Journal article
Time-dependent upper limits to the performance of large wind farms due to mesoscale atmospheric response
- Abstract:
- A prototype of a new physics-based wind resource assessment method is presented, which allows the prediction of upper limits to the performance of large wind farms (including the power loss due to wind farm blockage) in a site-specific and time-dependent manner. The new method combines the two-scale momentum theory with a numerical weather prediction (NWP) model to assess the “extractability” of wind, i.e., how high the wind speed at a given site can be maintained as we increase the number of turbines installed. The new method is applied to an offshore wind farm site in the North Sea to demonstrate that: (1) Only a pair of NWP simulations (one without wind farm and the other with wind farm with an arbitrary level of flow resistance) are required to predict the extractability. (2) The extractability varies significantly from time to time, which may cause more than 30% of change in the upper limit of the performance of medium-to-high-density offshore wind farms. These results suggest the importance of considering not only the natural wind speed but also its extractability in the prediction of (both long- and short-term) power production of large wind farms.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, 2.1MB, Terms of use)
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- Publisher copy:
- 10.3390/en14196437
Authors
- Publisher:
- MDPI
- Journal:
- Energies More from this journal
- Volume:
- 14
- Issue:
- 19
- Article number:
- 6437
- Publication date:
- 2021-10-08
- Acceptance date:
- 2021-10-04
- DOI:
- EISSN:
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1996-1073
- Language:
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English
- Keywords:
- Pubs id:
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1199888
- Local pid:
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pubs:1199888
- Deposit date:
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2021-10-11
Terms of use
- Copyright holder:
- Patel et al.
- Copyright date:
- 2021
- Rights statement:
- © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
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