Abstract
Energy is a critical foundation for economic growth and social progress. It is estimated that 70% of the world energy consumption could be provided from renewable resources by the year 2050. Renewable energy is the inevitable choice for sustainable economic growth, for the harmonious coexistence of human and environment as well as for the sustainable development. The aim of this paper is to evaluate the renewable energy alternatives as a key way for resolving the Turkey's energy-related challenges because of the fact that Turkey's energy consumption has risen dramatically over the past three decades as a consequence of economic and social development. In order to realize this aim, we comparatively use MACBETH and AHP-based multicriteria methods for the evaluation of renewable energy alternatives under fuzziness. We use 4 main attributes and 15 sub-attributes in the evaluation. The potential renewable energy alternatives in Turkey are determined as Solar, Wind, Hydropower, and Geothermal.
Highlights
Energy is essential for economic and social development and improved quality of life in all countries
Since the most forms of renewable energy alternatives are dependent on multicriteria decision making, this paper is concerned with using MACBETH and fuzzy Analytic Hierarchy Process (AHP) multicriteria methods that are detailed into Appendix A and B, respectively to evaluate renewable energy resources for Turkey
It is well accepted that renewable energy alternatives have advantages over conventional energy systems in terms of environmental acceptability
Summary
Energy is essential for economic and social development and improved quality of life in all countries. Kahraman and Kaya (2010a) suggested a fuzzy multicriteria decision-making methodology based on Zeng et al (2007) analytic hierarchy process (AHP) under fuzziness and allowed the evaluation scores from experts to be linguistic expressions, crisp or fuzzy numbers for the selection among energy policies for Turkey. Aydın et al (2010) developed a decision support tool for site selection of wind energy turbines in the Geographic Infor mation System environment using fuzzy decision making approach This decision support tool enabled aggregation of individual satisfaction degrees of each alternative location for various fuzzy environmental objectives. Beccali et al (2003) made an application of the multicriteria decision-making methodology to assess an action plan for the diffusion of renewable energy technologies at regional scale They carried out a case study for the island of Sardinia.
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