Abstract
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 $ $ 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.
Highlights
In addition to being temporally intermittent, renewable energy potential has an irregular spatial dispersion, which is determined by the availability of certain natural resources
This is based on the use of diverse preference formats acceptable for different decision makers (DMs), their transformation to fuzzy preference relations (FPRs), and processing within the framework of the < X, R > models [8]
ANALYSIS OF THE ALTERNATIVES IN A FUZZY ENVIRONMENT It is possible that the analysis described above permits one to highlights different alternatives that are difficult to distinguish on the basis of applying the considered spatial criteria
Summary
In addition to being temporally intermittent, renewable energy potential has an irregular spatial dispersion, which is determined by the availability of certain natural resources. In order to define a portfolio with the most appropriate and favorable areas for implanting REGSs, we take into account additional spatial criteria of quantitative and/or qualitative character This is based on the use of diverse preference formats acceptable for different DMs, their transformation to fuzzy preference relations (FPRs), and processing within the framework of the < X , R > models [8]. The same approach has been applied in [25] to determine potential areas for solar power plants in four provinces in Iran These works do not use techniques for group evaluations and do not consider qualitative spatial criteria.
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