Multi-objective optimization of biomass to biomethane system

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 programmi...

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Bibliographic Details
Published in:Green energy & environment 2016-07, Vol.1 (2), p.156-165
Main Authors: Yan, Nana, Ren, Baozeng, Wu, Bin, Bao, Di, Zhang, Xiangping, Wang, Jingheng
Format: Article
Language:English
Subjects:
Biomass to biomethane system
Green degree
Mixed-integer nonlinear programming
Multiobjective optimization
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Summary: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.
ISSN:2468-0257
2468-0257
DOI:10.1016/j.gee.2016.05.001