优化阿富汗北部的风能选址:层次分析法和遗传算法的综合分析

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
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引用次数: 0

摘要

本研究利用层次分析法(AHP)和遗传算法(GA)技术评估了阿富汗不同省份的风能能力。AHP分析法采用Expert Choice软件,根据风速、坡度、高程、气候带、气压、靠近基础设施等主要指标的生命周期评价结果,得出最佳的准则权重。该研究进一步表明,由于成本和风速的影响,西北省份,即昆都士、巴尔赫、朱兹詹和法里亚布,拥有最大的大型风力发电厂潜力。总的来说,这些省份预计每年将生产约26.3千兆瓦时的可再生能源,有力地支持了阿富汗的可再生能源目标。在低的方面,像巴达赫尚省和塔哈尔省的容量较小,最适合本地和离网应用;巴达赫尚总面积为2292平方公里,面积为432平方公里;塔哈尔的面积为217.7平方公里,建设公用事业规模的风力发电场的潜力有限。然而,以其准确性而闻名的遗传算法支持AHP对巴达赫尚的结果,但对塔哈尔的适用性较低。大会明确指出昆都士的中等适宜地区和萨曼干省和巴格兰省零星的潜在水平。昆都士地区共有918平方公里是潜在的,而854平方公里是中等潜力的风能。萨尔普勒省已确定南部地区为潜在的风能来源-524平方公里。巴尔赫省和朱兹詹省共有1816平方公里,风能潜力最大,每年约14.3吉瓦时。结合估算,研究区可采收风能总量为46.6 GWh。本文的研究结果对于决策者和利益相关者选择合适的风电场开发地点、促进可持续能源议程和满足阿富汗日益增长的能源需求具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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.

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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
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