Articles | Volume 13, issue 10
https://doi.org/10.5194/gmd-13-4993-2020
https://doi.org/10.5194/gmd-13-4993-2020
Model description paper
 | 
22 Oct 2020
Model description paper |  | 22 Oct 2020

The Kinetic Energy Budget of the Atmosphere (KEBA) model 1.0: a simple yet physical approach for estimating regional wind energy resource potentials that includes the kinetic energy removal effect by wind turbines

Axel Kleidon and Lee M. Miller

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Cited articles

Adams, A. S. and Keith, D.: Are global wind power resource estimates overstated?, Environ. Res. Lett., 8, 015021, doi:10.1088/1748-9326/8/1/015021, 2013. a, b
Agora Energiewende, Agora Verkehrswende, Technical University of Denmark, and Max-Planck-Institute for Biogeochemistry: Making the Most of Offshore Wind: Re-Evaluating the Potential of Offshore Wind in the German North Sea, Tech. Rep. 176/01-S-2020/EN, Agora Energiewende, Berlin, Germany, available at: https://www.agora-energiewende.de/en/projects/offshore-wind-potential/ (last access: 24 July 2020), 2020. a, b
Barthelmie, R. J., Pryor, S. C., Frandsen, S. T., Hansen, K. S., Schepers, J. G., Rados, K., Schlez, W., Neubert, A., Jensen, L. E., and Neckelmann, S.: Quantifying the impact of wind turbine wakes on power output at offshore wind farms, J. Atmos. Ocean Tech., 27, 1302–1317, https://doi.org/10.1175/2010JTECHA1398.1, 2010. a, b
Corten, G.: Novel views on the extraction of energy from wind: Heat generation and terrain concentration, Tech. rep., Proceedings of the 2001 EWEC conference, available at: http://www.ecn.nl/docs/library/report/2001/rx01054.pdf (last access: 2 May 2014), 2001. a
Emeis, S.: A simple analytical wind park model considering atmospheric stability, Wind Energy, 13, 459–469, https://doi.org/10.1002/we367, 2010. a, b
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Short summary
When winds are used as renewable energy by more and more wind turbines, one needs to account for the effect of wind turbines on the atmospheric flow. The Kinetic Energy Budget of the Atmosphere (KEBA) model provides a simple, physics-based approach to account for this effect very well when compared to much more detailed numerical simulations with an atmospheric model. KEBA should be useful to derive lower, more realistic wind energy resource potentials of different regions.
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