1. School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China; MOE Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, Tianjin 300350, China 2. School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China 3. Tianjin University Research Institute of Architectural Design & Urban Planning, Tianjin 300072, China
To predict and analyze the municipal solid waste (MSW) pyrolysis and gasification process in an up-draft fixed bed more veritably and appropriately, numerical modeling based on Gibbs energy minimization was executed using the Aspen plus software. The RYield module was combined with the RGibbs module to describe the pyrolysis section, while the RGibbs module was used for the gasification section individually. The proposed model was used to forecast and analyze the target performance parameters including syngas composition, lower heating value (LHV) and carbon conversion rate under different conditions of the gasification temperatures, and ratios and types of gasifying agents. The results indicate that there is a good agreement between the experimental data and the simulated data obtained using this model. The predicted optimum gasification temperature is approximately 750°C, and the best ratio of water vapor as gasifying agent is around 0.4. The mixture of flue gas and water vapor has an economical and recycled prospect among four commonly used gasifying agents.
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HJin. Process simulation research on high-temperature gasification of biomass with steam. Dissertation for the Master Degree. Harbin: Harbin Institute of Technology, 2013 (in Chinese)
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JZheng. Experimental study on MSW fluidized-bed gasification and the optimization of prediction model. Dissertation for the Doctoral Degree. Hangzhou: Zhejiang University, 2009 (in Chinese)
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SBegum, M GRasul, DAkbar. A numerical investigation of municipal solid waste gasification using aspen plus. Procedia Engineering, 2014, 90: 710–717 https://doi.org/10.1016/j.proeng.2014.11.800
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