SCI和EI收录∣中国化工学会会刊

›› 2016, Vol. 24 ›› Issue (9): 1236-1242.

• Process Systems Engineering and Process Safety • 上一篇    下一篇

Optimization of hydrogen networks with multiple impurities and impurity removal

Xuexue Jia, Guilian Liu   

  1. School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an 710049, China
  • 收稿日期:2015-06-08 修回日期:2015-12-02 出版日期:2016-09-28 发布日期:2016-11-11
  • 通讯作者: Guilian Liu,E-mail address:guilianliui@mail.xjtu.edu.cn
  • 基金资助:
    Supported by the National Natural Science Foundation of China (21276205).

Optimization of hydrogen networks with multiple impurities and impurity removal

Xuexue Jia, Guilian Liu   

  1. School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an 710049, China
  • Received:2015-06-08 Revised:2015-12-02 Online:2016-09-28 Published:2016-11-11
  • Supported by:
    Supported by the National Natural Science Foundation of China (21276205).

摘要: To explore the effect of removing different impurities to hydrogen networks, an MINLP model is proposed with all matching possibilities and the trade-off between operation cost and capital cost is considered. Furthermore, the impurity remover, hydrogen distribution, compressor and pipe setting are included in the model. Based on this model, the impurity and source(s) that are in higher priority for impurity removal, the optimal targeted concentration, and the hydrogen network with the minimum annual cost can be identified. The efficiency of the proposed model is verified by a case study.

关键词: Impurity removal, MINLP model, Optimization, Multiple impurities, Hydrogen network

Abstract: To explore the effect of removing different impurities to hydrogen networks, an MINLP model is proposed with all matching possibilities and the trade-off between operation cost and capital cost is considered. Furthermore, the impurity remover, hydrogen distribution, compressor and pipe setting are included in the model. Based on this model, the impurity and source(s) that are in higher priority for impurity removal, the optimal targeted concentration, and the hydrogen network with the minimum annual cost can be identified. The efficiency of the proposed model is verified by a case study.

Key words: Impurity removal, MINLP model, Optimization, Multiple impurities, Hydrogen network

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