{"title":"屋顶光伏利用的技术经济分析与最佳规模:以UET Taxila为例","authors":"Muhammad Aashir Ali, Aftab Ahmad","doi":"10.1109/ICEPECC57281.2023.10209402","DOIUrl":null,"url":null,"abstract":"This study intends to demonstrate the feasibility of Rooftop Photovoltaics (RTPV), which have become somewhat more significant due to technological, financial and ecological advantages, with lower levelized cost of energy (LCOE). Two techniques, Particle Swarm Optimization (PSO) and Photovoltaic System (PVsyst) have been used to determine the proposed RTPV size and its cost factor while accounting for shading effects and environmental factors. Results are contrasted, which influence the choice of the ideal system size, economic viability and energy efficiency for the RTPV system. This particular study was carried out at the main campus of the public sector institute; University of Engineering & Technology (UET), located in Taxila. Its befitting location is beneficial for the study as it is situated in the northern Pakistan. Numerous other variables, such as the RTPV system’s life expectancy, performance ratio (PR), and carbon footprint reduction, are also investigated. These make adoption of RTPV systems for public sector buildings more rational and practicable choice.","PeriodicalId":102289,"journal":{"name":"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)","volume":"8 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Techno-Economic Analysis & Optimal Sizing for Rooftop Photovoltaics Utilizability: A Case Study for UET Taxila\",\"authors\":\"Muhammad Aashir Ali, Aftab Ahmad\",\"doi\":\"10.1109/ICEPECC57281.2023.10209402\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study intends to demonstrate the feasibility of Rooftop Photovoltaics (RTPV), which have become somewhat more significant due to technological, financial and ecological advantages, with lower levelized cost of energy (LCOE). Two techniques, Particle Swarm Optimization (PSO) and Photovoltaic System (PVsyst) have been used to determine the proposed RTPV size and its cost factor while accounting for shading effects and environmental factors. Results are contrasted, which influence the choice of the ideal system size, economic viability and energy efficiency for the RTPV system. This particular study was carried out at the main campus of the public sector institute; University of Engineering & Technology (UET), located in Taxila. Its befitting location is beneficial for the study as it is situated in the northern Pakistan. Numerous other variables, such as the RTPV system’s life expectancy, performance ratio (PR), and carbon footprint reduction, are also investigated. These make adoption of RTPV systems for public sector buildings more rational and practicable choice.\",\"PeriodicalId\":102289,\"journal\":{\"name\":\"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)\",\"volume\":\"8 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEPECC57281.2023.10209402\",\"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 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEPECC57281.2023.10209402","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Techno-Economic Analysis & Optimal Sizing for Rooftop Photovoltaics Utilizability: A Case Study for UET Taxila
This study intends to demonstrate the feasibility of Rooftop Photovoltaics (RTPV), which have become somewhat more significant due to technological, financial and ecological advantages, with lower levelized cost of energy (LCOE). Two techniques, Particle Swarm Optimization (PSO) and Photovoltaic System (PVsyst) have been used to determine the proposed RTPV size and its cost factor while accounting for shading effects and environmental factors. Results are contrasted, which influence the choice of the ideal system size, economic viability and energy efficiency for the RTPV system. This particular study was carried out at the main campus of the public sector institute; University of Engineering & Technology (UET), located in Taxila. Its befitting location is beneficial for the study as it is situated in the northern Pakistan. Numerous other variables, such as the RTPV system’s life expectancy, performance ratio (PR), and carbon footprint reduction, are also investigated. These make adoption of RTPV systems for public sector buildings more rational and practicable choice.