Optimising Wind Energy Site Selection in Northern Afghanistan: An Integrated Analysis of Analytical Hierarchy Process and Genetic Algorithms

IF 2.6 4区 工程技术 Q3 ENERGY & FUELS
Abdul Baser Qasimi, Areej Al Bahir, Ara Toomanian, Vahid issazade, Najmeh Neysani Samany
{"title":"Optimising Wind Energy Site Selection in Northern Afghanistan: An Integrated Analysis of Analytical Hierarchy Process and Genetic Algorithms","authors":"Abdul Baser Qasimi,&nbsp;Areej Al Bahir,&nbsp;Ara Toomanian,&nbsp;Vahid issazade,&nbsp;Najmeh Neysani Samany","doi":"10.1049/rpg2.70032","DOIUrl":null,"url":null,"abstract":"<p>The present work evaluates wind energy capabilities in different provinces in Afghanistan using analytical hierarchy process (AHP) and genetic algorithms (GA) techniques. AHP analysis used Expert Choice software to achieve the best criterion weights according to life cycle assessment results involving major criteria such as wind speed, slope, elevation, climate zone, air pressure and vicinity to infrastructure. The study further shows that the northwestern provinces, namely Kunduz, Balkh, Jawzjan, and Faryab, have the greatest potential in large wind power plants because of cost influences and wind speed. Altogether, these provinces would be expected to produce roughly 26.3 GWh of renewable energy per year, strongly supporting Afghanistan's renewable energy goals. On the low side, provinces like Badakhshan and Takhar have small sizing capacity with maximum suitability for localised and off-grid applications; Badakhshan has an area of 432 km<sup>2</sup> within a total of 2292 km<sup>2</sup>; Takhar has 217.7 km<sup>2</sup> and has limited potential for utility-scale connected wind farms. However, the GA method, which is known for its accuracy, supports the AHP result for Badakhshan but depicts lower suitability for Takhar. The GA unequivocally points out Kunduz medium-suitable areas and sporadic potentiality levels in Samangan and Baghlan Province. A total of 918 km<sup>2</sup> of the Kunduz area is potential, while 854 km<sup>2</sup> are moderately potential for wind energy. The province of Sar-e-Pul has identified the Southern region as a potential wind energy source-524 km<sup>2</sup>. In total, 1816 km<sup>2</sup> provinces of Balkh and Jawzjan together have the largest wind energy potential of about 14.3 GWh per annum. Combined with the estimate, the total harvestable wind energy in the study area is 46.6 GWh. The results of this paper are important for policymakers and stakeholders to select appropriate sites for wind farm development, promote the sustainable energy agenda, and meet the increasing energy demands in Afghanistan.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70032","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Renewable Power Generation","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/rpg2.70032","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

The present work evaluates wind energy capabilities in different provinces in Afghanistan using analytical hierarchy process (AHP) and genetic algorithms (GA) techniques. AHP analysis used Expert Choice software to achieve the best criterion weights according to life cycle assessment results involving major criteria such as wind speed, slope, elevation, climate zone, air pressure and vicinity to infrastructure. The study further shows that the northwestern provinces, namely Kunduz, Balkh, Jawzjan, and Faryab, have the greatest potential in large wind power plants because of cost influences and wind speed. Altogether, these provinces would be expected to produce roughly 26.3 GWh of renewable energy per year, strongly supporting Afghanistan's renewable energy goals. On the low side, provinces like Badakhshan and Takhar have small sizing capacity with maximum suitability for localised and off-grid applications; Badakhshan has an area of 432 km2 within a total of 2292 km2; Takhar has 217.7 km2 and has limited potential for utility-scale connected wind farms. However, the GA method, which is known for its accuracy, supports the AHP result for Badakhshan but depicts lower suitability for Takhar. The GA unequivocally points out Kunduz medium-suitable areas and sporadic potentiality levels in Samangan and Baghlan Province. A total of 918 km2 of the Kunduz area is potential, while 854 km2 are moderately potential for wind energy. The province of Sar-e-Pul has identified the Southern region as a potential wind energy source-524 km2. In total, 1816 km2 provinces of Balkh and Jawzjan together have the largest wind energy potential of about 14.3 GWh per annum. Combined with the estimate, the total harvestable wind energy in the study area is 46.6 GWh. The results of this paper are important for policymakers and stakeholders to select appropriate sites for wind farm development, promote the sustainable energy agenda, and meet the increasing energy demands in Afghanistan.

Abstract Image

求助全文
约1分钟内获得全文 求助全文
来源期刊
IET Renewable Power Generation
IET Renewable Power Generation 工程技术-工程:电子与电气
CiteScore
6.80
自引率
11.50%
发文量
268
审稿时长
6.6 months
期刊介绍: IET Renewable Power Generation (RPG) brings together the topics of renewable energy technology, power generation and systems integration, with techno-economic issues. All renewable energy generation technologies are within the scope of the journal. Specific technology areas covered by the journal include: Wind power technology and systems Photovoltaics Solar thermal power generation Geothermal energy Fuel cells Wave power Marine current energy Biomass conversion and power generation What differentiates RPG from technology specific journals is a concern with power generation and how the characteristics of the different renewable sources affect electrical power conversion, including power electronic design, integration in to power systems, and techno-economic issues. Other technologies that have a direct role in sustainable power generation such as fuel cells and energy storage are also covered, as are system control approaches such as demand side management, which facilitate the integration of renewable sources into power systems, both large and small. The journal provides a forum for the presentation of new research, development and applications of renewable power generation. Demonstrations and experimentally based research are particularly valued, and modelling studies should as far as possible be validated so as to give confidence that the models are representative of real-world behavior. Research that explores issues where the characteristics of the renewable energy source and their control impact on the power conversion is welcome. Papers covering the wider areas of power system control and operation, including scheduling and protection that are central to the challenge of renewable power integration are particularly encouraged. The journal is technology focused covering design, demonstration, modelling and analysis, but papers covering techno-economic issues are also of interest. Papers presenting new modelling and theory are welcome but this must be relevant to real power systems and power generation. Most papers are expected to include significant novelty of approach or application that has general applicability, and where appropriate include experimental results. Critical reviews of relevant topics are also invited and these would be expected to be comprehensive and fully referenced. Current Special Issue. Call for papers: Power Quality and Protection in Renewable Energy Systems and Microgrids - https://digital-library.theiet.org/files/IET_RPG_CFP_PQPRESM.pdf Energy and Rail/Road Transportation Integrated Development - https://digital-library.theiet.org/files/IET_RPG_CFP_ERTID.pdf
×
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