Atmospheric pressure gradients and Coriolis forces provide geophysical limits to power density of large wind farms
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DOI: 10.1016/j.apenergy.2020.116048
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Cited by:
- Dhoot, Aditya & Antonini, Enrico G.A. & Romero, David A. & Amon, Cristina H., 2021. "Optimizing wind farms layouts for maximum energy production using probabilistic inference: Benchmarking reveals superior computational efficiency and scalability," Energy, Elsevier, vol. 223(C).
- Kirchner-Bossi, Nicolas & Porté-Agel, Fernando, 2024. "Wind farm power density optimization according to the area size using a novel self-adaptive genetic algorithm," Renewable Energy, Elsevier, vol. 220(C).
- Cazzaro, Davide & Trivella, Alessio & Corman, Francesco & Pisinger, David, 2022. "Multi-scale optimization of the design of offshore wind farms," Applied Energy, Elsevier, vol. 314(C).
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Keywords
Wind farm efficiency; Power density; Geophysical limits; Coriolis force; Pressure gradient; Turbine-atmosphere interaction;All these keywords.
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