Regression-based comparative analysis of pollutants in biogas and natural-gas-blend combustion outputs
by Nicholas Bonse; Asfaw Beyene
International Journal of Global Warming (IJGW), Vol. 25, No. 2, 2021

Abstract: In this work, we compare the combustion pollutants produced from biogas and their fossil fuel counterpart, natural gas, to determine optimum combustion conditions. The study was broken up into pollutant classification, combustion model selection, and regression model analysis. Pollutants are evaluated based on global warming potential, local air quality standards, and effective heat transfer to determine optimum combustion conditions. Four pollutants, carbon dioxide, nitrous oxide, nitrogen oxide, and carbon monoxide are evaluated. For the combustion model, a perfectly stirred Chemkin reactor with kinetic pathways created by the CRECK Polimi Database was selected. The results made it clear that there is no combustion condition in which all the pollutants can be minimised, mainly because the carbon monoxide levels rebound as the combustion temperature falls. However, the study did determine that reducing the combustion temperature and the relative methane content of the fuel - air mixture results in lower pollutant outputs.

Online publication date: Sat, 23-Oct-2021

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