<p>Carbon monoxide is a hazardous pollutant whose emissions are escalating due to the rising reliance on fossil fuels to satisfy energy demands. This study explores strategies to mitigate carbon monoxide emissions by incorporating additives “hydrogen, ammonia, and water vapor” into natural gas MILD combustion processes. Various concentrations of these additives were systematically introduced into the combustion mixture. The Taguchi method optimized the additive combinations, utilizing an L<sub>16</sub> orthogonal array for numerical simulations. The combustion analysis used an Eddy Dissipation Concept model and a new chemical mechanism integrating GRI 2.11 and ammonia combustion kinetics. The study also incorporated radiation effects, simulated via the Discrete Ordinates model. Results demonstrate a significant reduction in carbon monoxide emissions attributable to the additive interventions. Furthermore, the effectiveness of each additive was assessed through analysis of variance. It was revealed that ammonia exerted the most substantial impact in lowering carbon monoxide emissions. The potential of this approach in reducing harmful emissions has been demonstrated.</p>

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Mitigating carbon monoxide emissions in natural gas MILD combustion: analyzing the impact of additives through Taguchi optimization

  • N. Firooznia,
  • C. Aghanajafi

摘要

Carbon monoxide is a hazardous pollutant whose emissions are escalating due to the rising reliance on fossil fuels to satisfy energy demands. This study explores strategies to mitigate carbon monoxide emissions by incorporating additives “hydrogen, ammonia, and water vapor” into natural gas MILD combustion processes. Various concentrations of these additives were systematically introduced into the combustion mixture. The Taguchi method optimized the additive combinations, utilizing an L16 orthogonal array for numerical simulations. The combustion analysis used an Eddy Dissipation Concept model and a new chemical mechanism integrating GRI 2.11 and ammonia combustion kinetics. The study also incorporated radiation effects, simulated via the Discrete Ordinates model. Results demonstrate a significant reduction in carbon monoxide emissions attributable to the additive interventions. Furthermore, the effectiveness of each additive was assessed through analysis of variance. It was revealed that ammonia exerted the most substantial impact in lowering carbon monoxide emissions. The potential of this approach in reducing harmful emissions has been demonstrated.