Exergy Analysis of Single Array Wind Farm Using Wake Effects

DOI: 10.4236/eng.2011.39117   PDF   HTML     7,178 Downloads   11,978 Views   Citations


The influence of wake parameters on the exergy analysis of single array wind farm is studied in this paper. Key parameters which influence wake effects in a wind farm are wind velocity, tip speed ratio, number of blades, rotor speed, rotor diameter and hub height. Three different models namely power, wake and exergy model were used in estimating the exergy efficiency of the single array wind farm. Even though it is ideal for wind farms to fix the wind turbines in rows and columns the conditions of the site may not always be condu- cive for it. Hence analysis has been done keeping the wind turbines at random in a row and the effect of positioning on the performance is analyzed. Energy and exergy efficiency calculations were made for different cases by varying the positions of wind turbines in the single array wind farm. Standard relations were used in estimating the energy deficit in the wind farm due to wake effects. The wake effects were found to have an aggregated influence on the energy production of the wind farm, which results from the changes in the key parameters mentioned above. Potential areas for reducing energy losses by proper location and selection of turbines based on rating are highlighted. The influence of individual parameters contributing to the wake ef-fect were analyzed and discussed in detail.

Share and Cite:

A. Saravanan, C. Karthikeyan and A. Samuel, "Exergy Analysis of Single Array Wind Farm Using Wake Effects," Engineering, Vol. 3 No. 9, 2011, pp. 949-958. doi: 10.4236/eng.2011.39117.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] F. Koch, M. Gresch, F. Shewarega, I. Erlich and U. Bachmann, “Consideration of Wind Farm Wake Effect in Power System Dynamic Simulation,” IEEE Power Tech Conference, Russia, 2005.
[2] F. C. Kaminski and R. H. Kirchhoff, L.-J. Sheu, “Optimal Spacing of Wind Turbines in a Wind Energy Power Plant,” Solar Energy, Vol. 39, No. 6, 1987, pp. 467-471. doi:10.1016/0038-092X(87)90053-3
[3] T. Diveux, P. Sebastian, D. Bernard and J. R. Puiggali, “Horizontal Axis Wind Turbine Systems: Optimization Using Genetic Algorithms,” Wind Energy, Vol. 4, No. 4, 2002. pp. 151-171. doi:10.1002/we.51
[4] G. Mossetti, C. Poloni and B. Diviacco ‘Optimization of Wind Turbine Positioning in Large Wind Farms By Means of Genetic Algorithm’ Journal of Wind Engineering and Industrial Aerodynamics, Vol. 51, No. 1, 1997, pp. 105-116. doi:10.1016/0167-6105(94)90080-9
[5] S. A. Grady, M. Y. Hussaini and M. M. Abdullah, “Placement of Wind Turbines Using Genetic Algorithms,” Renewable Energy, Vol. 30, No. 2, 2005, pp. 259-270. doi:10.1016/j.renene.2004.05.007
[6] U. A. Ozturk and B. A. Norman, “Heuristic Methods for Wind Energy Conversion System Positioning,” Electric Power Systems Research, Vol. 7, No. 3, 2004, pp. 179- 185. doi:10.1016/j.epsr.2003.12.006
[7] C. Koroneos, T. spachos and N. Moussiopulos, “Exergy Analysis of Renewable Energy Sources,” Renewable Energy, Vol. 28, No. 2, 2003, pp. 295-310. doi:10.1016/S0960-1481(01)00125-2
[8] G. Z. Jia, X. Y. Wang and G. M. Wu, “Investigation on Wind Energy-Compressed Air Power System,” Journal of Zhejiang University Science, Vol. 5, No. 3, 2004, pp. 290-295. doi:10.1631/jzus.2004.0290
[9] I. Dincer and M. A. Rosen, “Exergy: Energy, Environment and Sustainable Development,” Elsevier Publication, Amsterdam, 2007.
[10] I. Dincer and Y. A. Cengel, “Energy, Entropy and Exergy Concepts and Their Roles in Thermal Engineering,” Entropy, Vol. 3, No. 3, 2001, pp. 116-149.
[11] A. D. Sahin, I. Dincer and M. A. Rosen, “Thermodynamic Analysis of Wind Energy,” International Journal of Energy Research, Vol. 30, No. 8, 2006, pp. 553-566. doi:10.1002/er.1163
[12] O. Ozgener and L. Ozgener, “Exergy and Reliability Analysis of Wind Turbine Systems: A Case Study,” Renewable and Sustainable Energy Reviews, Vol. 11, No. 8, 2007, pp. 1811-1826.
[13] J. F. Manwell, J. G. McGowan and A. L. Rogers, “Wind Energy Explained: Theory, Design and Application,” Wiley, Chichester, 2002,
[14] T. Burton, D. Sharpe, N. Jenkins and E. Bossanyi, “Wind Energy Handbook,” Wiley, Chichester,2001.
[15] R. H Abdel-Hamid, M. A. Abu Adma, A. A. Fahmy and S. F. A. Samed, “New Technique for Identifying Optimal Generating Units Parametes for Wind Energy Plant,” East-West Economic Corridor, Marseille, 2009.
[16] A. Ahmadi and M. A. Ahayaei, “Exergy Analysis of Wind Turbine,” International Journal of Exergy, Vol. 6, No. 4, 2009, pp. 457-476. doi:10.1504/IJEX.2009.026672
[17] A. D. Sahin, I. Dincer and M. A. Rosen, “New Spatio-Temporal Wind Exergy Maps,” Journal Energy Resource. Technology, Vol. 128, No. 3, 2006, pp. 194- 201.
[18] A. Mirandola and A. Stoppers, “A Viable Approach to the Optimization of Energy Systems,” International Jour- nal of Thermodynamics, Vol. 6, No. 4, 2003, pp. 157-167.
[19] C. Koroneos and E. Katopodi, “Exergy Analysis of the Wind Power Hydrogen and Electricity Production,” East-West Economic Corridor, Athens, 2006.
[20] M. Lewis-Beck, A. Bryman and T. F. Liao, “The Sage Encyclopedia of Social Science Research Methods,” Sage Publications, Thousand Oaks, 2004.
[21] M. L. Neelis, H. J. Van der Kooi and J. J. C. Greeings, “Exegetics Life Cycle Analysis of Hydrogen Production and Storage Systems for Automotive Applications,” International Journal of Hydrogen Energy, Vol. 29, 2004, pp. 537-545.
[22] G. Xydis, C. Koroneos and M. Loizidou, “Exergy Analysis in a Wind Speed Prognostic Model as a Wind Farm Siting Selection Tool: A Case Study in Southern Greece,” Applied Energy, Vol. 86, No. 11, pp. 2411-2420. doi:10.1016/j.apenergy.2009.03.017

comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.