A Comparative Study of NO x Emission Characteristics in a Fuel Staging and Air Staging Combustor Fueled with Partially Cracked Ammonia

Namsu Kim, Minjung Lee, Juwon Park, Jeongje Park and Taesong Lee
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Namsu Kim: Energy Efficiency Division, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea
Minjung Lee: Energy Efficiency Division, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea
Juwon Park: Energy Efficiency Division, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea
Jeongje Park: Energy Efficiency Division, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea
Taesong Lee: Energy Efficiency Division, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea

Energies, 2022, vol. 15, issue 24, 1-15

Abstract: Recently, ammonia is emerging as a potential source of energy in power generation and industrial sectors. One of the main concerns with ammonia combustion is the large amount of NO emission. Air staging is a conventional method of reducing NO emission which is similar to the Rich-Burn, Quick-Mix, Lean-Burn (RQL) concept. In air-staged combustion, a major reduction of NO emission is based on the near zero NO emission at fuel-rich combustion of NH 3 /Air mixture. A secondary air stream is injected for the oxidation of unburned hydrogen and NH x . On the other hand, in fuel-staged combustion, NO emission is reduced by splitting NH 3 injection, which promotes the thermal DeNO x process. In this study, NO x emission characteristics of air-staged and fuel-staged combustion of partially cracked ammonia mixture are numerically investigated. First, the combustion system is modeled by a chemical reactor network of a perfectly stirred reactor and plug flow reactor with a detailed chemistry mechanism. Then, the effects of ammonia cracking, residence time, and staging scheme on NO x emission are numerically analyzed. Finally, the limitations and optimal conditions of each staging scheme are discussed.

Keywords: ammonia; staged combustion; chemical reactor network model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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