Dr. Amir Mosavi contributed in the article: Renewable Energy Technology Selection Problem Using Integrated H-SWARA-MULTIMOORA Approach
Abstract:
Due to the adaptation of recent pollution mitigation and justification policies there has been a growing trend for electricity generation from various renewable resources. The selection of the optimal renewable energy echnology could be measured as a complex problem due to the complication of forthcoming circumstances in any country. Consequently, the proposed similar complex assessment problem can be tackled with the support of Multiple Attribute Decision Making (MADM) methods. The current research study investigates a technology selection problem by proposing a hybrid MADM approach based on the Step-Wise Weight Assessment Ratio Analysis (SWARA) approach with a hierarchical arrangement combined with the Multi-Objective Optimization on the basis of Ratio Analysis plus the full MULTIplicative form (MULTIMOORA). Ultimately, a conceptual case study regarding the selection of the optimal renewable energy technology based on a conceptual development project in Iran has been examined by the proposed combinative MADM methodology.
Keywords: renewable energy; technology selection problem; sustainable energy evaluation; sustainable energy developments; sustainable developments; hierarchical SWARA; MULTIMOORA; multiple criteria decision making (MCDM); Multiple Attribute Decision Making (MADM); ranking
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