Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Tuhfe Göçmen"'
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:
Nikolay Dimitrov, Tuhfe Göçmen
Publikováno v:
Wind Energy, Vol 25, Iss 9, Pp 1626-1645 (2022)
Abstract Modern wind turbines have multiple sensors installed and provide constant data stream outputs; however, there are some important quantities where installing physical sensors is either impractical or the sensor technology is not sufficiently
Externí odkaz:
https://doaj.org/article/2f978804646e45939d32c2964ae2ad84
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
Autor:
Jens Visbech, Tuhfe Göçmen, Charlotte Bay Hasager, Hristo Shkalov, Morten Handberg, Kristian Pagh Nielsen
Publikováno v:
Visbech, J, Göçmen, T, Hasager, C B, Shkalov, H, Handberg, M & Nielsen, K P 2023, ' Introducing a data-driven approach to predict site-specific leading-edge erosion from mesoscale weather simulations ', Wind Energy Science, vol. 8, no. 2, pp. 173-191 . https://doi.org/10.5194/wes-8-173-2023
Modeling leading-edge erosion has been a challenging task due to its multidisciplinary nature involving several variables such as weather conditions, blade coating properties, and operational characteristics. While the process of wind turbine blade e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98a5012c13fd8e53049bb27ecc556508
https://doi.org/10.5194/wes-8-173-2023
https://doi.org/10.5194/wes-8-173-2023
Autor:
John Thomas Lyons, Tuhfe Göçmen
Publikováno v:
Energies, Vol 14, Iss 13, p 3756 (2021)
As the amount of information collected by wind turbines continues to grow, so too does the potential of its leveraging. The application of machine learning techniques as an advanced analytic tool has proven effective in solving tasks whose inherent c
Externí odkaz:
https://doaj.org/article/70089fb256fb4c4398f2caaba6fa99c7
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:
Johan Meyers, Carlo Bottasso, Katherine Dykes, Paul Fleming, Pieter Gebraad, Gregor Giebel, Tuhfe Göçmen, Jan-Willem van Wingerden
Publikováno v:
Wind Energy Science, 7(6)
Wind Energy Science Discussions
Meyers, J, Bottasso, C, Dykes, K, Fleming, P, Gebraad, P, Giebel, G, Göçmen, T & van Wingerden, J-W 2022, ' Wind farm flow control: prospects and challenges ', Wind Energy Science, vol. 7, no. 6, pp. 2271-2306 . https://doi.org/10.5194/wes-7-2271-2022
Wind Energy Science Discussions
Meyers, J, Bottasso, C, Dykes, K, Fleming, P, Gebraad, P, Giebel, G, Göçmen, T & van Wingerden, J-W 2022, ' Wind farm flow control: prospects and challenges ', Wind Energy Science, vol. 7, no. 6, pp. 2271-2306 . https://doi.org/10.5194/wes-7-2271-2022
Wind farm control has been a topic of research for more than two decades. It has been identified as a core component of grand challenges in wind energy science to support accelerated wind energy deployment and to transition to a clean and sustainable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3b5010b54a71cf145309424cda17bee
https://wes.copernicus.org/articles/7/2271/2022/
https://wes.copernicus.org/articles/7/2271/2022/
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