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Multi-objective optimization of methane production system from biomass through anaerobic digestion

Chinese Journal of Chemical Engineering 2018年第10期26卷 2084-2092页

作者： Weijun Li Jakob Kj?bsted Huusom Zhimao Zhou Yi Nie Yajing Xu Xiangping Zhang Beijing Key Laboratory of Ionic Liquids Clean Process State Key Laboratory of Multiphase Complex Systems Institute of Process Engineering Chinese Academy of Sciences Sino-Danish Center for Education and Research University of Chinese Academy of Sciences Department of Chemical & Biochemical Engineering Technical University of Denmark

This work addressed the multi-objective optimization of a biogas production system considering both environmental and economic criteria. A mixed integer non-linear programming(MINLP) model was established and solved with non-dominated sorting genetic algorithm Ⅱ, from which the Pareto fronts, the optimal technology combinations and operation conditions were obtained and analyzed. It's found that the system is feasible in both environmental and economic considerations after optimization. The most expensive processing section is decarbonization; the most expensive equipment is anaerobic digester; the most power-consuming processing section is digestion, followed by decarbonization and waste management. The positive green degree value on the process is attributed to processing section of digestion and waste management. 3:1 chicken feces and corn straw, solar energy, pressure swing adsorption and 3:1 chicken feces and rice straw, solar energy, pressure swing adsorption are turned out to be two robust technology combinations under different prices of methane and electricity by sensitivity analysis. The optimization results provide support for optimal design and operation of biogas production system considering environmental and economic objectives.

关键词： biogas production system MINLP Multi-objective optimization Non-dominated sorting genetic algorithm Ⅱ Green degree value

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