Spatial Analysis and Modelling of Wind Farm Site Suitability in Nasarawa State, North-Central Nigeria

C. Ozim, A. Nweke, Salamatu Abraham Ekpo, Olufemi Stephen Oladeinde, H. Ayuba, Udochukwu Michael Mbanaso
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Abstract

There has been an increasing global and local interest in developing renewable, clean, and cheap energy towards achieving Goal number 7 of the Sustainable Development Goals (SDG). However, decisions involving suitable and sustainable locations for renewable energy projects remain an important task. This study employed Geographic Information System (GIS) and Mul-ti-Criteria Decision Analysis (MCDA) to spatially analyze and model wind farm site suitability in Nasarawa State. The aim is to integrate the environmental, social, and economic aspects of decision-making for identifying sustainable wind farm sites. The study distinguished between two sets of decision criteria: decision constraints and decision factors. The former defined the exclusion zones while the latter were standardized based on fuzzy logic to depict varying degrees of suitability across the State. The MCDA applied the weighted linear combination method, with relative weights generated through pairwise comparisons of the analytic hierarchy process to analyze three policy scenarios: equal weights, environmental/social priority, and economic priority scenario. A combination of resulting fied and delineated. The composite decision constraint revealed that wind farm projects would not be viable in more than half (57.58%) of the State. Wind speed was the major constraint and accounted for the exclusion of 46.25%, with a mean fuzzy membership value of 0.2008 indicating low suitability across the State. Also, the average acceptable wind farm location for the three-policy scenario was 33.33% of the entire study area. Lafia, Obi, Keana, Awe, Nasarawa-Eggon, Wamba and Kokona LGAs were the identified priority Local Government Areas (LGAs). However, only Lafia, Obi, and Nasara-wa-Eggon were consistent with changes in the policy objectives. All the priority LGAs have one or more of the most suitable parcels within their administrative boundaries except for Wamba. Despite the severe limitations of wind speed, substantial parts of Nasarawa State still provide great development potentials for wind energy. The “most suitable” locations in Lafia, Nasara-wa-Eggon, and Obi LGAs should have first consideration for the development of wind energy in the State.
尼日利亚中北部纳萨拉瓦州风电场选址适宜性的空间分析与建模
全球和地方对开发可再生、清洁和廉价能源的兴趣日益浓厚,以实现可持续发展目标(SDG)的第7个目标。然而,为可再生能源项目选择合适和可持续的地点仍然是一项重要的任务。本研究采用地理信息系统(GIS)和多准则决策分析(MCDA)对纳萨罗瓦州风电场选址适宜性进行空间分析和建模。其目的是综合环境、社会和经济方面的决策,以确定可持续的风电场选址。该研究区分了两组决策标准:决策约束和决策因素。前者定义了禁区,后者基于模糊逻辑进行标准化,以描述全州不同程度的适宜性。MCDA采用加权线性组合方法,通过层次分析法两两比较生成相对权重,分析了三种政策情景:同等权重情景、环境/社会优先情景和经济优先情景。结果确定和描述的结合。综合决策约束表明,风力发电场项目在该州超过一半(57.58%)的地区不可行。风速是主要制约因素,占排除率46.25%,平均模糊隶属度为0.2008,表明全州适宜性较低。此外,在三种政策情景下,平均可接受的风电场位置占整个研究区域的33.33%。Lafia、Obi、Keana、Awe、Nasarawa-Eggon、Wamba和Kokona地方政府区被确定为优先地方政府区。然而,只有Lafia、Obi和Nasara-wa-Eggon与政策目标的变化一致。除Wamba外,所有优先地方自治政府在其行政边界内都有一个或多个最合适的包裹。尽管风速受到严重限制,但纳萨拉瓦州的大部分地区仍然为风能提供了巨大的发展潜力。拉菲亚、纳萨拉-瓦-埃贡和奥比地区的“最合适”地点应该是该州发展风能的首要考虑因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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