J. Esteves, Alexandre M. V. Gouveia, Nuno Pinho da Silva, Chang Liu, Bo Qu, Ping Yang
{"title":"Green Ports - Building a Shore Power Load Model for Simulation","authors":"J. Esteves, Alexandre M. V. Gouveia, Nuno Pinho da Silva, Chang Liu, Bo Qu, Ping Yang","doi":"10.1109/IPRECON55716.2022.10059514","DOIUrl":null,"url":null,"abstract":"With the ever-looming threat of global warming to all life forms, the world is putting effort to achieve carbon neutrality in order to avoid grave consequences to ecosystems worldwide. The maritime industry is part of the vectors able to influence significantly emissions of greenhouse gases. In fact, the maritime industry moves more than 80% of the World trade by volume, which makes it a large and growing source of global greenhouse gas emissions contributing to climate change. The Ships are also a source of pollution to the local communities living near the Ports due to their energy consumption when at berth. At the current date, the most common method to mitigate this problem is to provide the ships at berth electricity from shore side. This paper presents the project greenPORT, which aims to create an energy management system for a green energy Port. After a brief introduction, the state of the art and relevant standards related to shore power and green ports are discussed and then, a Port load curve model is presented. This load model, built through a statistical analysis of real data from the Port of Lisbon from the year of 2019, will form the backbone of a future green port management system.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPRECON55716.2022.10059514","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
With the ever-looming threat of global warming to all life forms, the world is putting effort to achieve carbon neutrality in order to avoid grave consequences to ecosystems worldwide. The maritime industry is part of the vectors able to influence significantly emissions of greenhouse gases. In fact, the maritime industry moves more than 80% of the World trade by volume, which makes it a large and growing source of global greenhouse gas emissions contributing to climate change. The Ships are also a source of pollution to the local communities living near the Ports due to their energy consumption when at berth. At the current date, the most common method to mitigate this problem is to provide the ships at berth electricity from shore side. This paper presents the project greenPORT, which aims to create an energy management system for a green energy Port. After a brief introduction, the state of the art and relevant standards related to shore power and green ports are discussed and then, a Port load curve model is presented. This load model, built through a statistical analysis of real data from the Port of Lisbon from the year of 2019, will form the backbone of a future green port management system.