Influence of exogenous and endogenous factors on the exergy analysis of 3-column array wind farm
Abstract
Influence of exogenous and endogenous factors on the exergy analysis of 3 Column array wind farm for two different layouts are highlighted in this paper. Nine turbines were placed in two different layouts to analyse the influence of exogenous factors such as wind velocity, wind direction, wind distribution and distance between turbines. Endogenous factors considered were diameter of rotor, hub height and number of blades. Models developed for energy and exergy efficiency estimation were tested using two different site data. Energy and exergy efficiency were found to be very sensitive to mean velocity and Weibull scale factor, which are site specific. Design wind speed, free stream wind speed and position of turbines in the wind farm contribute appreciably to the wind energy utilisation of the farm. A significant improvement in energy and exergy efficiency can be noticed with very small changes in wind direction for even complex positioning of turbines.
Keywords
References
- 1. (2009).‘New technique for identifying optimal generating units Parameters for wind energy plant’.EWEC.Marseille, France Google Scholar
- 2. (2009).‘Exergy analysis of wind turbine’.International Journal of Exergy.6,4,457-476 Abstract, Google Scholar
- 3. (2010).‘Constraints based decision support for site-specific preliminary design of wind turbines’.Energy and Power Engineering.2,161-170 Google Scholar
- 4. (2010).‘Effects of meteorological variables on exergetic efficiency of wind turbine power plants’.Renewable and Sustainable Energy Reviews.14,3237-3241 Google Scholar
- 5. (2011).‘Second law analysis of wind turbine power plants: Cesme, Izmir example’.Energy.361,2535-2542 Google Scholar
- 6. (2008).‘Growth and future trends of wind energy in India’.Renewable and Sustainable Energy Reviews.12,1745-1757 Google Scholar
- 7. (2009).‘Estimation of energy yield from wind farms using artificial neural networks’.IEEE Transactions on Energy Conversion.24,2,459-464 Google Scholar
- 8. (2010).Calculation of 10 kV Transmission Losses and 10/35 kV Transformer Loss for Haiyang Qiuershan Wind Farm. http://cdm.unfccc.int/filestorage/E/D/C/EDCFBAQ83WM1JNU4RGIH0YZXP6LO75/2021%201%20Grid%20Loss%20and%20Transformer%20Losses%20%28EN%29.pdf?t=eHN8bWhwMnpqfDCUDTtEbOC80P5ypWsAK9i7(Last accessed on 04.02. 2013) Google Scholar
- 9. (2001).‘Horizontal axis wind turbine systems: optimization using genetic algorithms’.Wind Energy.4,151-171 Google Scholar
- 10. (2002).‘Horizontal axis wind turbine systems: Optimization using genetic algorithms’.Wind Energy.4,151-171 Google Scholar
- 11. (2005).‘Placement of wind turbines using genetic algorithms’.Renewable Energy.30,2,259-270 Google Scholar
- 12. (2001).‘Optimum siting of wind turbine generator’.IEEE Transaction on Energy Conservation.16,1,8-13 Google Scholar
- 13. (2011).‘Exergy analysis of single array wind farm using wake effects’.Engineering.3,949-958 Google Scholar
- 14. (2010).‘Performance, reliability and failure analysis of wind farm in a developing country’.Renewable Energy.35,2739-2751 Google Scholar
- 15. (1987).‘Optimal spacing of wind turbines in a wind energy power plant’.Solar Energy.39,6,467-471 Google Scholar
- 16. (1997).‘Effective short-cut modelling of wind park efficiency’.Renewable Energy.11,4,439-457 Google Scholar
- 17. (2003).‘Exergy analysis of renewable energy sources’.Renewable Energy.28,295-310 Google Scholar
- 18. (2010).‘Design of wind farm layout for maximum wind energy capture’.Renewable Energy.35,3,685-694 Google Scholar
- 19. (2013).‘Energetic and exergetic assessment of solar and wind potential maps in Europe’.International Journal of Exergy.13,2,175-200 Google Scholar
- 20. (2002).‘Wind energy explained: theory, design and application’.John Wiley & Sons Ltd36 Google Scholar
- 21. (1994).‘Optimization of wind turbine positioning in large wind farm by means of genetic algorithm’.Journal of Wind Engineering and Industrial Aerodynamics.51,105-116 Google Scholar
- 22. (2006).‘A small wind turbine system (SWTS) application and its performance analysis’.Energy Conversion and Management.47,1326-1337 Google Scholar
- 23. (2007).‘Exergy and reliability analysis of wind turbine systems: a case study’.Renewable and Sustainable Energy Reviews.11,1811-1826 Google Scholar
- 24. (2009).‘Analysis of some exergoeconomic parameters of small wind turbine system’.International Journal of Green Energy.6,42-56 Google Scholar
- 25. (2011).‘Energy and exergy assessments for potential wind power in Turkey’.International Journal of Exergy.8,2,211-226 Abstract, Google Scholar
- 26. (2010).‘Energy and exergy efficiency comparison of horizontal and vertical axis wind turbines’.Renewable Energy.35,2102-2113 Google Scholar
- 27. (2006a).‘Thermodynamic analysis of wind energy’.International Journal of Energy Research.30,553-566 Google Scholar
- 28. (2006b).‘New spatio-temporal wind exergy maps’.Journal Energy Resource. Technology.128,3,194-201 Google Scholar
- 29. (2004).‘Wind energy in India: shifting paradigms and challenges ahead’.Journal of Energy Engineering.130,67-78 Google Scholar
- 30. (2009).‘Exergy analysis in a wind speed prognostic model as a wind farm siting selection tool: a case study in Southern Greece’.Applied Energy.86,2411-2420 Google Scholar
- 31. (2012).‘Analysing the effects on the atmosphere of exergy changes due to exhaust-gas emissions’.International Journal of Exergy.10,1,21-33 Google Scholar