A Non-Manipulated Variable Analysis of Solid-Phase Combustion in the Furnace of Municipal Solid-Waste Incineration Process Based on the Biorthogonal Numerical-Simulation Experiment

Jiakun Chen, Jian Tang (), Heng Xia, Tianzheng Wang and Bingyin Gao
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Jiakun Chen: Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
Jian Tang: Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
Heng Xia: Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
Tianzheng Wang: Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
Bingyin Gao: Beijing GaoAnTun Waste to Energy Co., Ltd., Beijing 100024, China

Sustainability, 2023, vol. 15, issue 19, 1-18

Abstract: The operating conditions of municipal solid waste incineration (MSWI) are influenced by manipulated variables, such as the feed rate, primary air, and grate speed, as well as non-manipulated variables, such as municipal solid waste (MSW) particle size, mixing coefficient, emissivity, moisture content, and the ratio of C to O. Based on the actual data of an MSWI plant in Beijing, a non-manipulated variable single-factor analysis of solid-phase combustion in the furnace was carried out based on the biorthogonal numerical simulation experiment. First, a solid-phase combustion analysis of the MSWI process was performed for non-manipulated variables, with the main non-manipulated variables determined. Then, based on FLIC 2.3c software, the numerical model was established under benchmark operating conditions. Based on the biorthogonal experiment, several groups of numerical model inputs were designed to generate mechanism data in multi-operating conditions. Finally, a multi-condition numerical simulation experiment was used to study solid-phase combustion under different conditions and analyze non-manipulated variables. The simulation results showed that the maximum solid temperature was 1360 K under the benchmark operating condition and ranged from 1120 to 1470 K under five conditions. Large-size particles and large emissivity were beneficial to solid-phase combustion, while high moisture content and a large mixing coefficient weakened combustion. The results provide support for the subsequent optimal control of the whole MSWI process.

Keywords: municipal solid waste incineration (MSWI); numerical simulation; orthogonal experimental design; multi-operating conditions; single-factor analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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