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A DECISION MAKING MODEL FOR SELECTION OF WIND ENERGY PRODUCTION FARMS BASED ON FUZZY ANALYTIC HIERARCHY PROCESS

Year 2013, Volume: 3 Issue: 1, 473 - 476, 01.06.2013

Abstract

The purpose of this paper is to present an evaluation model for the prioritization of wind energy production sites,
namely, Mersin, Silifke and Anamur, located in Mediterranean Sea region of Turkey. For this purpose, a fuzzy analytical
hierarchy decision making approach based on multi-criteria decision making framework including economic, technical, and
environmental criteria was performed. It is found that the results obtained from fuzzy analytical hierarchy process (FAHP)
approach, Anamur district is the best area among the alternatives for establishing wind turbines.

References

  • Jafarian, M. Ranjbar, A.M. (2010). Fuzzy modeling techniques and artificial neural networks to estimate annual energy output of wind turbine. Renewable Energy 35, 2008–2014.
  • Kim, I. Lee, S.H. (1999).A fuzzy time series prediction method based on consecutive values.
  • In Proceedings of the IEEEinternational fuzzy system conference, Seoul, Korea. 2, 703–707.
  • Damousis, I.G. Dokopoulos, P. (2001). A fuzzy expert system for the forecasting of wind speed and power generation in wind farms. In: 22ndIEEE Power Engineering Society international conference on power industry computer applications. 63–69.
  • Damousis, I.G. Alexiadis, M.C. Theocharis, J.B. Dokopoulos, P. (2004). A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation. IEEE Transactions on Energy Conversion 19(2), 352–361.
  • Zangeneh, A. Jadid, S. Kian, A.R. (2009). A hierarchical decision making model for the prioritization of distributed generation technologies: A case study for Iran, Energy Policy 37,752-63.
  • Cavallaro, F. Ciraolo, L. (2005). A multicriteria approach to evaluate wind energy plants on an Italian island, Energy Policy 33, 235–44.
  • Kaya, T. Kahraman, C. (2010), Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul, Energy 35, 2517-2527.
  • Song, Y. D. (2000). A new approach for wind speed prediction, Wind Engineering 24(1), 35–47.
  • Chen, H.H. Kang, Y. Lee, H.I. (2010) Strategic selection of suitable projects or hybrid solar-wind power
  • Sustainable Energy Reviews, 14, 413-421.
  • Expert Choice,http://www.expertchoice.com.
Year 2013, Volume: 3 Issue: 1, 473 - 476, 01.06.2013

Abstract

References

  • Jafarian, M. Ranjbar, A.M. (2010). Fuzzy modeling techniques and artificial neural networks to estimate annual energy output of wind turbine. Renewable Energy 35, 2008–2014.
  • Kim, I. Lee, S.H. (1999).A fuzzy time series prediction method based on consecutive values.
  • In Proceedings of the IEEEinternational fuzzy system conference, Seoul, Korea. 2, 703–707.
  • Damousis, I.G. Dokopoulos, P. (2001). A fuzzy expert system for the forecasting of wind speed and power generation in wind farms. In: 22ndIEEE Power Engineering Society international conference on power industry computer applications. 63–69.
  • Damousis, I.G. Alexiadis, M.C. Theocharis, J.B. Dokopoulos, P. (2004). A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation. IEEE Transactions on Energy Conversion 19(2), 352–361.
  • Zangeneh, A. Jadid, S. Kian, A.R. (2009). A hierarchical decision making model for the prioritization of distributed generation technologies: A case study for Iran, Energy Policy 37,752-63.
  • Cavallaro, F. Ciraolo, L. (2005). A multicriteria approach to evaluate wind energy plants on an Italian island, Energy Policy 33, 235–44.
  • Kaya, T. Kahraman, C. (2010), Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul, Energy 35, 2517-2527.
  • Song, Y. D. (2000). A new approach for wind speed prediction, Wind Engineering 24(1), 35–47.
  • Chen, H.H. Kang, Y. Lee, H.I. (2010) Strategic selection of suitable projects or hybrid solar-wind power
  • Sustainable Energy Reviews, 14, 413-421.
  • Expert Choice,http://www.expertchoice.com.
There are 12 citations in total.

Details

Other ID JA45EU58VZ
Journal Section Articles
Authors

Aysun Sagbas This is me

Adnan Mazmanoglu This is me

Reyhan Alp This is me

Publication Date June 1, 2013
Published in Issue Year 2013 Volume: 3 Issue: 1

Cite

APA Sagbas, A., Mazmanoglu, A., & Alp, R. (2013). A DECISION MAKING MODEL FOR SELECTION OF WIND ENERGY PRODUCTION FARMS BASED ON FUZZY ANALYTIC HIERARCHY PROCESS. International Journal of Electronics Mechanical and Mechatronics Engineering, 3(1), 473-476.