The Maritime Emission Trading System (METS) is an efficient market based measure to reduce ship emissions. The research issue on how to determine ship emission permit allocation for (liner) shipping companies has not been addressed in the previous studies on the METS. For this purpose, this paper investigates the allocation of initial ship CO2 emission permits for any liner shipping company, by making use of the index allocation method. Furthermore, this paper addresses the reallocation of ship CO2 emission permits to various ship routes. To deal with the ship CO2 emission permit reallocation problem, we propose a joint optimization of fleet size, sailing paths, ship speeds and the reallocation of ship CO2 emission permits. To formulate this joint optimization problem, we proposed a mixed-integer linear programming (MILP) model, which can be solved by using CPLEX efficiently. Numerical experiments are carried out to account for the effectiveness of our proposed model.
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Univ Seville, Escuela Super Ingn, Dept Ind Management, Seville 41092, SpainUniv Seville, Escuela Super Ingn, Dept Ind Management, Seville 41092, Spain
Lozano, S.
Villa, G.
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Univ Seville, Escuela Super Ingn, Dept Ind Management, Seville 41092, SpainUniv Seville, Escuela Super Ingn, Dept Ind Management, Seville 41092, Spain
Villa, G.
Braennlund, R.
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Umea Univ, Dept Econ, SE-90187 Umea, SwedenUniv Seville, Escuela Super Ingn, Dept Ind Management, Seville 41092, Spain
机构:
Shanghai Univ, Sch Management, Shanghai, Peoples R ChinaShanghai Univ, Sch Management, Shanghai, Peoples R China
Fan, Lixian
Luo, Meifeng
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Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R ChinaShanghai Univ, Sch Management, Shanghai, Peoples R China
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Shanghai Univ, Sch Management, Shanghai 200444, Peoples R ChinaShanghai Univ, Sch Management, Shanghai 200444, Peoples R China
Wang, Tingsong
Meng, Qiang
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Natl Univ Singapore, Dept Civil & Environm Engn, Singapore 117576, SingaporeShanghai Univ, Sch Management, Shanghai 200444, Peoples R China
Meng, Qiang
Tian, Xuecheng
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Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Hong Kong 999077, Peoples R ChinaShanghai Univ, Sch Management, Shanghai 200444, Peoples R China