Modeling and operational analysis of ship integrated energy system considering partial-load characteristics of equipment and transferable loads

IF 5.6 2区 工程技术 Q2 ENERGY & FUELS Sustainable Energy Grids & Networks Pub Date : 2025-06-01 Epub Date: 2025-02-11 DOI:10.1016/j.segan.2025.101651
Xiaolei Jiang , Zhen Xu , Yingchun Xie , Hao Wang , Haoxun Yuan , Jin Qin
{"title":"Modeling and operational analysis of ship integrated energy system considering partial-load characteristics of equipment and transferable loads","authors":"Xiaolei Jiang ,&nbsp;Zhen Xu ,&nbsp;Yingchun Xie ,&nbsp;Hao Wang ,&nbsp;Haoxun Yuan ,&nbsp;Jin Qin","doi":"10.1016/j.segan.2025.101651","DOIUrl":null,"url":null,"abstract":"<div><div>The rapid development of the shipping industry has brought serious energy consumption and environmental pollution issues. Efficient management of the Ship Integrated Energy System (S-IES) has become a critical necessity to promote the sustainable development of the shipping industry. Compared to onshore system, S-IES faces more complex and unstable equipment conditions and load demands, requiring more flexible and reliable system operational strategy. Energy Hub (EH) is an effective and versatile modeling method. In this study, a dynamic EH model considering partial-load characteristics of equipment and transferable loads is established. Using a cruise ship as an application case, the load scheduling schemes for different seasons are analyzed, and the results for three scenarios in each season are compared to validate the model's effectiveness. The results show that accounting for the partial-load characteristics of equipment enhances the accuracy of the system model. Introducing transferable loads improves the operational performance of the system. Compared to the scenarios considering only the partial-load characteristics of equipment, the scenarios that also include transferable loads reduce daily operating costs by 1.61 %, 1.03 %, and 2.05 %, and relatively increase the primary energy utilization rates by 1.87 %, 0.91 %, and 2.16 % in summer, mid-season, and winter, respectively.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"42 ","pages":"Article 101651"},"PeriodicalIF":5.6000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Grids & Networks","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352467725000335","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/11 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

The rapid development of the shipping industry has brought serious energy consumption and environmental pollution issues. Efficient management of the Ship Integrated Energy System (S-IES) has become a critical necessity to promote the sustainable development of the shipping industry. Compared to onshore system, S-IES faces more complex and unstable equipment conditions and load demands, requiring more flexible and reliable system operational strategy. Energy Hub (EH) is an effective and versatile modeling method. In this study, a dynamic EH model considering partial-load characteristics of equipment and transferable loads is established. Using a cruise ship as an application case, the load scheduling schemes for different seasons are analyzed, and the results for three scenarios in each season are compared to validate the model's effectiveness. The results show that accounting for the partial-load characteristics of equipment enhances the accuracy of the system model. Introducing transferable loads improves the operational performance of the system. Compared to the scenarios considering only the partial-load characteristics of equipment, the scenarios that also include transferable loads reduce daily operating costs by 1.61 %, 1.03 %, and 2.05 %, and relatively increase the primary energy utilization rates by 1.87 %, 0.91 %, and 2.16 % in summer, mid-season, and winter, respectively.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
考虑设备部分负荷特性和可转移负荷的船舶综合能源系统建模与运行分析
航运业的快速发展带来了严重的能源消耗和环境污染问题。船舶综合能源系统(S-IES)的高效管理已成为促进航运业可持续发展的关键。与陆上系统相比,S-IES面临更复杂、不稳定的设备工况和负载需求,需要更灵活、可靠的系统运行策略。能源枢纽(EH)是一种有效且通用的建模方法。本文建立了考虑设备局部负荷特性和可转移负荷的动态EH模型。以某邮轮为例,分析了不同季节的负荷调度方案,并对每个季节三种情况下的结果进行了比较,验证了模型的有效性。结果表明,考虑了设备的部分负荷特性,提高了系统模型的准确性。引入可转移负载可以提高系统的运行性能。与仅考虑设备部分负荷特性的方案相比,考虑可转移负荷的方案在夏季、中期和冬季分别降低1.61 %、1.03 %和2.05 %的日运行成本,相对提高一次能源利用率1.87 %、0.91 %和2.16 %。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
期刊最新文献
Nonparametric copula modelling of the joint probability density function of air density and wind speed for wind resource assessment A novel statistical framework for modeling active and reactive power flexibility in a balancing service provider’s distributed energy resource portfolio Spectral sensitivity and physics informed GNN-RL for real time power grid stability Interval prediction of distributed photovoltaic power integrating spatial collaborative training and data fluctuation trend perception Optimal placement of fault indicators to expedite restoration in distribution feeders
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1