Territorial planning for photovoltaic power plants using an outranking approach and GIS

Marques-Perez, Inmaculada; Guaita-Pradas, Inmaculada; Gallego, Aurea; Segura, Baldomero

doi:10.1016/j.jclepro.2020.120602

Cited by 57 publications

(28 citation statements)

References 36 publications

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“…Many criteria such as environmental, economic, technical, social, and risk factors were considered in 25 cities by using a GIS map of the country. Moreover, Marques-Perez et al [26] studied photovoltaic power plant site selection by applying PROMETHEE and AHP methods with a GIS-based approach in Spain. Furthermore, Ekmekçioglu et al [27] proposed a SWOT analysis model and then developed this model by applying fuzzy TOPSIS and fuzzy AHP methods to find an optimum location for nuclear power plants in Istanbul.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of a Gray-Based Decision Support Framework for Location Selection of a Temporary Hospital during COVID-19 Pandemic

et al. 2020

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The hospital location selection problem is one of the most important decisions in the healthcare sector in big cities due to population growth and the possibility of a high number of daily referred patients. A poor location selection process can lead to many issues for the health workforce and patients, and it can result in many unnecessary costs for the healthcare systems. The COVID-19 outbreak had a noticeable effect on people’s lives and the service quality of hospitals during recent months. The hospital location selection problem for infected patients with COVID-19 turned out to be one of the most significant and complicated decisions with many uncertain involved parameters for healthcare sectors in countries with high cases. In this study, a gray-based decision support framework using criteria importance through inter-criteria correlation (CRITIC) and combined compromise solution (CoCoSo) methods is proposed for location selection of a temporary hospital for COVID-19 patients. A case study is performed for Istanbul using the proposed decision-making framework.

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Section: Literature Reviewmentioning

confidence: 99%

Application of a Gray-Based Decision Support Framework for Location Selection of a Temporary Hospital during COVID-19 Pandemic

et al. 2020

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“…0 1 1 1 1 1 1 1 1 1 1 1 1 In order to apply AHP method, it is necessary to convert (23) and (24) to MPRs. In particular, the application of (11) to 23 (25) At the same time, the application of (12) to (24) allows one to generate the corresponding ARFPR, which in turn, can be transformed, utilizing (13), into MPR (26) The maximal eigenvalues λmax of MPRs (22), (25), and (26) are close to their dimensionality n =7. Thus, these MPRs are consistent [5], and the individual vectors generated by the corresponding eigenvectors [3]…”

Section: B Spatial Multicriteria Analisysmentioning

confidence: 99%

“…Thus, the collective character of evaluations assumes a totally subjective nature. The authors of [22] create a map that shows a ranking of areas with high potential for solar farm development in the Valencian Community (Spain). The authors of [23] recommended sustainable siting areas for solar power generation farms in the Mediterranean.…”

Section: Introductionmentioning

confidence: 99%

“…The authors of [23] recommended sustainable siting areas for solar power generation farms in the Mediterranean. They consider (in [22] and [23]) the evaluation of spatial criteria by a group of specialists. In this sense, each specialist expresses his/her preferences through the multiplicative preference relations, and the AHP method is utilized to obtain a vector of weights.…”

Section: Introductionmentioning

confidence: 99%

“…These vectors are aggregated to generate the group's preferences utilizing the geometric mean operator. In works [22] and [23], different preference formats are not used, qualitative spatial criteria are not considered, and uncertainties related to the decision process are not addressed.…”

Section: Introductionmentioning

confidence: 99%

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Multiattribute Spatial Decision-Making for Qualitative Information Processing as Applied to the Renewable Energy Generating Sites Prospection

Silva

Ekel

Vieira³

et al. 2020

IEEE Access

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The objective of this research is to develop methodological tools to consider qualitative information in solving spatial problems with their particular application to the determination of generating sites for renewable energy systems. This locational problem has a complex nature and its solution has to be capable to take into account a wide range of considerations, as well as evaluations of a qualitative character. In this sense, the proposed process of elaborating decisions starts with studies related to the spatial criteria, which are modeled and processed within the Spatial Multicriteria Analysis. The relative importance of the spatial criteria is established by the involved experts on the basis of the construction, transformation, and processing of preference relations within the framework of the Analytic Hierarchy Process. The resulting decision maps are generated by aggregating the spatial criteria, applying the Ordered Weighted Averaging operator and the linguistic quantifiers. These maps permit one to highlight rational solution alternatives, which, if necessary, are evaluated, compared, chosen, prioritized, and/or ordered, applying additional spatial criteria (of quantitative as well as qualitative character), by means of techniques for preference modeling in a fuzzy environment (within the framework of so-called   R X , models). The corresponding decision process permits one to take into account and process quantitative and qualitative spatial criteria as well as preferences and judgments of the experts. The paper results are illustrated by a Case Study related to the determination of the most suitable locational alternatives for renewable power plants in the Minas Gerais state, Brazil.

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Transitions in the Urban Energy Scenario and Approaches

Kumar

2023

Urban Energy Systems

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Territorial planning for photovoltaic power plants using an outranking approach and GIS

Cited by 57 publications

References 36 publications

Application of a Gray-Based Decision Support Framework for Location Selection of a Temporary Hospital during COVID-19 Pandemic

Application of a Gray-Based Decision Support Framework for Location Selection of a Temporary Hospital during COVID-19 Pandemic

Multiattribute Spatial Decision-Making for Qualitative Information Processing as Applied to the Renewable Energy Generating Sites Prospection

Transitions in the Urban Energy Scenario and Approaches

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