低排放船舶动力系统与替代燃料的能效与成本优化比较研究

Petter S. Sletten, M. Zadeh
{"title":"低排放船舶动力系统与替代燃料的能效与成本优化比较研究","authors":"Petter S. Sletten, M. Zadeh","doi":"10.1109/itec53557.2022.9813749","DOIUrl":null,"url":null,"abstract":"Marine hybrid power systems fed by so-called \"alternative fuels\" are key enablers to reducing greenhouse gas emissions from ship propulsion and reaching international targets, particularly for large vessels. In this paper, a few scenarios of green propulsion are studied based on low-emission energy carriers, marine batteries, and all-electric power architecture. A cost model is proposed to optimise the power system via minimising the fuel consumption and hence, the operational expenses (OPEX). The proposed cost model includes the different types of fuels and a battery cycling and battery energy dissipation term. The result is an optimal energy management system (EMS) based on mixed-integer linear programming (MILP) formulation that is tuned for alternative fuel. The optimised EMS is tested on a commercial LNG vessel, and it enables a more stable use of generators. However, as the paper reveals, optimised control strategies will not yield practical results in reaching international emission targets. Hence, alternative fuels will be pivotal in reducing emissions from shipping.","PeriodicalId":275570,"journal":{"name":"2022 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative study of energy efficiency and cost optimization in low-emission marine power systems with alternative fuels\",\"authors\":\"Petter S. Sletten, M. Zadeh\",\"doi\":\"10.1109/itec53557.2022.9813749\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Marine hybrid power systems fed by so-called \\\"alternative fuels\\\" are key enablers to reducing greenhouse gas emissions from ship propulsion and reaching international targets, particularly for large vessels. In this paper, a few scenarios of green propulsion are studied based on low-emission energy carriers, marine batteries, and all-electric power architecture. A cost model is proposed to optimise the power system via minimising the fuel consumption and hence, the operational expenses (OPEX). The proposed cost model includes the different types of fuels and a battery cycling and battery energy dissipation term. The result is an optimal energy management system (EMS) based on mixed-integer linear programming (MILP) formulation that is tuned for alternative fuel. The optimised EMS is tested on a commercial LNG vessel, and it enables a more stable use of generators. However, as the paper reveals, optimised control strategies will not yield practical results in reaching international emission targets. Hence, alternative fuels will be pivotal in reducing emissions from shipping.\",\"PeriodicalId\":275570,\"journal\":{\"name\":\"2022 IEEE Transportation Electrification Conference & Expo (ITEC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Transportation Electrification Conference & Expo (ITEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/itec53557.2022.9813749\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Transportation Electrification Conference & Expo (ITEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/itec53557.2022.9813749","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

由所谓的“替代燃料”提供动力的船用混合动力系统是减少船舶推进过程中温室气体排放、实现国际目标(尤其是大型船舶)的关键推动力。本文研究了基于低排放能量载体、船用电池和全电动动力结构的几种绿色推进方案。提出了一个成本模型,通过最小化燃料消耗来优化电力系统,从而减少运营费用(OPEX)。所提出的成本模型包括不同类型的燃料以及电池循环和电池能量耗散期。结果是基于混合整数线性规划(MILP)公式的最优能源管理系统(EMS),该系统对替代燃料进行了调整。优化后的EMS在一艘商用液化天然气船上进行了测试,它可以更稳定地使用发电机。然而,正如论文所揭示的那样,优化的控制策略在实现国际排放目标方面不会产生实际结果。因此,替代燃料将在减少航运排放方面发挥关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative study of energy efficiency and cost optimization in low-emission marine power systems with alternative fuels
Marine hybrid power systems fed by so-called "alternative fuels" are key enablers to reducing greenhouse gas emissions from ship propulsion and reaching international targets, particularly for large vessels. In this paper, a few scenarios of green propulsion are studied based on low-emission energy carriers, marine batteries, and all-electric power architecture. A cost model is proposed to optimise the power system via minimising the fuel consumption and hence, the operational expenses (OPEX). The proposed cost model includes the different types of fuels and a battery cycling and battery energy dissipation term. The result is an optimal energy management system (EMS) based on mixed-integer linear programming (MILP) formulation that is tuned for alternative fuel. The optimised EMS is tested on a commercial LNG vessel, and it enables a more stable use of generators. However, as the paper reveals, optimised control strategies will not yield practical results in reaching international emission targets. Hence, alternative fuels will be pivotal in reducing emissions from shipping.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信