Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Jaime Liew"'
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
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Despite substantial growth in wind energy technology in recent decades, aerodynamic modeling of wind turbines relies on momentum models derived in the late 19th and early 20th centuries, which are well-known to break down under flow regimes
Externí odkaz:
https://doaj.org/article/331496e99ae344b99feb92f269588720
Publikováno v:
Wind Energy, Vol 25, Iss 4, Pp 719-734 (2022)
Abstract Forecasting in wind energy is a crucial task to perform adequate wind farm flow control or to participate in the energy market. While many power forecasting methods exist, it is notoriously difficult to capture both short‐ and long‐term
Externí odkaz:
https://doaj.org/article/d73d238b0f5245c1b888f80eaf50f8a1
With the increasing growth of wind farm installations, the impact of wake effects from wind turbines on power output, structural loads, and revenue has become a major concern. Hence, there is a need for precise simulation tools to facilitate efficien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1b01ad29db26862d8bc591a0a866427
https://doi.org/10.5194/wes-2023-14
https://doi.org/10.5194/wes-2023-14
Publikováno v:
Liew, J, Göçmen, T, Hou Lio, W & Larsen, G C 2022, ' Streaming dynamic mode decomposition for short-term forecasting in wind farms ', Wind Energy, vol. 25, no. 4, pp. 719-734 . https://doi.org/10.1002/we.2694
Forecasting in wind energy is a crucial task to perform adequate wind farm flow control or to participate in the energy market. While many power forecasting methods exist, it is notoriously difficult to capture both short- and long-term variations in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::672e7aaedb7595235e92d2e9b103246d
https://doi.org/10.1002/we.2694
https://doi.org/10.1002/we.2694
Autor:
Tuhfe Göçmen, Filippo Campagnolo, Thomas Duc, Irene Eguinoa, Søren Juhl Andersen, Vlaho Petrović, Lejla Imširović, Robert Braunbehrens, Jaime Liew, Mads Baungaard, Maarten Paul van der Laan, Guowei Qian, Maria Aparicio-Sanchez, Rubén González-Lope, Vinit V. Dighe, Marcus Becker, Maarten J. van den Broek, Jan-Willem van Wingerden, Adam Stock, Matthew Cole, Renzo Ruisi, Ervin Bossanyi, Niklas Requate, Simon Strnad, Jonas Schmidt, Lukas Vollmer, Ishaan Sood, Johan Meyers
Publikováno v:
Wind Energy Science, 7(5)
Göçmen, T, Campagnolo, F, Duc, T, Eguinoa, I, Andersen, S J, Petrović, V, Imširović, L, Braunbehrens, R, Liew, J, Baungaard, M, van der Laan, M P, Qian, G, Aparicio-Sanchez, M, González-Lope, R, Dighe, V V, Becker, M, van den Broek, M J, van Wingerden, J-W, Stock, A, Cole, M, Ruisi, R, Bossanyi, E, Requate, N, Strnad, S, Schmidt, J, Vollmer, L, Sood, I & Meyers, J 2022, ' FarmConners wind farm flow control benchmark-Part 1: Blind test results ', Wind Energy Science, vol. 7, no. 5, pp. 1791-1825 . https://doi.org/10.5194/wes-7-1791-2022
Göçmen, T, Campagnolo, F, Duc, T, Eguinoa, I, Andersen, S J, Petrović, V, Imširović, L, Braunbehrens, R, Liew, J, Baungaard, M, van der Laan, M P, Qian, G, Aparicio-Sanchez, M, González-Lope, R, Dighe, V V, Becker, M, van den Broek, M J, van Wingerden, J-W, Stock, A, Cole, M, Ruisi, R, Bossanyi, E, Requate, N, Strnad, S, Schmidt, J, Vollmer, L, Sood, I & Meyers, J 2022, ' FarmConners wind farm flow control benchmark-Part 1: Blind test results ', Wind Energy Science, vol. 7, no. 5, pp. 1791-1825 . https://doi.org/10.5194/wes-7-1791-2022
Wind farm flow control (WFFC) is a topic of interest at several research institutes and industry and certification agencies worldwide. For reliable performance assessment of the technology, the efficiency and the capability of the models applied to W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e98bc624248f5a37262ddfdb912e7cd6
https://lirias.kuleuven.be/handle/20.500.12942/704128
https://lirias.kuleuven.be/handle/20.500.12942/704128
Autor:
Tuhfe Göçmen, Filippo Campagnolo, Thomas Duc, Irene Eguinoa, Søren Juhl Andersen, Vlaho Petrović, Lejla Imširović, Robert Braunbehrens, Ju Feng, Jaime Liew, Mads Baungaard, Maarten Paul van der Laan, Guowei Qian, Maria Aparicio-Sanchez, Rubén González-Lope, Vinit Dighe, Marcus Becker, Maarten van den Broek, Jan-Willem van Wingerden, Adam Stock, Matthew Cole, Renzo Ruisi, Ervin Bossanyi, Niklas Requate, Simon Strnad, Jonas Schmidt, Lukas Vollmer, Frédéric Blondel, Ishaan Sood, Johan Meyers
Publikováno v:
Wind Energy Science Discussions
Wind farm flow control (WFFC) is a topic of interest at several research institutes, industry and certification agencies world-wide. For reliable performance assessment of the technology, the efficiency and the capability of the models applied to WFF
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c3e2696ac9cffe509412251186423d8
https://wes.copernicus.org/preprints/wes-2022-5/
https://wes.copernicus.org/preprints/wes-2022-5/
LES verification of HAWC2Farm aeroelastic wind farm simulations with wake steering and load analysis
Publikováno v:
Journal of Physics: Conference Series. 2265:022069
Wind farm simulation tools are used for a multitude of purposes, including energy yield calculations, wind farm control optimization, layout optimization, structural load analysis, and many more. However, the vast majority of farm software either fai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebd585c90eed5c511d2668ffa83574d3
https://doi.org/10.1088/1742-6596/2265/2/022069
https://doi.org/10.1088/1742-6596/2265/2/022069
Autor:
Jaime Liew, Gunner Chr. Larsen
Publikováno v:
Journal of Physics: Conference Series. 2265:032049
Aeroelastic wind turbine simulations are extensively used in the turbine design process to estimate structural fatigue loading. While it is assumed that more stochastic realisations (seeds) and higher resolution simulations will converge to the ‘tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46a44a76fe0e975d3078556382859099
https://doi.org/10.1088/1742-6596/2265/3/032049
https://doi.org/10.1088/1742-6596/2265/3/032049