Abstract—The efficiency of resource utilization and sustainability are rising values all over the world. Power generation technologies have an important weight in this manner for a sustainable future. Particularly, renewable energy power technologies should take over the non-renewable power generation technologies when considered on environmental issues. However it is too far to substitute renewable onto non-renewable as for now. At this point, there is another issue for choosing the best yet suitable alternative technology. The selection problem is a difficult multi-criteria decision making problem in many fields as well as in the selection of power generation technology. This paper proposed a data envelopment analysis model approach by using triangular fuzzy numbers (TFN) as the solution. Six different technologies were used as the decision making units (DMU). Inputs and outputs variables were selected in general indicators such as economical and technical. It was showed that policy and decision makers could follow this methodology to produce effective solution for energy generation problems. Index Terms— Fuzzy data envelopment analysis, effectiveness, multi-criteria decision making, renewable energy I. INTRODUCTION nergy demands are increasing all over the world based on the growing population, development level, expanding industrial areas. Due to booming energy demand, countries faced with energy scarcity. The greatest economy in the world, the US economy has been supplied by energy obtained from fossil fuels almost 85% of its demand [1], [2]. Manuscript received March 06, 2011; revised March 21, 2011. This work was supported by the Selcuk University Scientific Research Coordination Centre (BAP). Mehmet Emin Baysal is with the Selcuk University department of Industrial Engineering, , Konya, TURKEY (corresponding author to provide phone: 90 332 2233750; fax: 90 332 2233750; e-mail: mebaysal@gmail.com). Ahmet Sarucan is with the Selcuk University department of Industrial Engineering, , Konya, TURKEY. Cengiz Kahraman is with the Istanbul Technical University department of Industrial Engineering, , Istanbul, TURKEY. Orhan Engin is with the Selcuk University department of Industrial Engineering, , Konya, TURKEY. To make a long term sustainable energy generation policies should be the main priority of governments. Searching new options for generating power brought to us clean energy generation technologies as it is called renewable energy power generation technologies. These technologies include on-shore wind power, off-shore wind power, geothermal power, solar power, photovoltaic power and small hydropower. There is a strong relationship between increasing of CO 2 emissions and increased usage of non-renewable energy resources. Increased renewable energy resources usage can help to reduce CO 2 emissions. On the other hand, the usage of limited fossil fuel resources has severe environmental effects. These technologies are relatively new technologies and need higher investment capital than the older technologies. Due to this disadvantage, the selection problem of technology is naturally an important multi-criteria decision making problem. This study focuses on the selection process by using data envelopment analysis (DEA) which is well known alternatives assessment method. It is selected 6 different technologies as decision making units (DMU) and determined two groups of variables such as economical and technical. Based on the assessment of decision makers it is obtained linguistic variable values for these groups. Fuzzy data envelopment analysis (FDEA) model proposed by Lertworasirikul [3] and Lin [4], possibility Charnes Cooper Rhodes model (PCCR1) was used to solve this problem with α-cut approach in six α-levels. The rest of this paper is organized as follows. Section 2 presents recent literature of Data Envelopment Analysis on the energy and the selection problems. Methodology and proposed method is given in section 3. Section 4 is devoted an illustrative example problem on the selection of renewable energy power generation technologies. Section 5 presents a conclusion. II. LITERATURE REVIEW There are numerous performance evaluation studies using DEA and its variation. Since our problem is the selection of energy power generation technology, in this study we focused on two aspects of literature: various energy application and selection problem. As below we briefly reviewed the related literature. Zhou et al. [5] published a comprehensive literature survey on the application of data envelopment analysis (DEA) to Energy and Environment (E&E). They classified the 100 publications in this field and mentioned some issues usage of DEA in E&E studies. In this survey it can be found The Selection of Renewable Energy Power Plant Technology Using Fuzzy Data Envelopment Analysis M. Emin Baysal, Ahmet Sarucan, Cengiz Kahraman, Orhan Engin E Proceedings of the World Congress on Engineering 2011 Vol II WCE 2011, July 6 - 8, 2011, London, U.K. ISBN: 978-988-19251-4-5 ISSN: 2078-0958 (Print); ISSN: 2078-0966 (Online) WCE 2011