Time-Dependent Upper Limits to the Performance of Large Wind Farms Due to Mesoscale Atmospheric Response
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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-10-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/14/19/6437 |
| _version_ | 1797516561480679424 |
|---|---|
| author | Kelan Patel Thomas D. Dunstan Takafumi Nishino |
| author_facet | Kelan Patel Thomas D. Dunstan Takafumi Nishino |
| author_sort | Kelan Patel |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T07:02:37Z |
| format | Article |
| id | doaj.art-2f2d74ecebf04337aba0455dc85c3f32 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T07:02:37Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-2f2d74ecebf04337aba0455dc85c3f322023-11-22T16:04:21ZengMDPI AGEnergies1996-10732021-10-011419643710.3390/en14196437Time-Dependent Upper Limits to the Performance of Large Wind Farms Due to Mesoscale Atmospheric ResponseKelan Patel0Thomas D. Dunstan1Takafumi Nishino2Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UKMet Office, FitzRoy Road, Exeter EX1 3PB, UKDepartment of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UKA 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.https://www.mdpi.com/1996-1073/14/19/6437actuator disc theorymomentum theorynumerical weather predictionwind farm blockagewind resource assessment |
| spellingShingle | Kelan Patel Thomas D. Dunstan Takafumi Nishino Time-Dependent Upper Limits to the Performance of Large Wind Farms Due to Mesoscale Atmospheric Response Energies actuator disc theory momentum theory numerical weather prediction wind farm blockage wind resource assessment |
| title | Time-Dependent Upper Limits to the Performance of Large Wind Farms Due to Mesoscale Atmospheric Response |
| title_full | Time-Dependent Upper Limits to the Performance of Large Wind Farms Due to Mesoscale Atmospheric Response |
| title_fullStr | Time-Dependent Upper Limits to the Performance of Large Wind Farms Due to Mesoscale Atmospheric Response |
| title_full_unstemmed | Time-Dependent Upper Limits to the Performance of Large Wind Farms Due to Mesoscale Atmospheric Response |
| title_short | Time-Dependent Upper Limits to the Performance of Large Wind Farms Due to Mesoscale Atmospheric Response |
| title_sort | time dependent upper limits to the performance of large wind farms due to mesoscale atmospheric response |
| topic | actuator disc theory momentum theory numerical weather prediction wind farm blockage wind resource assessment |
| url | https://www.mdpi.com/1996-1073/14/19/6437 |
| work_keys_str_mv | AT kelanpatel timedependentupperlimitstotheperformanceoflargewindfarmsduetomesoscaleatmosphericresponse AT thomasddunstan timedependentupperlimitstotheperformanceoflargewindfarmsduetomesoscaleatmosphericresponse AT takafuminishino timedependentupperlimitstotheperformanceoflargewindfarmsduetomesoscaleatmosphericresponse |