GIS-based photovoltaic solar farms site selection using ELECTRE-TRI: Evaluating the case for Torre Pacheco, Murcia, Southeast of Spain

Sánchez-Lozano, Juan Miguel; Antunes, Carlos Henggeler; García-Cáscales, M. Socorro; Dias, Luís C.

doi:10.1016/j.renene.2013.12.038

Cited by 200 publications

(61 citation statements)

References 28 publications

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“…In order to locate solar farms in the south of Spain, Sánnchez-Lozano et al [14] determines prioritization of the candidate places via ELECTRE-TRI technique based on defined criteria and utilizing the GIS software. The evaluations have been carried out based on four criteria including environmental, location, climatology and orography.…”

Section: Literature Reviewmentioning

confidence: 99%

Land Suitability Analysis for Solar Farms Exploitation Using GIS and Fuzzy Analytic Hierarchy Process (FAHP)—A Case Study of Iran

et al. 2016

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Considering the geographical location and climatic conditions of Iran, solar energy can provide a considerable portion of the energy demand for the country. This study develops a two-step framework. In the first step, the map of unsuitable regions is extracted based on the defined constraints. In the next step, in order to identify the suitability of different regions, 11 defined criteria, including solar radiation, average annual temperatures, distance from power transmission lines, distance from major roads, distance from residential area, elevation, slope, land use, average annual cloudy days, average annual humidity and average annual dusty days, are identified. The relative weights of defined criteria and sub-criteria are also determined applying fuzzy analytical hierarchy process (FAHP) technique. Next, by overlaying these criteria layers, the final map of prioritization of different regions of Iran for exploiting solar photovoltaic (PV) plants is developed. Based on Iran's political divisions, investigation and analysis of the results have been presented for a total of 1057 districts of the country, where each district stands in one of the five defined classes of excellent, good, fair, low, and poor level. The obtained data indicate that 14.7% (237,920 km 2 ), 17.2% (278,270 km 2 ), 19.2% (311,767 km 2 ), 11.3% (183,057 km 2 ), 1.8% (30,549 km 2 ) and 35.8% (580,264 km 2 ) of Iran's area are positioned as excellent, good, fair, low, poor and unsuitable areas, respectively. Moreover, Kerman, Yazd, Fars, Sisitan and Baluchestan, Southern Khorasan and Isfahan are included in the regions as the most excellent suitable provinces for exploiting solar PV plants.

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Section: Literature Reviewmentioning

confidence: 99%

Land Suitability Analysis for Solar Farms Exploitation Using GIS and Fuzzy Analytic Hierarchy Process (FAHP)—A Case Study of Iran

et al. 2016

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“…Diesel power generation is typical of island communities 5 Touristic sites 4 --X X X X 4 Landscape designations 5 X X --X X 4 Traffic areas -X X X --3 Sand/dusk risk --X ---1 Land subsidence X -----1 Soil erosion X -----1 Pohekar and Ramachandran [23] and Wang et al [24] have reviewed a variety of methods of multi-criteria decision analysis (MCDA) used in sustainable energy planning such as site selection. Diverse techniques have been explored to assess site suitability, including the analytic hierarchy process (AHP) techniques [18,20,22], the fuzzy logic ordered weight averaging (FLOWA) model [19], the technique for order preference by similarity to an ideal solution (TOPSIS) [25], and elimination and choice translating reality (ELECTRE) method [21]. Most methods, including the FLOWA model, can employ only a monotonic linear standardization function or simple scoring technique which is most appropriate for national-scale assessment in initial stage of land planning.…”

Section: Introductionmentioning

confidence: 99%

Solar Farm Suitability Using Geographic Information System Fuzzy Sets and Analytic Hierarchy Processes: Case Study of Ulleung Island, Korea

Suh

Brownson

2016

Energies

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Solar farm suitability in remote areas will involve a multi-criteria evaluation (MCE) process, particularly well suited for the geographic information system (GIS) environment. Photovoltaic (PV) solar farm criteria were evaluated for an island-based case region having complex topographic and regulatory criteria, along with high demand for low-carbon local electricity production: Ulleung Island, Korea. Constraint variables that identified areas forbidden to PV farm development were consolidated into a single binary constraint layer (e.g., environmental regulation, ecological protection, future land use). Six factor variables were selected as influential on-site suitability within the geospatial database to seek out increased annual average power performance and reduced potential investment costs, forming new criteria layers for site suitability: solar irradiation, sunshine hours, average temperature in summer, proximity to transmission line, proximity to roads, and slope. Each factor variable was normalized via a fuzzy membership function (FMF) and parameter setting based on the local characteristics and criteria for a fixed axis PV system. Representative weighting of the relative importance for each factor variable was assigned via pairwise comparison completed by experts. A suitability index (SI) with six factor variables was derived using a weighted fuzzy summation method. Sensitivity analysis was conducted to assess four different SI based on the development scenarios (i.e., the combination of factors being considered). From the resulting map, three highly suitable regions were suggested and validated by comparison with satellite images to confirm the candidate sites for solar farm development. The GIS-MCE method proposed can also be applicable widely to other PV solar farm site selection projects with appropriate adaption for local variables.

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“…Another methodology used to the location of solar power plants is the one that gathers the concepts of GIS and the Analytic Hierarchy Process (AHP) method for the identification of suitable sites [13][14][15][16][17][18][19]. Basically, the methods are elaborated for the creation of an environmental decision support system for the installation of large solar photovoltaic power plants.…”

Section: Optimal Location Of Thermal or Phovoltaic Solar Power Stationsmentioning

confidence: 99%

Location Study of Solar Thermal Power Plant in the State of Pernambuco Using Geoprocessing Technologies and Multiple-Criteria Analysis

2017

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Solar Thermal Technology for the generation of electricity in large scale has been a reality in the world since the 1980s, when the first large-sized solar plants in the United States were introduced. Brazil presents great potential for the development of large-scale projects, although it is noted that the main barriers for the insertion of this technology in Brazilian market are the lack of incentives and goals and associated costs. In a way to contribute to the insertion of solar thermal technology in Brazil, this paper presents a macro-spatial approach, based on the use of Multiple-Criteria Decision Analysis and Geoprocessing, for the location of solar thermal power plants. The applied methodology for Pernambuco, located in the Northeast Region of Brazil, considered the implantation of parabolic trough solar power plant of 80 MW, operating only in solar mode, without heat storage. Based on performed analysis, it was confirmed that Pernambuco presents great potential for the installation of solar power plants, especially in the backlands of Pernambuco. Performed validations in the model demonstrate that the methodology attended the objective once the consistence between the assigned weights to the thematic layers, individually, and the final Map of site suitability were evidenced.

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GIS-based photovoltaic solar farms site selection using ELECTRE-TRI: Evaluating the case for Torre Pacheco, Murcia, Southeast of Spain

Cited by 200 publications

References 28 publications

Land Suitability Analysis for Solar Farms Exploitation Using GIS and Fuzzy Analytic Hierarchy Process (FAHP)—A Case Study of Iran

Land Suitability Analysis for Solar Farms Exploitation Using GIS and Fuzzy Analytic Hierarchy Process (FAHP)—A Case Study of Iran

Solar Farm Suitability Using Geographic Information System Fuzzy Sets and Analytic Hierarchy Processes: Case Study of Ulleung Island, Korea

Location Study of Solar Thermal Power Plant in the State of Pernambuco Using Geoprocessing Technologies and Multiple-Criteria Analysis

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