Preprints
https://doi.org/10.22541/essoar.169774544.48666734/v1
https://doi.org/10.22541/essoar.169774544.48666734/v1
15 Dec 2023
 | 15 Dec 2023

A parameterization scheme for the floating wind farm in a coupled atmosphere-wave model (COAWST v3.7)

Shaokun Deng, Shengmu Yang, Shengli Chen, Xuefeng Yang, and Shanshan Cui

Abstract. Coupling Weather Research and Forecasting (WRF) model with wind farm parameterization can be effective in examining the performance of large-scale wind farms. However, the current scheme is not suitable for floating wind turbines. In this study, a new scheme is developed for floating wind farm parameterization (FWFP) in the WRF model. The impacts of the side columns of a semi-submersible floating wind turbine on waves are firstly parameterized in the spectral wave model (SWAN) where the key idea is to consider both inertial and drag forces on side columns. A machine learning model is trained using results of idealized high-resolution SWAN simulations and then implemented in the WRF to form the FWFP. The difference between our new scheme and the original scheme in a realistic case is investigated using a coupled atmosphere-wave model. Results indicate that the original scheme underestimates the power output of the entire floating wind farm in the winter scenario. On average, the power output of a single turbine is underestimated by a maximum of 694 kW (12 %). The turbulent kinetic energy decreases within the wind farm, with the greatest drop of 0.4 m2 s−2 at the top of the turbine. This demonstrates that the FWFP is necessary for both predicting the power generated by floating wind farms and evaluating the impact of floating wind farms on the surrounding environment.

Shaokun Deng, Shengmu Yang, Shengli Chen, Xuefeng Yang, and Shanshan Cui

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on egusphere-2023-2805', Astrid Kerkweg, 19 Dec 2023
    • AC1: 'Reply on CEC1', Shaokun Deng, 20 Dec 2023
  • RC1: 'Comment on egusphere-2023-2805', Anonymous Referee #1, 19 Jan 2024
    • AC2: 'Reply on RC1', Shaokun Deng, 13 Feb 2024
  • RC2: 'Comment on egusphere-2023-2805', Anonymous Referee #2, 24 Jan 2024
    • AC3: 'Reply on RC2', Shaokun Deng, 13 Feb 2024
Shaokun Deng, Shengmu Yang, Shengli Chen, Xuefeng Yang, and Shanshan Cui
Shaokun Deng, Shengmu Yang, Shengli Chen, Xuefeng Yang, and Shanshan Cui

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Short summary
Global offshore wind power development is moving from offshore to deeper waters, where floating offshore wind turbines have advantage over bottom fixed. However, current wind farm parameterization schemes in mesoscale models are not applicable to floating turbines. In this study, we propose a floating wind farm parameterization scheme that accounts for the attenuation of the significant wave height by floating turbines. The results indicate that it has a significant effect on the power output.