Decision support tools for wind and solar farm site selection in Isfahan Province, Iran
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ORIGINAL PAPER
Decision support tools for wind and solar farm site selection in Isfahan Province, Iran Mojtaba Barzehkar1 · Kevin E. Parnell1,2 · Naghmeh Mobarghaee Dinan3 · Graham Brodie4 Received: 25 July 2020 / Accepted: 27 October 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
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.
* Mojtaba Barzehkar [email protected] 1
Department of Cybernetics, School of Science, Tallinn University of Technology, Tallinn, Estonia
2
College of Science and Engineering, James Cook University, Townsville, Australia
3
Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran
4
Faculty of Agricultural Sciences, Melbourne University, Melbourne, Australia
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Vol.:(0123456789)
M. Barzehkar et al.
Graphic abstract Identification of Factor Layers Preparation of Raster Layers
Fuzzy Standardization
Factor Weighting
Fuzzy Membership Functions (FMF)
Analytical Hierarchy Process (AHP)
Multi-Criteria Evaluation (MCE)
Aggregation of Factors using Geographical Information System (GIS)
Suitability Map derived from Weighted Linear Combination (WLC)
Keywords Solar energy · Wind energy · Renewable energy · Isfahan Province, Iran
Introduction Human communities have been s
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