公用事业规模太阳能光伏电站适宜选址的地理空间评估和测绘

Q3 Social Sciences
I. Nzelibe, Daniel Damilola Ojediran, M. Moses
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引用次数: 0

摘要

地理空间和多标准决策技术应用于处理和分析数据集,以确定尼日利亚西南部翁多州阿库雷市多个公用事业规模太阳能光伏农场的合适区域。处理的数据包括当地电力分配系统数据、航天飞机雷达地形任务高程数据、Landsat 8和太阳全球水平辐照度。采用了层次分析法、重分类法和叠加法等多准则决策技术。这些技术的实施考虑了太阳能光伏农场的选址标准。本研究考虑的标准是气候、地形、经济、环境影响、操作和技术,而子标准是太阳全球水平辐照度、坡度、接近度和土地覆盖。研究结果表明:研究区总面积约3.32万ha,高度适宜、适宜、中等适宜和不适宜的面积分别为15%、8%、13%和64%。该研究揭示了研究区域内多个公用事业规模的太阳能光伏农场的潜力。然而,与在尼日利亚西北部进行的类似研究的结果相比,适合太阳能光伏农场的地区比例要低得多。该研究建议将太阳能光伏作为研究区内及周边地区的替代能源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geospatial Assessment and Mapping of Suitable Sites for a Utility-scale Solar PV Farm
Geospatial and multi-criteria decision-making techniques are applied to process and analyse datasets for determining suitable areas for multiple utilityscale solar photovoltaic farms in the city of Akure, Ondo State, southwestern Nigeria. Data processed include local electric power distribution system data, Shuttle Radar Topographic Mission elevation data, Landsat 8 and solar global horizontal irradiance. Multi-criteria decision-making techniques adopted are the analytical hierarchy process, reclassification, and overlay. These techniques were carried out considering criteria for siting solar photovoltaic farms. Criteria considered in this study are climate, topography, economic, environmental impact operational and technical while sub-criteria are solar global horizontal irradiance, slope, proximity and land cover. The outcome of the study shows that the study area covering a total extent of ~33,200 ha, 15%, 8%, 13% and 64% are highly suitable, suitable, moderately suitable, and unsuitable respectively for siting utility-scale solar photovoltaic farms within the study area. The study reveals the potential of multiple utility-scale solar photovoltaic farms in the study area. However, the proportions of areas suitable for solar photovoltaic farms are quite lower compared to findings from similar studies conducted in northwestern Nigeria. The study recommends solar photovoltaic sources as an alternative energy source in and around the study area.
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来源期刊
Geomatics and Environmental Engineering
Geomatics and Environmental Engineering Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
2.30
自引率
0.00%
发文量
27
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