Pubblicazioni

@article{antonini2024scidata,
  author = {E.G.A. Antonini and A. Di Bella and I. Savelli and L. Drouet and M. Tavoni},
  title = {{Weather- and climate-driven power supply and demand time series for power and energy system analyses}},
  journal = {Scientific Data},
  year = {2024},
  volume = {11},
  pages = {1324},
  doi = {10.1038/s41597-024-04129-8}
}

@article{ruggles2024planning,
  author = {T.H. Ruggles and E. Virgüez and N. Reich and J. Dowling and H. Bloomfield and E.G.A. Antonini and S.J. Davis and N.S. Lewis and K. Caldeira},
  title = {{Planning reliable wind- and solar-based electricity systems}},
  journal = {Advances in Applied Energy},
  year = {2024},
  volume = {15},
  pages = {100185},
  doi = {10.1016/j.adapen.2024.100185}
}

@article{antonini2024droughts,
  author = {E.G.A. Antonini and E. Virgüez and S. Ashfaq and L. Duan and T.H. Ruggles and K. Caldeira},
  title = {{Identification of reliable locations for wind power generation through a global analysis of wind droughts}},
  journal = {Communications Earth & Environment},
  year = {2024},
  volume = {5},
  number = {1},
  pages = {103},
  doi = {10.1038/s43247-024-01260-7}
}

@article{romero2024wakes,
  author = {D.A. Romero and S. Hasanpoor and E.G.A. Antonini and C.H. Amon},
  title = {{Predicting wind farm wake losses with deep convolutional hierarchical encoder–decoder neural networks}},
  journal = {APL Machine Learning},
  year = {2024},
  volume = {2},
  number = {1},
  pages = {016111},
  doi = {10.1063/5.0168973}
}

@article{antonini2022quantity,
  author = {E.G.A. Antonini and T. Ruggles and D.J. Farnham and K. Caldeira},
  title = {{The quantity-quality transition in the value of expanding wind and solar power generation}},
  journal = {iScience},
  year = {2022},
  volume = {25},
  number = {4},
  pages = {104140},
  doi = {10.1016/j.isci.2022.104140}
}

@inproceedings{antonini2021imece,
  author = {E.G.A. Antonini and T. Ruggles and D.J. Farnham and K. Caldeira},
  title = {{Meeting electricity demand with distributed wind and solar generation: System flexibility drives optimal siting}},
  booktitle = {Proceedings of the ASME International Mechanical Engineering Congress and Exposition},
  year = {2021},
  pages = {IMECE2021-70678},
  doi = {10.1115/IMECE2021-70678}
}

@article{antonini2021pnas,
  author = {E.G.A. Antonini and K. Caldeira},
  title = {{Spatial constraints in large-scale expansion of wind power plants}},
  journal = {Proceedings of the National Academy of Sciences},
  year = {2021},
  volume = {118},
  number = {27},
  pages = {e2103875118},
  doi = {10.1073/pnas.2103875118}
}

@article{dhoot2021inference,
  author = {A. Dhoot and E.G.A. Antonini and D.A. Romero and C.H. Amon},
  title = {{Optimizing wind farms layouts for maximum energy production using probabilistic inference: Benchmarking reveals superior computational efficiency and scalability}},
  journal = {Energy},
  year = {2021},
  volume = {223},
  pages = {120035},
  doi = {10.1016/j.energy.2021.120035}
}

@article{antonini2021coriolis,
  author = {E.G.A. Antonini and K. Caldeira},
  title = {{Atmospheric pressure gradients and Coriolis forces provide geophysical limits to power density of large wind farms}},
  journal = {Applied Energy},
  year = {2021},
  volume = {281},
  pages = {116048},
  doi = {10.1016/j.apenergy.2020.116048}
}

@article{antonini2020complex,
  author = {E.G.A. Antonini and D.A. Romero and C.H. Amon},
  title = {{Optimal design of wind farms in complex terrains using computational fluid dynamics and adjoint methods}},
  journal = {Applied Energy},
  year = {2020},
  volume = {261},
  pages = {114426},
  doi = {10.1016/j.apenergy.2019.114426}
}

@article{antonini2019direction,
  author = {E.G.A. Antonini and D.A. Romero and C.H. Amon},
  title = {{Improving CFD wind farm simulations incorporating wind direction uncertainty}},
  journal = {Renewable Energy},
  year = {2019},
  volume = {133},
  pages = {1011--1023},
  doi = {10.1016/j.renene.2018.10.084}
}

@article{antonini2018adjoint,
  author = {E.G.A. Antonini and D.A. Romero and C.H. Amon},
  title = {{Continuous adjoint formulation for wind farm layout optimization: A 2D implementation}},
  journal = {Applied Energy},
  year = {2018},
  volume = {228},
  pages = {2333--2345},
  doi = {10.1016/j.apenergy.2018.07.076}
}

@article{antonini2018turbulence,
  author = {E.G.A. Antonini and D.A. Romero and C.H. Amon},
  title = {{Analysis and modifications of turbulence models for wind turbine wake simulations in atmospheric boundary layers}},
  journal = {Journal of Solar Energy Engineering},
  year = {2018},
  volume = {140},
  number = {3},
  pages = {031007},
  doi = {10.1115/1.4039377}
}

@inproceedings{antonini2016imece,
  author = {E.G.A. Antonini and D.A. Romero and C.H. Amon},
  title = {{Analysis and modifications of turbulence models for wind turbine wake simulations in atmospheric boundary layers}},
  booktitle = {Proceedings of the ASME International Mechanical Engineering Congress and Exposition},
  year = {2016},
  pages = {IMECE2016-67353},
  doi = {10.1115/IMECE2016-67353}
}

@article{antonini2015vortex,
  author = {E.G.A. Antonini and G. Bedon and S. De Betta and L. Michelini and M. Raciti Castelli and E. Benini},
  title = {{Innovative discrete-vortex model for dynamic stall simulations}},
  journal = {AIAA Journal},
  year = {2015},
  volume = {53},
  number = {2},
  pages = {479--485},
  doi = {10.2514/1.J053430}
}

@article{bedon2014databases,
  author = {G. Bedon and E.G.A. Antonini and S. De Betta and M. Raciti Castelli and E. Benini},
  title = {{Evaluation of the different aerodynamic databases for vertical axis wind turbine simulations}},
  journal = {Renewable and Sustainable Energy Reviews},
  year = {2014},
  volume = {40},
  pages = {386--399},
  doi = {10.1016/j.rser.2014.07.126}
}