考虑现场依赖可再生能源的巴基斯坦排放约束发电扩张规划

Abdul Haseeb, M. M. Ashraf, A. Arshad
{"title":"考虑现场依赖可再生能源的巴基斯坦排放约束发电扩张规划","authors":"Abdul Haseeb, M. M. Ashraf, A. Arshad","doi":"10.1109/ICEPT58859.2023.10152338","DOIUrl":null,"url":null,"abstract":"The electric power industry has placed a high priority on reducing carbon emissions to mitigate their negative impact on the environment and to promote cost-effectiveness. To achieve this goal, the industry is increasingly integrating renewable energy sources, such as solar and wind power, into its expansion planning. However, the effectiveness of these sources varies considerably depending on the location. To minimize carbon emissions and costs, a study was conducted to develop a framework to solve the emission-constrained generation expansion problem using the GAMS optimization tool. This model incorporated a site dependent exploration of renewable energy sources, specifically solar and wind power potential of Pakistan. The study compared the carbon emission results with the base case that did not consider the site dependent Renewable Energy Sources and found that incorporating site-specific Renewable Energy Sources significantly reduced carbon emissions. The research highlights the importance of site-specific selection of renewable energy sources to ensure efficient deployment of renewable energy sources across different locations. It also provides valuable insights into the potential of renewable energy sources to reduce carbon emissions in the electrical power industry. By prioritizing site-specific renewable energy sources, power system planners can effectively incorporate renewable energy sources into their expansion plans to reduce carbon emissions. Exploring Pakistan's renewable potential, as recommended by this study, can reduce the country's reliance on imported fossil fuels for energy generation.","PeriodicalId":350869,"journal":{"name":"2023 International Conference on Emerging Power Technologies (ICEPT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Emission Constrained Generation Expansion Planning considering Site-dependent Renewable Energy Sources of Pakistan\",\"authors\":\"Abdul Haseeb, M. M. Ashraf, A. Arshad\",\"doi\":\"10.1109/ICEPT58859.2023.10152338\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The electric power industry has placed a high priority on reducing carbon emissions to mitigate their negative impact on the environment and to promote cost-effectiveness. To achieve this goal, the industry is increasingly integrating renewable energy sources, such as solar and wind power, into its expansion planning. However, the effectiveness of these sources varies considerably depending on the location. To minimize carbon emissions and costs, a study was conducted to develop a framework to solve the emission-constrained generation expansion problem using the GAMS optimization tool. This model incorporated a site dependent exploration of renewable energy sources, specifically solar and wind power potential of Pakistan. The study compared the carbon emission results with the base case that did not consider the site dependent Renewable Energy Sources and found that incorporating site-specific Renewable Energy Sources significantly reduced carbon emissions. The research highlights the importance of site-specific selection of renewable energy sources to ensure efficient deployment of renewable energy sources across different locations. It also provides valuable insights into the potential of renewable energy sources to reduce carbon emissions in the electrical power industry. By prioritizing site-specific renewable energy sources, power system planners can effectively incorporate renewable energy sources into their expansion plans to reduce carbon emissions. Exploring Pakistan's renewable potential, as recommended by this study, can reduce the country's reliance on imported fossil fuels for energy generation.\",\"PeriodicalId\":350869,\"journal\":{\"name\":\"2023 International Conference on Emerging Power Technologies (ICEPT)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Emerging Power Technologies (ICEPT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEPT58859.2023.10152338\",\"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 Emerging Power Technologies (ICEPT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEPT58859.2023.10152338","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

电力行业高度重视减少碳排放,以减轻其对环境的负面影响,并提高成本效益。为了实现这一目标,该行业越来越多地将太阳能和风能等可再生能源纳入其扩张计划。然而,这些辐射源的有效性因地点而异。为了最大限度地减少碳排放和成本,研究了利用GAMS优化工具开发一个框架来解决排放约束下的发电扩展问题。该模式结合了对巴基斯坦可再生能源,特别是太阳能和风能潜力的现场勘探。该研究将碳排放结果与不考虑地点相关可再生能源的基本情况进行了比较,发现纳入特定地点的可再生能源显著减少了碳排放。该研究强调了根据具体地点选择可再生能源的重要性,以确保可再生能源在不同地点的有效部署。它还为可再生能源在减少电力行业碳排放方面的潜力提供了宝贵的见解。通过优先考虑特定地点的可再生能源,电力系统规划者可以有效地将可再生能源纳入其扩展计划,以减少碳排放。正如本研究建议的那样,探索巴基斯坦的可再生能源潜力,可以减少该国对进口化石燃料发电的依赖。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Emission Constrained Generation Expansion Planning considering Site-dependent Renewable Energy Sources of Pakistan
The electric power industry has placed a high priority on reducing carbon emissions to mitigate their negative impact on the environment and to promote cost-effectiveness. To achieve this goal, the industry is increasingly integrating renewable energy sources, such as solar and wind power, into its expansion planning. However, the effectiveness of these sources varies considerably depending on the location. To minimize carbon emissions and costs, a study was conducted to develop a framework to solve the emission-constrained generation expansion problem using the GAMS optimization tool. This model incorporated a site dependent exploration of renewable energy sources, specifically solar and wind power potential of Pakistan. The study compared the carbon emission results with the base case that did not consider the site dependent Renewable Energy Sources and found that incorporating site-specific Renewable Energy Sources significantly reduced carbon emissions. The research highlights the importance of site-specific selection of renewable energy sources to ensure efficient deployment of renewable energy sources across different locations. It also provides valuable insights into the potential of renewable energy sources to reduce carbon emissions in the electrical power industry. By prioritizing site-specific renewable energy sources, power system planners can effectively incorporate renewable energy sources into their expansion plans to reduce carbon emissions. Exploring Pakistan's renewable potential, as recommended by this study, can reduce the country's reliance on imported fossil fuels for energy generation.
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
期刊最新文献
Performance Evaluation of the Flat Plate Solar Air Collector Assisted Desiccant Dehumidification System Design of Double Closed-Loop Boost Converter Controller to Reduce Transient Voltage Dip for Sudden Load Connection Optimization of Non-Toxic Inorganic CsSnGeI3 Perovskite Solar Cell with TiO2 and CNTS Charge Transport Layers using SCAPS-1D Supervisor Control of Power System for Stability Problems and Improvements Using Computer Control Technology A Series Resonant Network based Boost Converter
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1