MAUT ve TAOV yöntemlerinin birleştirilmesiyle Türkiye için en faydalı yenilenebilir enerji alternatifinin belirlenmesi

The need for energy in the world has recently increased as a result of the increasing population, global growth, and industrialization. The failure to meet the increasing energy with the existing fossil-resourced reserves, and the increase in environmental awareness and energy supply security shows that the use of renewable energy resources in Turkey is quite important as well as in the world. In the present study, a new combined MAUT and TAOV multi-criteria decision-making approach (TAOV- MAUT) method is submitted by combining the Multi Attribute Utility Theory (MAUT) and Total Area Based on Orthogonal Vectors (TAOV). It is tried to determine the most useful renewable energy resource for Turkey by using proposed method. According to the literature review on the evaluation of renewable energy sources in Turkey, the most important criteria that can affect the decision were determined as follows: efficiency, construction time, cost, government incentives, economic life, foreign dependency, employment, opportunities, social acceptance, space requirement and greenhouse gas emissions. As a result of the study, the most useful renewable energy sources in Turkey were determined as hydroelectric, wind, solar, biomass and geothermal energy sources, respectively.