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

doi:10.1016/j.cjche.2018.01.001

Chinese Journal of Chemical Engineering ›› 2018, Vol. 26 ›› Issue (10): 2084-2092.DOI: 10.1016/j.cjche.2018.01.001

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

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

Weijun Li^1,2, Jakob Kjøbsted Huusom³, Zhimao Zhou¹, Yi Nie¹, Yajing Xu¹, Xiangping Zhang^1,2

1 Beijing Key Laboratory of Ionic Liquids Clean Process, State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China;
2 Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences, Beijing 100049, China;
3 Department of Chemical & Biochemical Engineering, Technical University of Denmark, DK 2800 Kgs. Lyngby, Denmark

收稿日期:2017-10-15 修回日期:2017-12-22 出版日期:2018-10-28 发布日期:2018-11-14
通讯作者: Xiangping Zhang,E-mail address:xpzhang@ipe.ac.cn
基金资助:
Supported by the National Natural Science Fund for Distinguished Young Scholars (21425625), the National Basic Research Program of China (2013CB733506, 2015CB251403), the National Natural Science Foundation of China (U1610222), and the Beijing Hundreds of Leading Talents Training Project of Science and Technology (Z171100001117154).

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

Weijun Li^1,2, Jakob Kjøbsted Huusom³, Zhimao Zhou¹, Yi Nie¹, Yajing Xu¹, Xiangping Zhang^1,2

1 Beijing Key Laboratory of Ionic Liquids Clean Process, State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China;
2 Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences, Beijing 100049, China;
3 Department of Chemical & Biochemical Engineering, Technical University of Denmark, DK 2800 Kgs. Lyngby, Denmark

Received:2017-10-15 Revised:2017-12-22 Online:2018-10-28 Published:2018-11-14
Contact: Xiangping Zhang,E-mail address:xpzhang@ipe.ac.cn
Supported by:
Supported by the National Natural Science Fund for Distinguished Young Scholars (21425625), the National Basic Research Program of China (2013CB733506, 2015CB251403), the National Natural Science Foundation of China (U1610222), and the Beijing Hundreds of Leading Talents Training Project of Science and Technology (Z171100001117154).

摘要/Abstract

摘要： 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

Abstract: 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.

Key words: Biogas production system, MINLP, Multi-objective optimization, Non-dominated sorting genetic algorithm II, Green degree value

Weijun Li, Jakob Kjøbsted Huusom, Zhimao Zhou, Yi Nie, Yajing Xu, Xiangping Zhang. Multi-objective optimization of methane production system from biomass through anaerobic digestion[J]. Chinese Journal of Chemical Engineering, 2018, 26(10): 2084-2092.

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

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

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