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Windtane contour map of the state of Texas

Author

Listed:
  • Leer, Donald
  • Chang, Byungik
  • Chen, Gerald
  • Carr, David
  • Starcher, Kenneth
  • Issa, Roy
Abstract
With the expansion of wind energy development, there is a need to update wind data periodically for the state of Texas for developers and landowners to see if their properties could support wind turbines. This study presents an updated wind power map and a Windtane contour map of the state of Texas. The Windtane map shows the height above ground level needed to reach a baseline wind power level of 350 W/m2. This level is where the middle of class 3 wind power occurs and is widely considered to be the lower limit of the annual power level fort wind turbines to be economically viable for installation. The Windtane map using ArcGIS can be reconfigured to represent different power levels if need to. Both maps use a ‘certainty zone’ concept to constrain the areas where wind power is projected and to give increased confidence in the data to those areas projected into.

Suggested Citation

  • Leer, Donald & Chang, Byungik & Chen, Gerald & Carr, David & Starcher, Kenneth & Issa, Roy, 2013. "Windtane contour map of the state of Texas," Renewable Energy, Elsevier, vol. 58(C), pages 140-150.
    • Handle: RePEc:eee:renene:v:58:y:2013:i:c:p:140-150
    DOI: 10.1016/j.renene.2013.03.002
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    References listed on IDEAS

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    1. Fox, Neil I., 2011. "A tall tower study of Missouri winds," Renewable Energy, Elsevier, vol. 36(1), pages 330-337.
    2. Sliz-Szkliniarz, Beata & Vogt, Joachim, 2011. "GIS-based approach for the evaluation of wind energy potential: A case study for the Kujawsko-Pomorskie Voivodeship," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1696-1707, April.
    3. Hossain, Jami & Sinha, Vinay & Kishore, V.V.N., 2011. "A GIS based assessment of potential for windfarms in India," Renewable Energy, Elsevier, vol. 36(12), pages 3257-3267.
    4. Cellura, M. & Cirrincione, G. & Marvuglia, A. & Miraoui, A., 2008. "Wind speed spatial estimation for energy planning in Sicily: Introduction and statistical analysis," Renewable Energy, Elsevier, vol. 33(6), pages 1237-1250.
    5. Kwon, Soon-Duck, 2010. "Uncertainty analysis of wind energy potential assessment," Applied Energy, Elsevier, vol. 87(3), pages 856-865, March.
    6. Bañuelos-Ruedas, F. & Angeles-Camacho, C. & Rios-Marcuello, S., 2010. "Analysis and validation of the methodology used in the extrapolation of wind speed data at different heights," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2383-2391, October.
    7. Cellura, M. & Cirrincione, G. & Marvuglia, A. & Miraoui, A., 2008. "Wind speed spatial estimation for energy planning in Sicily: A neural kriging application," Renewable Energy, Elsevier, vol. 33(6), pages 1251-1266.
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