{"title":"Optimization Model and Algorithm for Port Shore Power Retrofitting Under “Double Carbon” Objective","authors":"Minglei Huang, Zipeng Du, Ziru Chen, Sixiao Guo","doi":"10.1109/AINIT59027.2023.10212733","DOIUrl":null,"url":null,"abstract":"As the global warming problem becomes more and more serious and the transformation of China's energy consumption structure continues to advance, the “double carbon” target has become a common choice for countries around the world to develop a low-carbon economy and cope with the climate crisis. In this context, the country has put forward the strategic deployment of peaking CO2 emissions by 2035 and striving to achieve carbon neutrality by 2060. As an important part of the transportation sector, the port industry is also facing great challenges, and we need to actively respond to the national policy and take the initiative to assume our own social responsibility. One of them is to accelerate the electrification process of existing berths and yards in port areas and promote the use of shore power technology. Based on this background, this paper studies the investment and operation mode of port shore power projects and related policy mechanisms from the perspective of port enterprises, and constructs an optimization model for port shore power renovation decision considering the demands of different interest subjects.","PeriodicalId":276778,"journal":{"name":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AINIT59027.2023.10212733","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
As the global warming problem becomes more and more serious and the transformation of China's energy consumption structure continues to advance, the “double carbon” target has become a common choice for countries around the world to develop a low-carbon economy and cope with the climate crisis. In this context, the country has put forward the strategic deployment of peaking CO2 emissions by 2035 and striving to achieve carbon neutrality by 2060. As an important part of the transportation sector, the port industry is also facing great challenges, and we need to actively respond to the national policy and take the initiative to assume our own social responsibility. One of them is to accelerate the electrification process of existing berths and yards in port areas and promote the use of shore power technology. Based on this background, this paper studies the investment and operation mode of port shore power projects and related policy mechanisms from the perspective of port enterprises, and constructs an optimization model for port shore power renovation decision considering the demands of different interest subjects.