文献类型：期刊文献

英文题名：Optimizing the aluminum supply chain network subject to the uncertainty of carbon emissions trading market

作者：Guo, Ying[1];Zhou, Wenji[2];Ren, Hongtao[3];Yu, Yadong[2];Xu, Lei[4];Fuss, Maryegli[4]

机构：[1]Cent South Univ, Sch Energy Sci & Engn, Lushan South Rd 932, Changsha 410083, Peoples R China;[2]Renmin Univ China, Sch Appl Econ, Zhonguancun Rd 59, Beijing 100872, Peoples R China;[3]East China Univ Sci & Technol, Sch Business, Meilong Rd 130, Shanghai 200237, Peoples R China;[4]Karlsruhe Inst Technol KIT, Inst Technol Assessment & Syst Anal ITAS, Karlstr 11, D-76133 Karlsruhe, Germany

年份：2023

卷号：80

外文期刊名：RESOURCES POLICY

收录：;EI(收录号：20225313323908);WOS:【SSCI(收录号:WOS:000913810400001)】；

基金：This research was financially supported by the National Natural Science Foundation of China (No. 72274204) .

语种：英文

外文关键词：Multi-energy systems; Carbon emission market; Carbon price uncertainty; Aluminum production; Green supply chain

摘要：Aluminum production is characterized by high electricity consumption; hence its decarbonization hinges on upstream low-carbon electricity generation. As a result, the supply chain of aluminum product manufacturing can be strongly affected by the uncertainty of carbon emissions price via electricity generation. This paper in-vestigates these impacts on the strategic design and the tactic operations of the aluminum supply chain by constructing a stochastic mixed-integer linear programming (SMILP) model, in which carbon price uncertainty and demand uncertainty are both accounted for. The supply chain case in the study covers a full process from upstream power generation to end-use consumption. A variety of stochastic carbon price scenarios are designed and assessed. Sensitivity analysis with respect to demand fluctuation is also performed. The results show that carbon price uncertainty significantly affects the configuration of the whole system. The main driving forces are the supplier selection and configuration alteration triggered by the carbon price variation, whereas other metrics such as carbon emissions costs and the responses to demand fluctuations display complicated patterns of change. This study provides a useful analytical framework that can be applied to the planning problem for other in-dustries facing the same challenge.