Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12323/5730
Title: A Fuzzy Analitic Hierarchy Process (FAHP) Application for a Renewable election in Azerbaijan
Authors: Nuriyev, Mahammad
Keywords: fuzzy AHP,
linguistic estimates
, multi-criteria decision analysis
renewables.
Issue Date: 2020
Abstract: Azerbaijan is an energy-independent country and oil and gas resources are driving forces for the country economics. But heavy reliance on hydrocarbons has two serious implications: traditional energy systems are environmentally harmful; all non-renewable resources have a limited lifecycle of production. In such circumstances, the development of renewables-based energy systems is of interest for Azerbaijan as well. Geographical features of the country provide a list of the country-level available renewables: solar, wind and hydro resources. Renewables selection is a multicriteria decision-making process and requires a comprehensive study of the social, economic, technological and other specific aspects of renewable development. Like any other unique undertakings and innovation, it is characterized by insufficient information, uncertainties and intangibles, competitive priorities and contradictory decisions. The necessity to rely on experts` opinion also contributes to the subjectivity and vagueness of decision-making problem. Taking into consideration these circumstances, Fuzzy Analytic Hierarchy Process has been used. According to the research results, available renewables are ordered, in accordance with priority, as following: solar → wind → hydro. A high priority for the solar resource presumably related to its availability almost all around the country, technical solutions affordability and relatively low per unit cost. The hydro has limited geographical availability, relatively high investment cost and some negative implications for nature. The wind is in the intermediate
URI: http://hdl.handle.net/20.500.12323/5730
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