K. Haleema, Sruthi Kumari Juluri, S. Pooja Sree, Praneeth Karnekota, K. Murugaperumal
{"title":"城市住宅社区负荷混合可再生电力系统可持续设计","authors":"K. Haleema, Sruthi Kumari Juluri, S. Pooja Sree, Praneeth Karnekota, K. Murugaperumal","doi":"10.1109/INCET57972.2023.10170125","DOIUrl":null,"url":null,"abstract":"The sustainable energy crisis is the primary social challenge in the Modern civilization. Global warming and the fast-exacting fossil fuels lead the energy generations from alternative renewable resources such as solar, wind, biomass, tidal etc. The main intention of our study is to design and develop to a hybrid renewable electrification system for urban residential community load. The proposed configuration of the HRE system consider of solar Photovoltaic, vertical wind turbine, biomass and gen-set including a battery storage system and bidirectional converter to meet the urban apartment load smoothly and economically. The optimized techno economical model will be designed through NREL’s Hybrid Optimization if Multiple Energy Resources, and the feasibility and comparative analysis will enrich its performance. The proposed system's outcome is expected to fulfil the sustainable goals of high renewable factors and the least net cost of the HRE system with environmental carbon credits. Plan of action includes the following steps: 1) Site resources analysis 2) Energy demand analysis 3) Energy generation technologies analysis 4) Hybrid renewable model construction 5) Optimal techno economic analysis 6) Feasibility report of the cost effective HRE configuration for urban community load.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"460 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sustainable Designing of Hybrid Renewable Electrification System for Urban Residential Community Load\",\"authors\":\"K. Haleema, Sruthi Kumari Juluri, S. Pooja Sree, Praneeth Karnekota, K. Murugaperumal\",\"doi\":\"10.1109/INCET57972.2023.10170125\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The sustainable energy crisis is the primary social challenge in the Modern civilization. Global warming and the fast-exacting fossil fuels lead the energy generations from alternative renewable resources such as solar, wind, biomass, tidal etc. The main intention of our study is to design and develop to a hybrid renewable electrification system for urban residential community load. The proposed configuration of the HRE system consider of solar Photovoltaic, vertical wind turbine, biomass and gen-set including a battery storage system and bidirectional converter to meet the urban apartment load smoothly and economically. The optimized techno economical model will be designed through NREL’s Hybrid Optimization if Multiple Energy Resources, and the feasibility and comparative analysis will enrich its performance. The proposed system's outcome is expected to fulfil the sustainable goals of high renewable factors and the least net cost of the HRE system with environmental carbon credits. Plan of action includes the following steps: 1) Site resources analysis 2) Energy demand analysis 3) Energy generation technologies analysis 4) Hybrid renewable model construction 5) Optimal techno economic analysis 6) Feasibility report of the cost effective HRE configuration for urban community load.\",\"PeriodicalId\":403008,\"journal\":{\"name\":\"2023 4th International Conference for Emerging Technology (INCET)\",\"volume\":\"460 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 4th International Conference for Emerging Technology (INCET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INCET57972.2023.10170125\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 4th International Conference for Emerging Technology (INCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INCET57972.2023.10170125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sustainable Designing of Hybrid Renewable Electrification System for Urban Residential Community Load
The sustainable energy crisis is the primary social challenge in the Modern civilization. Global warming and the fast-exacting fossil fuels lead the energy generations from alternative renewable resources such as solar, wind, biomass, tidal etc. The main intention of our study is to design and develop to a hybrid renewable electrification system for urban residential community load. The proposed configuration of the HRE system consider of solar Photovoltaic, vertical wind turbine, biomass and gen-set including a battery storage system and bidirectional converter to meet the urban apartment load smoothly and economically. The optimized techno economical model will be designed through NREL’s Hybrid Optimization if Multiple Energy Resources, and the feasibility and comparative analysis will enrich its performance. The proposed system's outcome is expected to fulfil the sustainable goals of high renewable factors and the least net cost of the HRE system with environmental carbon credits. Plan of action includes the following steps: 1) Site resources analysis 2) Energy demand analysis 3) Energy generation technologies analysis 4) Hybrid renewable model construction 5) Optimal techno economic analysis 6) Feasibility report of the cost effective HRE configuration for urban community load.