HOMER Based Optimization of Solar-Wind-Diesel Hybrid System for Electrification in a Rural Village

Suresh Vendoti, M. Muralidhar, R. Kiranmayi
{"title":"HOMER Based Optimization of Solar-Wind-Diesel Hybrid System for Electrification in a Rural Village","authors":"Suresh Vendoti, M. Muralidhar, R. Kiranmayi","doi":"10.1109/ICCCI.2018.8441517","DOIUrl":null,"url":null,"abstract":"Electrification of rural and remote areas with limited or no access to grid connection is one of the most challenging issues in developing countries like India. As a result of the recent issues regarding the global climatic change and reduce fuel costs, finding out reliable, ecological friendly renewable energy sources to satisfy the rising energy demands has become important. The government of India initiated a large number of schemes for encouragement of renewable energy for power generation and to create energy options like coal, oil etc. Keeping these initiatives in mind, the present study is focused on optimization of hybrid (solar-wind-diesel) renewable energy systems in rural remote village Indiganatha in Chamarajanagar District of Karnataka State, India. The objective of the study is to minimize the total net present cost of generation and cost of energy using HOMER pro software. Sensitivity analysis is also carried out that helps to assess the effect of uncertainty or changes within the variables and finding the most optimal solution for hybrid energy system.","PeriodicalId":141663,"journal":{"name":"2018 International Conference on Computer Communication and Informatics (ICCCI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Computer Communication and Informatics (ICCCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCI.2018.8441517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

Abstract

Electrification of rural and remote areas with limited or no access to grid connection is one of the most challenging issues in developing countries like India. As a result of the recent issues regarding the global climatic change and reduce fuel costs, finding out reliable, ecological friendly renewable energy sources to satisfy the rising energy demands has become important. The government of India initiated a large number of schemes for encouragement of renewable energy for power generation and to create energy options like coal, oil etc. Keeping these initiatives in mind, the present study is focused on optimization of hybrid (solar-wind-diesel) renewable energy systems in rural remote village Indiganatha in Chamarajanagar District of Karnataka State, India. The objective of the study is to minimize the total net present cost of generation and cost of energy using HOMER pro software. Sensitivity analysis is also carried out that helps to assess the effect of uncertainty or changes within the variables and finding the most optimal solution for hybrid energy system.
基于HOMER的农村太阳能-风能-柴油混合动力系统电气化优化
在像印度这样的发展中国家,农村和偏远地区的电气化有限或没有电网连接是最具挑战性的问题之一。由于最近全球气候变化和降低燃料成本的问题,寻找可靠的、生态友好的可再生能源来满足不断增长的能源需求变得非常重要。印度政府发起了大量鼓励可再生能源发电的计划,并创造了煤炭、石油等能源选择。考虑到这些举措,目前的研究重点是在印度卡纳塔克邦查玛拉贾纳加尔区偏远农村的Indiganatha村优化混合(太阳能-风能-柴油)可再生能源系统。本研究的目的是使用HOMER pro软件使发电和能源成本的总净当前成本最小化。灵敏度分析有助于评估不确定性或变量内部变化的影响,找到混合能源系统的最优解。
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 求助全文
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