{"title":"Network Optimization Model for Evaluation of GHG Reduction on Ship Transportation","authors":"Wanaka Shinnosuke, Hiekata Kazuo, Horii Yuji","doi":"10.2534/jjasnaoe.31.205","DOIUrl":null,"url":null,"abstract":"This paper proposes a simulation model to evaluate an effectiveness of GHG reduction on ship transportation. Our model is extended INFINIT model, which is generalized multi-commodity network model and applicable for ship transportation system. The model makes it possible to evaluate the system with GHG emission, operating cost, and opportunity loss if the system’s capacity is short. Moreover, the method shows the detailed flow of ships, cargos, and fuels on the transportation network. As a case study, the method was applied for international transportation of iron ore. The case study demonstrates that the method can support decision-making by comparison of multiple scenarios to reduce GHG emission in shipping. Especially, it is useful in that it can evaluate those scenarios from the perspectives of not only transportation performance but also required bunkering infrastructures.","PeriodicalId":192323,"journal":{"name":"Journal of the Japan Society of Naval Architects and Ocean Engineers","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Japan Society of Naval Architects and Ocean Engineers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2534/jjasnaoe.31.205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper proposes a simulation model to evaluate an effectiveness of GHG reduction on ship transportation. Our model is extended INFINIT model, which is generalized multi-commodity network model and applicable for ship transportation system. The model makes it possible to evaluate the system with GHG emission, operating cost, and opportunity loss if the system’s capacity is short. Moreover, the method shows the detailed flow of ships, cargos, and fuels on the transportation network. As a case study, the method was applied for international transportation of iron ore. The case study demonstrates that the method can support decision-making by comparison of multiple scenarios to reduce GHG emission in shipping. Especially, it is useful in that it can evaluate those scenarios from the perspectives of not only transportation performance but also required bunkering infrastructures.