Use of multicriteria decision analysis to assess alternative wind power plants
Abstract
This study presents a multi-criteria decision analysis (MCDA) for evaluation the wind energy production alternatives located in Marmara region of Turkey. Main goal of the study is to incorporate the prioritization criteria for the assessment of various wind power plants. To achieve this aim, a hierarchical decision model based on multi-criteria decision making approach using Fuzzy Analytical Hierarchy Process (FAHP) is utilized, expert judgments are quantified, and the alternatives are evaluated with respect to the economic, technical and environmental criteria. In the proposed methodology, the weights of the selection criteria are identified by pairwise comparison matrices of AHP. From the performed analysis, the best wind production farm among the alternatives for establishing wind turbines in the considered region is determined.
References
Camadan, A. 2011. An assessment on the current status and future of wind energy in Turkish electricity industry. Renewable and Sustainable Energy Reviews 15: 4994–5002.
Cavallaro, F. and Ciraolo, L. 2005. A multicriteria approach to evaluate wind energy plants on an Italian island. Energy Policy 33: 235–244.
Damousis, G. and Dokopoulos, P. 2001. A fuzzy expert system for the forecasting of wind speed and power generation in wind farms. 22nd IEEE Power Engineering Society International Conference on Power Industry Computer Applications, USA.
Ilkilic, C. and Nursoy, M. 2010. The Potential of Wind Energy as an Alternative Source in Turkey. Energy Sources, Part A: Recovery, Utilization,and Environmental Effects 3: 550-559.
Kahraman, C., Kaya, I. and Cebi, S. 2009. A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process. Energy 34: 1603–1616.
Kaya, T. and Kahraman, C. 2010. Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul. Energy 35: 2517-2527.
Kim, I. and Lee, S.H. 1999. A fuzzy time series prediction method based an consecutive values. In Proceedings of the IEEE international fuzzy system conference 2: 703–707.
Lee, A.H.I., Hung, M.C., Kang, H.Y. and Pearn, W.L. 2012. A wind turbine evaluation model under a multi-criteria decision making environment. Energy Conversion and Management 64: 289-300.
Pohekar, S.D. and Ramachandran, M. 2004. Application of multi-criteria decision making to sustainable energy planning. Renewable and Sustainable Energy Reviews 8:365–38.
Polatidis, H., Haralambopoulos, D.A., Munda, G. and Vreeker, R. 2006. Selecting an appropriate multi-criteria decision analysis technique for renewable energy planning. Energy Sources Part B 3:1181–93.
Saaty, T. 1980. The Analytic Hierarchy Process. McGraw-Hill, New York.
Tegou, L.I., Polatidis, H. and Haralambopoulos, D.A. 2012. A multi- criteria framework for an ısolated electricity system design with renewable energy sources in the context of distributed generation: the case study of Lesvos island,
Greece. International Journal of Green Energy 9(3): 256-279.
Wang, B., Kocaoglu, D.F., Daim, T.U. and Jitting, Y. 2010. A decision model for energy resource selection in China. Energy Policy 38: 7130–7141.
Zangeneh, A., Jadid, S. and Rahimi-Kian, A. 2009. A hierarchical decision making model for the prioritization of distributed generation technologies: A case study for Iran. Energy Policy 37: 5752–5763
