Abstract

Optimizing the location of wind and photovoltaic solar power plants is a significant environmental management problem. The effectiveness of the site selection process for renewable energy systems (RES) could be strengthened by flexible spatial and environmental planning strategies using decision support systems (DSS) to critically identify the most productive, environmentally friendly and acceptable sites for the production of sustainable and reliable wind and solar energy. This study discusses hybrid DSS, using multi-criteria evaluation based on the analytical hierarchy process (AHP), a geographical information system (GIS), fuzzy logic, and a weighted linear combination (WLC) approach to determine optimal locations for renewable energy generation infrastructure. In the first stage, the most decisive factors for evaluating the site suitability were identified, based on experts’ opinions. Next, raster layers of ecological and socioeconomic sub-criteria were prepared GIS software. After incorporating the raster maps of each parameter, fuzzy membership functions were applied to normalize each raster layer between 0 and 1. The relative weights of different indicators were calculated using super decision software. Prioritizing vital elements were performed using AHP. In the final stage, the WLC approach was utilized to amalgamate layers in the GIS environment, which afforded the final site suitability maps. In Isfahan Province, Iran, 26% of the land area was found to be highly suitable for solar farms with 18% being highly suitable for wind farms. The results illustrate that using and comparing the results from combinations of computer-based DSS are more likely to result in better decisions than using individual DSS tools for the determination of the most suitable sites for RES location.

Graphic abstract

中文翻译：

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伊朗伊斯法罕省风能和太阳能农场选址的决策支持工具

摘要

优化风能和光伏太阳能发电厂的位置是一个重大的环境管理问题。灵活的空间和环境规划策略可以使用决策支持系统（DSS）来关键性地确定生产效率高，环境友好和可接受的地点，以生产可持续和可靠的能源，从而提高可再生能源系统（RES）的选址过程的有效性。风能和太阳能。这项研究讨论了混合DSS，它使用基于层次分析法（AHP），地理信息系统（GIS），模糊逻辑和加权线性组合（WLC）方法的多标准评估来确定可再生能源发电基础设施的最佳位置。在第一阶段 根据专家的意见，确定了评估场地适用性的最决定性因素。接下来，准备了生态和社会经济子标准的栅格层的GIS软件。合并每个参数的栅格图后，应用模糊隶属函数对0和1之间的每个栅格图层进行归一化。使用超级决策软件计算不同指标的相对权重。使用AHP对重要元素进行优先排序。在最后阶段，使用WLC方法合并GIS环境中的图层，从而提供了最终的站点适用性图。在伊朗伊斯法罕省，发现26％的土地面积非常适合太阳能发电场，而18％的土地面积非常适合风力发电场。

图形摘要