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About Quantification and reduction of uncertainty of model predictions of wind turbines and plants via high-fidelity simulations
With increasing energy demands renewable energy sources are continuing to receive attention and investment to become a larger source for electricity production. Today, wind generated power through wind turbines creates 4% of the electricity in the United States. The wind energy share of the electricity market is expected to grow rapidly as the United States Department of Energy goal is to reach 20% wind generated electricity by 2030. Computational models for wind plants can be used to predict wind plant performance and optimize the turbine placement and controls. However, uncertainties associated with such models, due to, among others, the computationally expedient simplifications need to be carefully assessed, quantified and reduced.
Detailed Information
| Author: | Daniel V. Foti |
|---|---|
| Publication Year: | 2016 |
| Pages: | 269 |
| Language: | other |
| File Size: | 27.6779 |
| Format: | |
| Price: | FREE |
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