Search Results - "Antonini, Enrico G. A"

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  1. 1

    Spatial constraints in large-scale expansion of wind power plants by Antonini, Enrico G. A., Caldeira, Ken

    “…When wind turbines are arranged in clusters, their performance is mutually affected, and their energy generation is reduced relative to what it would be if…”
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    Journal Article
  2. 2

    Identification of reliable locations for wind power generation through a global analysis of wind droughts by Antonini, Enrico G. A., Virgüez, Edgar, Ashfaq, Sara, Duan, Lei, Ruggles, Tyler H., Caldeira, Ken

    Published in Communications earth & environment (01-12-2024)
    “…Wind droughts, or prolonged periods of low wind speeds, pose challenges for electricity systems largely reliant on wind generation. Using weather reanalysis…”
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    Journal Article
  3. 3

    Evaluation of the different aerodynamic databases for vertical axis wind turbine simulations by Bedon, Gabriele, Antonini, Enrico G.A., De Betta, Stefano, Raciti Castelli, Marco, Benini, Ernesto

    Published in Renewable & sustainable energy reviews (01-12-2014)
    “…A review on a wide number of different aerodynamic coefficient databases to be used for vertical axis wind turbine simulations is conducted in this work. The…”
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  4. 4

    Optimizing wind farms layouts for maximum energy production using probabilistic inference: Benchmarking reveals superior computational efficiency and scalability by Dhoot, Aditya, Antonini, Enrico G.A., Romero, David A., Amon, Cristina H.

    Published in Energy (Oxford) (15-05-2021)
    “…Successful development of wind farms relies on the optimal siting of wind turbines to maximize the power capacity under stochastic wind conditions and wake…”
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    Journal Article
  5. 5

    Predicting wind farm wake losses with deep convolutional hierarchical encoder–decoder neural networks by Romero, David A., Hasanpoor, Saeede, Antonini, Enrico G. A., Amon, Cristina H.

    Published in APL machine learning (01-03-2024)
    “…Wind turbine wakes are the most significant factor affecting wind farm performance, decreasing energy production and increasing fatigue loads in downstream…”
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  6. 6

    The quantity-quality transition in the value of expanding wind and solar power generation by Antonini, Enrico G.A., Ruggles, Tyler H., Farnham, David J., Caldeira, Ken

    Published in iScience (15-04-2022)
    “…Wind and solar photovoltaic generators are projected to play important roles in achieving a net-zero-carbon electricity system that meets current and future…”
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  7. 7

    Atmospheric pressure gradients and Coriolis forces provide geophysical limits to power density of large wind farms by Antonini, Enrico G.A., Caldeira, Ken

    Published in Applied energy (01-01-2021)
    “…•We provide a theoretical basis for upper limits of power density in large wind farms.•Pressure gradients within the Ekman layer supply energy to large wind…”
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    Journal Article
  8. 8

    Optimizing wind farms layouts for maximum energy production using probabilistic inference: Benchmarking reveals superior computational efficiency and scalability by Dhoot, Aditya, Antonini, Enrico G. A, Romero, David A, Amon, Cristina H

    Published 16-02-2021
    “…Energy, Vol. 223, 120035, 2021 Successful development of wind farms relies on the optimal siting of wind turbines to maximize the power capacity under…”
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    Journal Article
  9. 9

    Optimal design of wind farms in complex terrains using computational fluid dynamics and adjoint methods by Antonini, Enrico G.A., Romero, David A., Amon, Cristina H.

    Published in Applied energy (01-03-2020)
    “…•The proposed adjoint method enables CFD-based wind farm design in complex terrains.•The field-validated, turbulent CFD model predicts the wind farm energy…”
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  10. 10

    Improving CFD wind farm simulations incorporating wind direction uncertainty by Antonini, Enrico G.A., Romero, David A., Amon, Cristina H.

    Published in Renewable energy (01-04-2019)
    “…Accurate quantification of wake losses is crucial in wind farm economics. Computational Fluid Dynamics (CFD) has been proven to be a reliable solution to…”
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    Journal Article
  11. 11

    Continuous adjoint formulation for wind farm layout optimization: A 2D implementation by Antonini, Enrico G.A., Romero, David A., Amon, Cristina H.

    Published in Applied energy (15-10-2018)
    “…•The developed adjoint method can effectively be used for WFLO gradient computations.•The adjoint method significantly reduces the cost for the gradient…”
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    Journal Article
  12. 12

    Planning reliable wind- and solar-based electricity systems by Ruggles, Tyler H., Virgüez, Edgar, Reich, Natasha, Dowling, Jacqueline, Bloomfield, Hannah, Antonini, Enrico G.A., Davis, Steven J., Lewis, Nathan S., Caldeira, Ken

    Published in Advances in applied energy (01-09-2024)
    “…•Year-to-year weather variability substantially impacts least-cost electricity system planning.•Performance of designed systems is influenced by the length and…”
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    Journal Article