屋顶光伏利用的技术经济分析与最佳规模:以UET Taxila为例

Muhammad Aashir Ali, Aftab Ahmad
{"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}
引用次数: 0

摘要

本研究旨在证明屋顶光伏(RTPV)的可行性,由于其技术、财务和生态优势,其能源平化成本(LCOE)较低,因此变得更加重要。粒子群优化(PSO)和光伏系统(PVsyst)两种技术被用于确定拟议的RTPV尺寸及其成本因子,同时考虑遮阳效应和环境因素。结果对比,影响了RTPV系统理想规模、经济可行性和能源效率的选择。这项特别的研究是在公共部门研究所的主校区进行的;工程技术大学(UET),位于塔克西拉。它位于巴基斯坦北部,地理位置适宜,有利于这项研究。还研究了许多其他变量,如RTPV系统的预期寿命、性能比(PR)和碳足迹减少。这使得在公营楼宇采用RTPV系统成为更合理和切实可行的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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