基于HOMER的国家电网光伏-风力混合发电系统的优化设计:以突尼斯Kerkennah为例

M. Mallek, Mohamed Ali Elleuch, Jalel Euchi, Yacin Jerbi
{"title":"基于HOMER的国家电网光伏-风力混合发电系统的优化设计:以突尼斯Kerkennah为例","authors":"M. Mallek, Mohamed Ali Elleuch, Jalel Euchi, Yacin Jerbi","doi":"10.1109/DASA54658.2022.9765310","DOIUrl":null,"url":null,"abstract":"Renewable energy is certain to play a key role in future electricity generation due to the rapid depletion of conventional energy. Photovoltaic and wind energy are the major renewable energy sources. However, renewable energies are an inexhaustible, expensive, and unpredictable source of energy. An alternative solution is to combine one or more renewable energy with other conventional energy. In recent years, the research interest towards the utilization of hybrid energy systems in desalination plants. This paper aims to optimize several hybrid energy system models consisting of photovoltaic, wind, and the national grid in desalination plant in Tunisia. Optimization is based on the techno-economic analysis of the proposed energy system is performed by using HOMER simulation software. The simulation will be focused on the net present costs, Levelized cost of energy, produced excess electricity, the Renewable Fraction of Energy, and the reduction of CO2emission for the hybrid energy configurations. Results show that the system photovoltaic, wind, and the national grid is the best energy system installed in the desalination plant.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Optimal design of a hybrid photovoltaic–wind power system with the national grid using HOMER: A case study in Kerkennah, Tunisia\",\"authors\":\"M. Mallek, Mohamed Ali Elleuch, Jalel Euchi, Yacin Jerbi\",\"doi\":\"10.1109/DASA54658.2022.9765310\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Renewable energy is certain to play a key role in future electricity generation due to the rapid depletion of conventional energy. Photovoltaic and wind energy are the major renewable energy sources. However, renewable energies are an inexhaustible, expensive, and unpredictable source of energy. An alternative solution is to combine one or more renewable energy with other conventional energy. In recent years, the research interest towards the utilization of hybrid energy systems in desalination plants. This paper aims to optimize several hybrid energy system models consisting of photovoltaic, wind, and the national grid in desalination plant in Tunisia. Optimization is based on the techno-economic analysis of the proposed energy system is performed by using HOMER simulation software. The simulation will be focused on the net present costs, Levelized cost of energy, produced excess electricity, the Renewable Fraction of Energy, and the reduction of CO2emission for the hybrid energy configurations. Results show that the system photovoltaic, wind, and the national grid is the best energy system installed in the desalination plant.\",\"PeriodicalId\":231066,\"journal\":{\"name\":\"2022 International Conference on Decision Aid Sciences and Applications (DASA)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Decision Aid Sciences and Applications (DASA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DASA54658.2022.9765310\",\"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 International Conference on Decision Aid Sciences and Applications (DASA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DASA54658.2022.9765310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

由于传统能源的迅速枯竭,可再生能源肯定会在未来的发电中发挥关键作用。光伏和风能是主要的可再生能源。然而,可再生能源是一种取之不尽、昂贵且不可预测的能源。另一种解决方案是将一种或多种可再生能源与其他传统能源结合起来。混合能源系统在海水淡化厂的应用是近年来的研究热点。本文旨在对突尼斯海水淡化厂几种由光伏、风能和国家电网组成的混合能源系统模型进行优化。在此基础上,利用HOMER仿真软件对所提出的能源系统进行了技术经济分析。模拟将集中在净当前成本、能源平准化成本、产生的多余电力、可再生能源部分以及混合能源配置的二氧化碳排放减少。结果表明,光伏系统、风能系统和国家电网系统是海水淡化厂安装的最佳能源系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal design of a hybrid photovoltaic–wind power system with the national grid using HOMER: A case study in Kerkennah, Tunisia
Renewable energy is certain to play a key role in future electricity generation due to the rapid depletion of conventional energy. Photovoltaic and wind energy are the major renewable energy sources. However, renewable energies are an inexhaustible, expensive, and unpredictable source of energy. An alternative solution is to combine one or more renewable energy with other conventional energy. In recent years, the research interest towards the utilization of hybrid energy systems in desalination plants. This paper aims to optimize several hybrid energy system models consisting of photovoltaic, wind, and the national grid in desalination plant in Tunisia. Optimization is based on the techno-economic analysis of the proposed energy system is performed by using HOMER simulation software. The simulation will be focused on the net present costs, Levelized cost of energy, produced excess electricity, the Renewable Fraction of Energy, and the reduction of CO2emission for the hybrid energy configurations. Results show that the system photovoltaic, wind, and the national grid is the best energy system installed in the desalination plant.
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