Estimating the technical wind energy potential of Kansas that incorporates the effect of regional wind resource depletion by wind turbines

Abstract. Energy scenarios require realistic estimates of technical wind energy potentials – estimates for how much electricity can be generated by wind turbines given a certain level of deployed capacity within a region. These are typically obtained using observed wind speeds, neglecting the depletion of the wind energy resource with increasing deployment at the regional scale. Here, we use the kinetic energy budget of the atmosphere (KEBA) approach to evaluate the importance of this resource depletion effect for the technical potential of Kansas, USA. To do so, we first apply the KEBA approach to a previously conducted set of numerical simulations with the Weather Research Forecasting (WRF) model. This set simulated the resource depletion effect for a range of different levels of wind turbine deployments within Kansas, which we use to test the KEBA approach. We specifically test the approach for nighttime and daytime conditions to capture the different mixing regimes of the atmospheric boundary layer. We find that KEBA can adequately capture the effect for both settings. We then extend our analysis by using ERA-5 forcing to the climatological scale. We find that this resource depletion effect increases almost linearly with the level of wind turbine deployment. Compared to previously published estimates for the technical potential for Kansas, the resource depletion effect lowers capacity factors by a third to a half. Since this resource depletion effect increases with installed capacity within a region, it is policy relevant even at relatively low deployment levels.

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Publication Details

Journal
Wind energy science
Published
2024-11-11
DOI
https://doi.org/10.5194/wes-9-2147-2024
Citations
2
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
2.60

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article

Estimating the technical wind energy potential of Kansas that incorporates the effect of regional wind resource depletion by wind turbines

Axel Kleidon, Jonathan Minz, Nsilulu T. Mbungu
2 citations
Wind energy science
Wind Energy Research and Development
2.60
article

Estimating the technical wind energy potential of Kansas that incorporates the effect of regional wind resource depletion by wind turbines

Axel Kleidon, Jonathan Minz, Nsilulu T. Mbungu
article en
2 citations

Abstract

Abstract. Energy scenarios require realistic estimates of technical wind energy potentials – estimates for how much electricity can be generated by wind turbines given a certain level of deployed capacity within a region. These are typically obtained using observed wind speeds, neglecting the depletion of the wind energy resource with increasing deployment at the regional scale. Here, we use the kinetic energy budget of the atmosphere (KEBA) approach to evaluate the importance of this resource depletion effect for the technical potential of Kansas, USA. To do so, we first apply the KEBA approach to a previously conducted set of numerical simulations with the Weather Research Forecasting (WRF) model. This set simulated the resource depletion effect for a range of different levels of wind turbine deployments within Kansas, which we use to test the KEBA approach. We specifically test the approach for nighttime and daytime conditions to capture the different mixing regimes of the atmospheric boundary layer. We find that KEBA can adequately capture the effect for both settings. We then extend our analysis by using ERA-5 forcing to the climatological scale. We find that this resource depletion effect increases almost linearly with the level of wind turbine deployment. Compared to previously published estimates for the technical potential for Kansas, the resource depletion effect lowers capacity factors by a third to a half. Since this resource depletion effect increases with installed capacity within a region, it is policy relevant even at relatively low deployment levels.

Wind energy scienceVol. 9(11)
University of Hohenheim (DE), Tshwane University of Technology (ZA), University of Sharjah (AE), Max Planck Institute for Biogeochemistry (DE)
Max-Planck-Gesellschaft
Affordable and clean energy
Openalex Percentile: Top 8%
Wind Energy Research and Development
2.60
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