详细信息
On the use of risk-based Shapley values for cost sharing in interplant heat integration programs ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:On the use of risk-based Shapley values for cost sharing in interplant heat integration programs
作者:Jin, Yuhui[1];Chang, Chuei-Tin[2];Li, Shaojun[1];Jiang, Da[1]
机构:[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Natl Cheng Kung Univ, Dept Chem Engn, Tainan 70101, Taiwan
年份:2018
卷号:211
起止页码:904
外文期刊名:APPLIED ENERGY
收录:;EI(收录号:20174904496639);WOS:【SCI-EXPANDED(收录号:WOS:000425075600071)】;
基金:The first, third and fourth authors of this paper appreciate financial supports of the National Natural Science Foundation of China (No. 21406064 and No. 21676086), National Natural Science Foundation of Shanghai (14ZR1410500) and Fundamental Research Funds for the Central Universities under Grant 222201717006.
语种:英文
外文关键词:Total-site heat integration; Heat exchanger network; Cooperative game; Shapley value; Shutdown risk
摘要:The heat exchanger network (HEN) is traditionally used for optimal heat recovery in a single chemical plant, while the multi-plant counterparts have been studied in recent years primarily for the purpose of reaping additional overall energy savings. Since all these works focused primarily upon minimization of the total energy cost, the resulting interplant heat integration arrangements were often infeasible due to the fact that the individual savings are not always acceptable to all participating parties. Although a few studies addressed this cost sharing issue, the existing methodologies are still not mature enough for realistic applications. The present paper outlines a rigorous model-based two-stage procedure to handle this practical problem in the spirit of a cooperative game. The minimum total annual cost (TAC) of each and every potential coalition was first determined with a conventional MINLP model, while the core and the risk-based Shapley values of all players were then computed with explicit formulas derived in this work to settle the benefit allocation issues. A simple example is presented at the end of this paper to demonstrate the feasibility of the proposed approach.
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