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| Funder | Swedish Energy Agency |
|---|---|
| Recipient Organization | Uppsala University |
| Country | Sweden |
| Start Date | Dec 15, 2021 |
| End Date | Dec 31, 2024 |
| Duration | 1,112 days |
| Data Source | Swedish Research Council |
| Grant ID | P2021-90196_Energi |
The complexity of Northern European wind conditions and new grid requirements for wind farm control challenge the state of industrial wind farm modelling. High-fidelity large-eddy simulation (LES) is considered the most accurate tool for such applications. However, the large computational demand limits the use of LES to fundamental academic studies.
The lattice Boltzmann method (LBM) states an alternative to classical LES models and offers significantly higher computational efficiency. Already now, LBM-LES is replacing lower fidelity models in various industries. This project will close remaining gaps in the wind-energy-specific modelling capabilities of LBM models.
The resulting LBM framework will finally bridge the gap between academic high-fidelity modelling and the industrial practice.
This holds the potential for notable uncertainty reductions in power and load estimation that will directly benefit a resource and cost-efficient wind power development.
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