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Effect of wind energy system performance on optimal renewable energy model--an analysis


  • Iniyan, S.
  • Jagadeesan, T. R.


The Optimal Renewable Energy Model (OREM) has been developed to determine the optimum level of renewable energy sources utilisation in India for the year 2020-21. The model aims at minimising cost[-45 degree rule]efficiency ratio and determines the optimum allocation of different renewable energy sources for various end-uses. The extent of social acceptance level, potential limit, demand and reliability will decide the renewable energy distribution pattern and are hence used as constraints in the model. In this paper, the performance and reliability of wind energy system and its effects on OREM model has been analysed. The demonstration windfarm (4 MW) which is situated in Muppandal, a village in the southern part of India, has been selected for the study. The windfarm has 20 wind turbine machines of 200 KW capacity. The average technical availability, real availability and capacity factor have been analysed from 1991 to 1995 and they are found to be 94.1%, 76.4% and 25.5% respectively. The reliability factor of wind energy system is found to be 0.5 at 10,000 hours. The OREM model is analysed considering the above said factors for wind energy system, solar energy system and biomass energy systems. The model selects wind energy for pumping end-use to an extent of 0.3153x1015 KJ.

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  • Iniyan, S. & Jagadeesan, T. R., 1998. "Effect of wind energy system performance on optimal renewable energy model--an analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 2(4), pages 327-344, December.
  • Handle: RePEc:eee:rensus:v:2:y:1998:i:4:p:327-344

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    References listed on IDEAS

    1. Rijal, Kamal & Bansal, N. K. & Grover, P. D., 1990. "Rural household energy demand modelling : A case study of Nepal," Energy Economics, Elsevier, vol. 12(4), pages 279-288, October.
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    Cited by:

    1. Bueno, C. & Carta, J.A., 2006. "Wind powered pumped hydro storage systems, a means of increasing the penetration of renewable energy in the Canary Islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 312-340, August.
    2. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    3. Joselin Herbert, G.M. & Iniyan, S. & Amutha, D., 2014. "A review of technical issues on the development of wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 619-641.
    4. Hiremath, R.B. & Shikha, S. & Ravindranath, N.H., 2007. "Decentralized energy planning; modeling and application--a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(5), pages 729-752, June.
    5. Boccard, Nicolas, 2009. "Capacity factor of wind power realized values vs. estimates," Energy Policy, Elsevier, vol. 37(7), pages 2679-2688, July.
    6. Islam, M.R. & Mekhilef, S. & Saidur, R., 2013. "Progress and recent trends of wind energy technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 456-468.

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