Bi-objective optimization of biomass supply chains considering carbon pricing policies

被引:29
|
作者
Malladi, Krishna Teja [1 ]
Sowlati, Taraneh [2 ]
机构
[1] Univ British Columbia, Dept Wood Sci, Ind Engn Res Grp, 2943-2424 Main Mall, Vancouver, BC V6T 1Z4, Canada
[2] Univ British Columbia, Dept Wood Sci, Ind Engn Res Grp, 2931-2424 Main Mall, Vancouver, BC V6T 1Z4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Carbon pricing; Multi-objective optimization; Biomass; Supply chain; Cost; Emissions; NETWORK DESIGN; MULTIOBJECTIVE OPTIMIZATION; TECHNOLOGIES; DEMAND; SYSTEM; IMPACT;
D O I
10.1016/j.apenergy.2020.114719
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Bi-objective optimization models considering carbon pricing policies are developed in this paper to obtain the trade-off between cost and emissions of biomass supply chain models, which is important for decision making. Solving bi-objective optimization models to obtain the set of trade-off solutions can be time consuming. To avoid the computational effort, in this paper, a new algorithm is developed to obtain the solutions for the bi-objective models with carbon pricing policies using the solutions of the bi-objective model without carbon pricing. The algorithm is based on mathematical properties of optimum solutions of bi-objective models with and without carbon pricing policies. These properties are proved mathematically. The developed algorithm is applied to a case study of a biomass-fed district heating system. Results indicate that the number of optimum solutions to the bi-objective models decrease when emissions are priced compared to when emissions are not priced. The increase in total cost for mitigating a given quantity of emission is more for the carbon offset model compared to the carbon tax and the carbon cap-and-trade models. Pair-wise comparison of the models indicates that the carbon tax model has more cost than the carbon cap-and-trade and the carbon offset models. The algorithm and results of this study are independent of the case study; therefore, they can be applied to other cases and industries.
引用
收藏
页数:14
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