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基于 GIS 的加权叠置模型在斯里兰卡的风力和太阳能农场选址中的应用。

GIS-based weighted overlay model for wind and solar farm locating in Sri Lanka.

机构信息

Department of Forestry and Environmental Science, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.

Institute for Sustainable Industries & Liveable Cities, College of Engineering and Science, Victoria University, Melbourne, Australia.

出版信息

Environ Sci Pollut Res Int. 2023 Sep;30(44):98947-98965. doi: 10.1007/s11356-022-24595-0. Epub 2022 Dec 23.

Abstract

With regard to wind and solar energy, research has shown a clear discrepancy between the amount of energy currently being used with the existing potential. The present research has attempted to develop a geographic information systems (GIS) based weighted overlay model to identify potential locations for the development of wind and solar farms in Sri Lanka, which are rapidly advancing renewable energy resources globally. Four major land-use types were considered for the model development as least productive land areas to establish wind and solar farms, namely, barren lands, sand areas, open forests, and scrublands. Nine and seven criteria were identified for the wind and solar farm siting respectively, and the relative weights for each criterion were obtained through focused group discussions. The weighted overlay model was used to locate suitable areas and higher the values generally indicate that a location is more suitable. The outcome of the weighted overlay model shows that for the wind farm locating, 141 km of highly suitable lands available accounts for 3% of the total land area of Sri Lanka. Furthermore, the model results indicated a total area of 99 km as highly suitable for solar power generation. Central, Sabaragamuwa, Uva, and Northern provinces were found to be the most suitable for wind farm locating and Eastern, Southern, and Northern provinces we identified as highly suitable for the solar farm locating. The model validation performed by overlaying the results with the existing solar and wind farm map of Sri Lanka indicated that the highly suitable, moderately suitable, and marginally suitable lands identified by the weighted overlay lied within 1 km radius of the existing wind and solar power plants. Thus, it can be concluded that GIS-based weighted overlay model can serve as a primary screening tool to shortlist the optimum land areas to locate future solar and wind farms in any selected geographical location.

摘要

关于风能和太阳能,研究表明,目前的能源使用量与现有潜力之间存在明显差异。本研究试图开发一种基于地理信息系统(GIS)的加权叠加模型,以确定斯里兰卡开发风力和太阳能农场的潜在地点,因为这些地区在全球范围内正在迅速推进可再生能源的发展。为了开发该模型,考虑了四种主要的土地利用类型,作为建立风力和太阳能农场的最不发达地区,分别是荒地、沙地、开阔森林和灌木丛。分别为风力和太阳能农场选址确定了 9 个和 7 个标准,通过焦点小组讨论获得了每个标准的相对权重。加权叠加模型用于定位合适的区域,值越高通常表示该位置更合适。加权叠加模型的结果表明,对于风力发电场的选址,有 141 公里的高度适宜土地,占斯里兰卡总面积的 3%。此外,该模型结果表明,总共有 99 公里的土地非常适合太阳能发电。中央省、萨巴拉加穆瓦省、乌瓦省和北部省被认为是最适合风力发电场选址的地区,而东部省、南部省和北部省则被确定为最适合太阳能发电场选址的地区。通过将结果与斯里兰卡现有的太阳能和风电场地图进行叠加来验证模型,发现加权叠加确定的高度适宜、中度适宜和边缘适宜土地在现有风力和太阳能发电厂 1 公里半径范围内。因此,可以得出结论,基于 GIS 的加权叠加模型可以作为一种初步筛选工具,用于在任何选定的地理位置筛选出未来太阳能和风电场的最佳土地。

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