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Article Navigation >  Green Energy&Environment  > 2016  >  1(2): 156-165
Nana Yan, Baozeng Ren, Bin Wu, Di Bao, Xiangping Zhang, Jingheng Wang. Multi-objective optimization of biomass to biomethane system. Green Energy&Environment, 2016, 1(2): 156-165. doi: 10.1016/j.gee.2016.05.001
Citation: Nana Yan, Baozeng Ren, Bin Wu, Di Bao, Xiangping Zhang, Jingheng Wang. Multi-objective optimization of biomass to biomethane system. Green Energy&Environment, 2016, 1(2): 156-165. doi: 10.1016/j.gee.2016.05.001
shu

Multi-objective optimization of biomass to biomethane system

doi: 10.1016/j.gee.2016.05.001
  • a.

    State Key Laboratory of Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China

  • b.

    School of Chemical Engineering and Energy, Zhengzhou University, Zhengzhou, 450001, China

More Information
  • Corresponding author: E-mail address: xpzhang@ipe.ac.cn (Xiangping Zhang); E-mail address: woyes@sohu.com (Jingheng Wang)
  • Received date 07 March 2016, Accepted date 11 May 2016, RevRecd date 10 May 2016, Available online 20 May 2016, Publish date 31 July 2016,
    Abstract
  • The superstructure optimization of biomass to biomethane system through digestion is conducted in this work. The system encompasses biofeedstock collection and transportation, anaerobic digestion, biogas upgrading, and digestate recycling. We propose a multicriteria mixed integer nonlinear programming (MINLP) model that seeks to minimize the energy consumption and maximize the green degree and the biomethane production constrained by technology selection, mass balance, energy balance, and environmental impact. A multi-objective MINLP model is proposed and solved with a fast nondominated sorting genetic algorithm II (NSGA-II). The resulting Pareto-optimal surface reveals the trade-off among the conflicting objectives. The optimal results indicate quantitatively that higher green degree and biomethane production objectives can be obtained at the expense of destroying the performance of the energy consumption objective.

     

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