Using Simulation Modelling for Designing Optimal Strategies of Fuel Mix to Comply for SOx and NOx Emission Standards in Industrial Boilers

Abstract

SOx and NOx emissions originating from the combustion of fuels during the operation of industrial boilers are one of the primary contributors to regional and local air pollution, which have major effects on human well-being and ecosystems. As governmental bodies attempt to regulate and enforce emission norms, the industries operating the boilers are presented with an opportunity to optimise their fuel mix configurations to achieve a reduction in SOx, NOx, and CO2 emissions while ensuring the financial sustainability of plant operations. In this study, a System Dynamic simulation model is constructed from the perspective of an individual plant to facilitate the analysis of SOx, NOx, and CO2 emissions and the expenditure incurred through energy use and pollution control systems under different fuel-mix configurations, market conditions, and policy scenarios. The model facilitates the identification of alternative fuel-mix configurations to replace existing single-fuel firing systems while also reducing both emissions and expenditure. To demonstrate the model, exemplar data based on prevalent market and policy conditions in India are used to identify alternative fuel-mixes for typical 40TPH boiler. The experiments additionally highlight the significance of having an appropriate penalty or tax on emissions to foster compliance with emission norms in the industry without adversely impacting their financial sustainability.