; Catalytic Reduction; R&D; OXY-FUEL COMBUSTION; REDUCTION;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Current U.S. government policy seeks to achieve a completely carbon- free economy by 2050, with a carbon-free electricity sector by 2035 (per executive orders #14008 and #14057). To address these goals, the U.S. Department of Energy is evaluating strategies and technologies that support the production, utilization, transport, and storage of hydrogen (via initiatives such as DOE's Energy Earthshot - Hydrogen and various DOE funding opportunity announcements). A carbonfree fuel such as hydrogen cannot be overvalued in a dynamic electric energy sector seeking to decarbonize. One of the most important technologies needed to achieve the goal of a carbon-free electricity sector is a 100% hydrogen-fueled gas turbine. Accommodating hydrogen-based fuels has been a key goal for various original engine manufacturers (OEMs) for many years, but much more research and development (R&D) is needed. The purpose of this paper is to highlight the current state-of-the-art of hydrogen turbine technology, especially regarding nitrogen oxide (NOX) emissions compared to natural gas-fueled turbines. NOX is the primary criteria pollutant from thermally-driven combustion turbines and should be controlled to levels that are equivalent to or below existing standards (as reported "existing standards" for hydrogen-fueled gas turbines may need to be re-baselined). This paper will provide an overview of hydrogen as a fuel and various NOX emissions control techniques that are relevant for hydrogen-based fuels. A conclusion from this overview is that, with some level of R&D, NOX emissions from hydrogen-fueled gas turbines can be controlled to levels similar to those produced by state-of-the-art natural gas-fueled combustion turbines while remaining competitive in terms of performance and efficiency.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] A Literature Review of NOx Emissions in Current and Future State-of-the-Art Gas Turbines
    Dennis, Richard
    Long, Henry A., III
    Jesionowski, Gary
    JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2024, 146 (03):
  • [2] NOX EMISSIONS BY GAS-TURBINES
    PFEIFFER, R
    ERDOL & KOHLE ERDGAS PETROCHEMIE, 1987, 40 (07): : 316 - 317
  • [3] A reactor network model for predicting NOx emissions in gas turbines
    Fichet, Vincent
    Kanniche, Mohamed
    Plion, Pierre
    Gicquel, Olivier
    FUEL, 2010, 89 (09) : 2202 - 2210
  • [4] A novel approach to predicting NOX emissions from dry low emissions gas turbines
    Syed, Khawar J.
    Roden, Kirsten
    Martin, Peter
    JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2007, 129 (03): : 672 - 679
  • [5] A novel approach to predicting NOx emissions from dry low emissions gas turbines
    Syed, Khawar J.
    Roden, Kirsten
    Martin, Peter
    Proceedings of the ASME Turbo Expo 2006, Vol 1, 2006, : 271 - 280
  • [6] WATER FUEL EMULSIONS TO REDUCE NOX EMISSIONS OF GAS-TURBINES
    MOLIERE, M
    COLAS, M
    FREIMARK, M
    REVUE GENERALE DE THERMIQUE, 1989, 28 (330-31): : 428 - 435
  • [7] PREDICTING NOX EMISSIONS IN GAS TURBINES USING FINITE RATE APPROACH
    Patwardhan, Saurabh
    Nakod, Pravin
    Orsino, Stefano
    Yadav, Rakesh
    Xu, Fang
    Brandt, Dustin
    PROCEEDINGS OF ASME TURBO EXPO 2022: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, GT2022, VOL 3B, 2022,
  • [8] Combustion technology for low emissions gas turbines: Selected phenomena beyond NOx
    Correa, SM
    Dean, AJ
    Hu, IZ
    JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, 1996, 118 (03): : 193 - 200
  • [9] Most effective combustion technologies for reducing Nox emissions in aero gas turbines
    Ommi, Fathollah
    Azimi, Mohammadreza
    INTERNATIONAL JOURNAL OF MULTIPHYSICS, 2012, 6 (04) : 417 - 423
  • [10] A Data-Driven Approach to Predict NOx-Emissions of Gas Turbines
    Cuccu, Giuseppe
    Danafar, Somayeh
    Cudre-Mauroux, Philippe
    Gassner, Martin
    Bernero, Stefano
    Kryszczuk, Krzysztof
    2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2017, : 1283 - 1288