IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v101y2013icp432-440.html
   My bibliography  Save this item

An application of the actuator disc model for wind turbine wakes calculations

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Van Thinh Nguyen & Alina Santa Cruz & Sylvain S. Guillou & Mohamad N. Shiekh Elsouk & Jérôme Thiébot, 2019. "Effects of the Current Direction on the Energy Production of a Tidal Farm: The Case of Raz Blanchard (France)," Energies, MDPI, vol. 12(13), pages 1-20, June.
  2. Tian, Linlin & Song, Yilei & Zhao, Ning & Shen, Wenzhong & Zhu, Chunling & Wang, Tongguang, 2020. "Effects of turbulence modelling in AD/RANS simulations of single wind & tidal turbine wakes and double wake interactions," Energy, Elsevier, vol. 208(C).
  3. Nguyen, Van Thinh & Guillou, Sylvain S. & Thiébot, Jérôme & Santa Cruz, Alina, 2016. "Modelling turbulence with an Actuator Disk representing a tidal turbine," Renewable Energy, Elsevier, vol. 97(C), pages 625-635.
  4. Lo Brutto, Ottavio A. & Thiébot, Jérôme & Guillou, Sylvain S. & Gualous, Hamid, 2016. "A semi-analytic method to optimize tidal farm layouts – Application to the Alderney Race (Raz Blanchard), France," Applied Energy, Elsevier, vol. 183(C), pages 1168-1180.
  5. Barlas, Emre & Wu, Ka Ling & Zhu, Wei Jun & Porté-Agel, Fernando & Shen, Wen Zhong, 2018. "Variability of wind turbine noise over a diurnal cycle," Renewable Energy, Elsevier, vol. 126(C), pages 791-800.
  6. Davide Astolfi & Fabrizio De Caro & Alfredo Vaccaro, 2023. "Characterizing the Wake Effects on Wind Power Generator Operation by Data-Driven Techniques," Energies, MDPI, vol. 16(15), pages 1-19, August.
  7. Ge, Mingwei & Wu, Ying & Liu, Yongqian & Li, Qi, 2019. "A two-dimensional model based on the expansion of physical wake boundary for wind-turbine wakes," Applied Energy, Elsevier, vol. 233, pages 975-984.
  8. Sanchez, Valentin & Pallares, Jordi & Vernet, Anton & Agafonova, Oxana & Hämäläinen, Jari, 2016. "A Multiple Actuator Block model for vertical axis wind turbines," Renewable Energy, Elsevier, vol. 99(C), pages 592-601.
  9. Castellani, Francesco & Astolfi, Davide & Sdringola, Paolo & Proietti, Stefania & Terzi, Ludovico, 2017. "Analyzing wind turbine directional behavior: SCADA data mining techniques for efficiency and power assessment," Applied Energy, Elsevier, vol. 185(P2), pages 1076-1086.
  10. Regodeseves, P. García & Morros, C. Santolaria, 2024. "Development and assessment of an actuator volume method in rotating frame for predicting the flow-field of horizontal-axis wind turbines," Energy, Elsevier, vol. 293(C).
  11. Meng, Hang & Lien, Fue-Sang & Li, Li, 2018. "Elastic actuator line modelling for wake-induced fatigue analysis of horizontal axis wind turbine blade," Renewable Energy, Elsevier, vol. 116(PA), pages 423-437.
  12. Chehouri, Adam & Younes, Rafic & Ilinca, Adrian & Perron, Jean, 2015. "Review of performance optimization techniques applied to wind turbines," Applied Energy, Elsevier, vol. 142(C), pages 361-388.
  13. Castellani, Francesco & Garinei, Alberto, 2013. "On the way to harness high-altitude wind power: Defining the operational asset for an airship wind generator," Applied Energy, Elsevier, vol. 112(C), pages 592-600.
  14. Gao, Xiaoxia & Chen, Yao & Xu, Shinai & Gao, Wei & Zhu, Xiaoxun & Sun, Haiying & Yang, Hongxing & Han, Zhonghe & Wang, Yu & Lu, Hao, 2022. "Comparative experimental investigation into wake characteristics of turbines in three wind farms areas with varying terrain complexity from LiDAR measurements," Applied Energy, Elsevier, vol. 307(C).
