LUMPED KINETIC MODELLING OF CO-COMBUSTION OF RICE STRAW AND HIGH ASH COAL

Abstract

The co-combustion of rice straw and coal has emerged as a promising approach for power generation in thermal power plants, driven by the need to reduce greenhouse gas emissions and mitigate environmental impacts. This study aims to investigate the interaction between rice straw and Indian high ash coal during combustion, with a focus on understanding how this interaction can lead to reduced tar formation and greenhouse gas emissions. The computational study involved blending rice straw with Indian high ash coal in varying ratios to determine the optimal blend that would result in lower greenhouse gas emissions and tar formation, while still generating the desired power output. The combustion behaviour and product generation characteristics were generated by solving detailed lumped model using MATLAB. The findings of this study revealed significant synergistic effects between rice straw and coal during co-combustion. The addition of rice straw to the coal blend altered the combustion kinetics, which in turn influenced the temperature distribution and residence time of volatile compounds. Consequently, the co-combustion of rice straw and coal led to a notable reduction in tar formation and a decline in greenhouse gas emissions, particularly carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O). Moreover, the investigation provided valuable insights into the optimal blend ratio required to achieve the desired power output with minimal greenhouse gas emissions and tar formation. The study elucidated the trade-off between the rice straw content in the blend and the overall power generation efficiency, guiding power plant operators and policymakers in making informed decisions for sustainable energy production.