Wind Energy Science
Wind Energy Science
WES
Articles | Volume 9, issue 4
Articles | Volume 9, issue 4
https://doi.org/10.5194/wes-9-759-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-759-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 4
Research article
 | 
04 Apr 2024
Research article |  | 04 Apr 2024

HyDesign: a tool for sizing optimization of grid-connected hybrid power plants including wind, solar photovoltaic, and lithium-ion batteries

Juan Pablo Murcia Leon, Hajar Habbou, Mikkel Friis-Møller, Megha Gupta, Rujie Zhu, and Kaushik Das

Related authors

Enabling Efficient Sizing of Hybrid Power Plants: A Surrogate-Based Approach to Energy Management System Modeling
Charbel Assaad, Juan Pablo Murcia Leon, Julian Quick, Tuhfe Göçmen, Sami Ghazouani, and Kaushik Das
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2024-96,https://doi.org/10.5194/wes-2024-96, 2024
Preprint under review for WES
Short summary
Convergence and efficiency of global bases using proper orthogonal decomposition for capturing wind turbine wake aerodynamics
Juan Felipe Céspedes Moreno, Juan Pablo Murcia León, and Søren Juhl Andersen
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2024-81,https://doi.org/10.5194/wes-2024-81, 2024
Revised manuscript under review for WES
Short summary
Predictive and stochastic reduced-order modeling of wind turbine wake dynamics
Søren Juhl Andersen and Juan Pablo Murcia Leon
Wind Energ. Sci., 7, 2117–2133, https://doi.org/10.5194/wes-7-2117-2022,https://doi.org/10.5194/wes-7-2117-2022, 2022
Short summary
Comparing and validating intra-farm and farm-to-farm wakes across different mesoscale and high-resolution wake models
Jana Fischereit, Kurt Schaldemose Hansen, Xiaoli Guo Larsén, Maarten Paul van der Laan, Pierre-Elouan Réthoré, and Juan Pablo Murcia Leon
Wind Energ. Sci., 7, 1069–1091, https://doi.org/10.5194/wes-7-1069-2022,https://doi.org/10.5194/wes-7-1069-2022, 2022
Short summary
Power fluctuations in high-installation- density offshore wind fleets
Juan Pablo Murcia Leon, Matti Juhani Koivisto, Poul Sørensen, and Philippe Magnant
Wind Energ. Sci., 6, 461–476, https://doi.org/10.5194/wes-6-461-2021,https://doi.org/10.5194/wes-6-461-2021, 2021
Short summary
More articles (1)

Related subject area

Thematic area: Wind technologies | Topic: Systems engineering
Designing wind turbines for profitability in the day-ahead market
Mihir Kishore Mehta, Michiel Zaaijer, and Dominic von Terzi
Wind Energ. Sci., 9, 2283–2300, https://doi.org/10.5194/wes-9-2283-2024,https://doi.org/10.5194/wes-9-2283-2024, 2024
Short summary
Aerodynamic effects of leading-edge erosion in wind farm flow modeling
Jens Visbech, Tuhfe Göçmen, Özge Sinem Özçakmak, Alexander Meyer Forsting, Ásta Hannesdóttir, and Pierre-Elouan Réthoré
Wind Energ. Sci., 9, 1811–1826, https://doi.org/10.5194/wes-9-1811-2024,https://doi.org/10.5194/wes-9-1811-2024, 2024
Short summary
Control co-design optimization of floating offshore wind turbines with tuned liquid multi-column dampers
Wei Yu, Sheng Tao Zhou, Frank Lemmer, and Po Wen Cheng
Wind Energ. Sci., 9, 1053–1068, https://doi.org/10.5194/wes-9-1053-2024,https://doi.org/10.5194/wes-9-1053-2024, 2024
Short summary
Knowledge engineering for wind energy
Yuriy Marykovskiy, Thomas Clark, Justin Day, Marcus Wiens, Charles Henderson, Julian Quick, Imad Abdallah, Anna Maria Sempreviva, Jean-Paul Calbimonte, Eleni Chatzi, and Sarah Barber
Wind Energ. Sci., 9, 883–917, https://doi.org/10.5194/wes-9-883-2024,https://doi.org/10.5194/wes-9-883-2024, 2024
Short summary
Drivers for optimum sizing of wind turbines for offshore wind farms
Mihir Mehta, Michiel Zaaijer, and Dominic von Terzi
Wind Energ. Sci., 9, 141–163, https://doi.org/10.5194/wes-9-141-2024,https://doi.org/10.5194/wes-9-141-2024, 2024
Short summary
More articles (4)

Cited articles

Al-Lawati, R. A., Crespo-Vazquez, J. L., Faiz, T. I., Fang, X., and Noor-E-Alam, M.: Two-stage stochastic optimization frameworks to aid in decision-making under uncertainty for variable resource generators participating in a sequential energy market, Appl. Energ., 292, 116882, 2021. a
Astolfi, D., Pandit, R., Celesti, L., Lombardi, A., and Terzi, L.: SCADA data analysis for long-term wind turbine performance assessment: A case study, Sustainable Energy Technologies and Assessments, 52, 102357, https://doi.org/10.1016/j.seta.2022.102357, 2022. a
Bech, J. I., Hasager, C. B., and Bak, C.: Extending the life of wind turbine blade leading edges by reducing the tip speed during extreme precipitation events, Wind Energ. Sci., 3, 729–748, https://doi.org/10.5194/wes-3-729-2018, 2018. a
Bouhlel, M. A., Bartoli, N., Otsmane, A., and Morlier, J.: An improved approach for estimating the hyperparameters of the kriging model for high-dimensional problems through the partial least squares method, Math. Probl. Eng., 2016, 6723410, https://doi.org/10.1155/2016/6723410, 2016a. a
Bouhlel, M. A., Bartoli, N., Otsmane, A., and Morlier, J.: Improving kriging surrogates of high-dimensional design models by Partial Least Squares dimension reduction, Struct. Multidiscip. O., 53, 935–952, 2016b. a
More articles (43)
Download
Short summary
A methodology for an early design of hybrid power plants (wind, solar, PV, and Li-ion battery storage) consisting of a nested optimization that sizes the components and internal operation optimization. Traditional designs that minimize the levelized cost of energy give worse business cases and do not include storage. Optimal operation balances the increasing revenues and faster battery degradation. Battery degradation and replacement costs are needed to estimate the viability of hybrid projects.
Read more
Altmetrics
Final-revised paper
Preprint