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Simulation analysis of municipal solid waste pyrolysis and gasification based on Aspen plus

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Abstract

To predict and analyze the municipal solid waste (MSW) pyrolysis and gasification process in an updraft 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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Acknowledgements

The work is financially supported by the National Natural Science Foundation of China (Grant No. 51406133).

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Authors and Affiliations

  1. School of Environmental Science and Engineering, Tian** University, Tian**, 300350, China

    Na Deng, Dongyan Li, Awen Zhang, Rongchang Cai & Biting Zhang

  2. MOE Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, Tian**, 300350, China

    Na Deng

  3. Tian** University Research Institute of Architectural Design & Urban Planning, Tian**, 300072, China

    Qiang Zhang

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  1. Na Deng
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  2. Dongyan Li
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  3. Qiang Zhang
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  4. Awen Zhang
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  5. Rongchang Cai
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  6. Biting Zhang
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Correspondence to Na Deng.

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Deng, N., Li, D., Zhang, Q. et al. Simulation analysis of municipal solid waste pyrolysis and gasification based on Aspen plus. Front. Energy 13, 64–70 (2019). https://doi.org/10.1007/s11708-017-0481-7

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  • DOI: https://doi.org/10.1007/s11708-017-0481-7

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