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BASIC: A Comprehensive Model for SO Formation Mechanism and Optimization in Municipal Solid Waste (MSW) Combustion.
Wenchao Ma1, Xu Liu1, Chen Ma1
1Tianjin Key Lab of Biomass Waste Utilization, School of Environmental Science and Engineering, Key Laboratory of Efficient Utilization of Low and Medium Grade Energy (Ministry of Education), Tianjin University, Tianjin 300072, China.
Predicting sulfur pollutants from municipal solid waste (MSW) incineration is crucial. This study developed a model showing initial temperature, air volume, and particle size significantly impact sulfur dioxide (SO2) formation.
Area of Science:
- Environmental Engineering
- Chemical Engineering
- Combustion Science
Background:
- Municipal solid waste (MSW) incineration is a key waste-to-energy (WTE) technology in China.
- Sulfur emissions from MSW incineration pose environmental and health risks, necessitating effective prediction and control strategies.
Purpose of the Study:
- To develop and apply a comprehensive model for investigating sulfur pollutant formation during MSW incineration.
- To analyze the impact of various operating parameters on sulfur pollutant generation and identify optimization strategies.
Main Methods:
- Coupling a comprehensive model with the Bulk Accumulated Solids Incineration Code (BASIC) to simulate the full combustion process.
- Incorporating submodels for four MSW combustion stages, conservation equations (mass, momentum, energy), and chemical reactions.
- Conducting simulation studies under diverse operating conditions to assess parameter effects.
Main Results:
- Initial temperature, primary air volume, and material particle size were identified as significant factors influencing sulfur dioxide (SO2) formation.
- Pressure was found to have a less significant effect on SO2 formation.
- The study also examined the formation of hydrogen sulfide (H2S), carbonyl sulfide (COS), and carbon disulfide (CS2).
Conclusions:
- The developed model provides insights into sulfur pollutant formation pathways in MSW incineration.
- Operational parameters can be optimized to mitigate SO2 emissions.
- Further research can build upon this model for enhanced environmental control in WTE facilities.
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