Zobrazeno 1 - 10
of 14 736
pro vyhledávání: '"Wind Farm"'
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 16, Pp 3563-3573 (2024)
Abstract Balancing electricity demand and sustainable energy generation like wind energy presents challenges for the smart grid. To address this problem, the optimization of a wind farm (WF) along with the battery energy storage (BES) on the supply s
Externí odkaz:
https://doaj.org/article/167544622b9d4b8eae8fa8b52ecbb720
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 16, Pp 4047-4055 (2024)
Abstract This paper proposes an active and reactive power dispatch method for a wind farms (WF) considering the real‐time service quality and the available power to achieve the fair power allocation within the WF. The goal is to ensure operational
Externí odkaz:
https://doaj.org/article/9c38918420b44e349015ae97d3be28ff
Autor:
Michael J. LoCascio, Christopher J. Bay, Luis A. Martínez‐Tossas, Majid Bastankhah, Catherine Gorlé
Publikováno v:
Wind Energy, Vol 27, Iss 12, Pp 1563-1580 (2024)
ABSTRACT Annual energy production (AEP) is commonly used in objective functions for wind farm layout optimization. AEP is proportional to wind farm power production integrated over an annual distribution of free‐stream wind conditions. Physics‐ba
Externí odkaz:
https://doaj.org/article/b9430fb15cb24112af93cd47e5c50ee7
Publikováno v:
南方能源建设, Vol 11, Iss 6, Pp 111-123 (2024)
[Introduction] In order to test the applicability of sea surface wind field data set in Yangjiang offshore wind farm area, this paper tests and evaluates the 10 m wind field of daily gridded advanced scatterometer (DASCAT), European centre for medium
Externí odkaz:
https://doaj.org/article/13933cc18d4a4708947871e04039d3be
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 15, Pp 3301-3316 (2024)
Abstract This article presents a novel methodology to maximize wind farm power generation by integrating graph neural networks (GNN), supervised learning, and reinforcement learning techniques. First, the article introduces a graph‐based representa
Externí odkaz:
https://doaj.org/article/736a40724d954005ac695875e3aa04e3
Autor:
Riccardo Travaglini, Francesco Superchi, Francesco Lanni, Giovanni Manzini, Laura Serri, Alessandro Bianchini
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 15, Pp 3112-3126 (2024)
Abstract Bringing floating offshore wind turbines (FOWTs) to a real industrial maturity and reducing the levelized cost of floating wind energy are key to significantly increasing the penetration of renewables in the energy mix of Mediterranean count
Externí odkaz:
https://doaj.org/article/ccde239515a043bebec71b003cc807cb
Publikováno v:
Wind Energy, Vol 27, Iss 11, Pp 1173-1187 (2024)
Abstract Wind farms experience significant power losses due to wake interactions between turbines. Research shows that wake steering can alleviate these losses by redirecting the flow through the farm. However, dynamic closed‐loop implementations o
Externí odkaz:
https://doaj.org/article/34ea3761bc574198b816a8065eddbcf9
Autor:
Coleman Moss, Matteo Puccioni, Romit Maulik, Clément Jacquet, Dale Apgar, Giacomo Valerio Iungo
Publikováno v:
Wind Energy, Vol 27, Iss 11, Pp 1268-1285 (2024)
Abstract Flow modifications induced by wind turbine rotors on the incoming atmospheric boundary layer (ABL), such as blockage and speedups, can be important factors affecting the power performance and annual energy production (AEP) of a wind farm. Fu
Externí odkaz:
https://doaj.org/article/be0b2294d28240a3a310127d360729f1
Publikováno v:
Wind Energy, Vol 27, Iss 11, Pp 1302-1318 (2024)
Abstract This paper presents a graph‐based dynamic yaw model to predict the dynamic response of the hub‐height velocities and the power of a wind farm to a change in yaw. The model builds on previous work where the turbines define the nodes of th
Externí odkaz:
https://doaj.org/article/8763dbd48033411982c1aeb54d570635
Publikováno v:
Wind Energy, Vol 27, Iss 11, Pp 1245-1267 (2024)
Abstract The power performance and the wind velocity field of an onshore wind farm are predicted with machine learning models and the pseudo‐2D RANS model, then assessed against SCADA data. The wind farm under investigation is one of the sites invo
Externí odkaz:
https://doaj.org/article/8c53a004e8e840ddb9465257d4d45659