  15. Dai, Juchuan & Yang, Xin & Hu, Wei & Wen, Li & Tan, Yayi, 2018. "Effect investigation of yaw on wind turbine performance based on SCADA data," Energy, Elsevier, vol. 149(C), pages 684-696.
  16. Miller, Aaron & Chang, Byungik & Issa, Roy & Chen, Gerald, 2013. "Review of computer-aided numerical simulation in wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 122-134.
  17. Brown, S.A. & Ransley, E.J. & Greaves, D.M., 2020. "Developing a coupled turbine thrust methodology for floating tidal stream concepts: Verification under prescribed motion," Renewable Energy, Elsevier, vol. 147(P1), pages 529-540.
  18. Amini, Shayesteh & Golzarian, Mahmood Reza & Mahmoodi, Esmail & Jeromin, Andres & Abbaspour-Fard, Mohammad Hossein, 2021. "Numerical simulation of the Mexico wind turbine using the actuator disk model along with the 3D correction of aerodynamic coefficients in OpenFOAM," Renewable Energy, Elsevier, vol. 163(C), pages 2029-2036.
  19. Yimei Wang & Yongqian Liu & Li Li & David Infield & Shuang Han, 2018. "Short-Term Wind Power Forecasting Based on Clustering Pre-Calculated CFD Method," Energies, MDPI, vol. 11(4), pages 1-19, April.
  20. Bontempo, R. & Manna, M., 2014. "Performance analysis of open and ducted wind turbines," Applied Energy, Elsevier, vol. 136(C), pages 405-416.
  21. Kuo, Jim Y.J. & Romero, David A. & Beck, J. Christopher & Amon, Cristina H., 2016. "Wind farm layout optimization on complex terrains – Integrating a CFD wake model with mixed-integer programming," Applied Energy, Elsevier, vol. 178(C), pages 404-414.
  22. Astolfi, Davide & Castellani, Francesco & Garinei, Alberto & Terzi, Ludovico, 2015. "Data mining techniques for performance analysis of onshore wind farms," Applied Energy, Elsevier, vol. 148(C), pages 220-233.
  23. Zhong, Hongmin & Du, Pingan & Tang, Fangning & Wang, Li, 2015. "Lagrangian dynamic large-eddy simulation of wind turbine near wakes combined with an actuator line method," Applied Energy, Elsevier, vol. 144(C), pages 224-233.
  24. Zhaobin Li & Xiaolei Yang, 2020. "Evaluation of Actuator Disk Model Relative to Actuator Surface Model for Predicting Utility-Scale Wind Turbine Wakes," Energies, MDPI, vol. 13(14), pages 1-18, July.
  25. Huanqiang, Zhang & Xiaoxia, Gao & Hongkun, Lu & Qiansheng, Zhao & Xiaoxun, Zhu & Yu, Wang & Fei, Zhao, 2024. "Investigation of a new 3D wake model of offshore floating wind turbines subjected to the coupling effects of wind and wave," Applied Energy, Elsevier, vol. 365(C).
  26. Gao, Xiaoxia & Li, Bingbing & Wang, Tengyuan & Sun, Haiying & Yang, Hongxing & Li, Yonghua & Wang, Yu & Zhao, Fei, 2020. "Investigation and validation of 3D wake model for horizontal-axis wind turbines based on filed measurements," Applied Energy, Elsevier, vol. 260(C).
  27. Huilai Ren & Xiaodong Zhang & Shun Kang & Sichao Liang, 2018. "Actuator Disc Approach of Wind Turbine Wake Simulation Considering Balance of Turbulence Kinetic Energy," Energies, MDPI, vol. 12(1), pages 1-19, December.
  28. Dominguez, Favio & Achard, Jean-Luc & Zanette, Jerônimo & Corre, Christophe, 2016. "Fast power output prediction for a single row of ducted cross-flow water turbines using a BEM-RANS approach," Renewable Energy, Elsevier, vol. 89(C), pages 658-670.
  29. Bontempo, R. & Manna, M., 2020. "Diffuser augmented wind turbines: Review and assessment of theoretical models," Applied Energy, Elsevier, vol. 280(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.