Production of α-olefins from biomass gasification: Process development and multi-objective optimization for techno-economic and environmental goals

被引:1
|
作者
Xi, Chuandong [1 ]
Fu, Kaihao [1 ]
Cao, Chenxi [2 ]
Yang, Zixu [1 ]
Han, Yi-Fan [1 ,3 ]
机构
[1] East China Univ Sci & Technol, State Key Lab Chem Engn, Shanghai 200237, Peoples R China
[2] East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China
[3] Zhengzhou Univ, Engn Res Ctr Adv Funct Mat Mfg, Minist Educ, Zhengzhou 450001, Peoples R China
来源
关键词
Process simulation; Biomass gasification; Multi-objective optimization; Heat integration; Factor analysis; GENETIC ALGORITHM; BED; SYNGAS; EQUILIBRIUM; SIMULATION; EMISSIONS; HYDROGEN; DESIGN; FUEL;
D O I
10.1016/j.ccst.2024.100203
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Efficient utilization of biomass as a substitute for fossil fuels holds great promise for meeting future greener chemical demands in a sustainable manner. This study presents a process simulation and multi-objective optimization for an innovative process of biomass-based Fischer-Tropsch synthesis of value-added linear alpha-olefins. Optimal design and operation solutions with heat-exchange network integration taken into account are obtained that minimize total annual costs (TAC), generalized energy consumption ( GEC ), greenhouse gas emissions (GHG), and maximize product yields (eta). Compared to the benchmark case, this optimization leads to a 9.93 % reduction in TAC, a 21.76 % reduction in GEC , a 19.23 % reduction in GHG, and increases eta by 1.41 %. Additionally, a comprehensive factor analysis of the optimal design and operation parameters in the Pareto front helps to discover patterns related to energy consumption, environmental impact, or economy. This allows to maximize a specific key process performance metric while minimizing the loss in the other, thus enabling flexible process design and operation under diverse manufacturing environments.
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页数:12
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