Ding, Weiye, Jiang, Yingjie, Sun, Hongyue, Ai, Congfang, Qiu, Jiahui, Sun, Naibo and Xie, Zhihua  ORCID: https://orcid.org/0000-0002-5180-8427
2026.
Coupled aerodynamic–structural optimization of floating wind farms with heterogeneous turbine configurations under wake interactions and turbine yaw misalignment.
Ocean Engineering
364
(Part 3)
, 127153.
10.1016/j.oceaneng.2026.127153
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Abstract
The expansion of large-scale offshore wind energy into deep-water regions represents a crucial step toward achieving global renewable energy goals. However, this expansion is significantly complicated by wake effects, which intensify turbine wake interactions, diminish power generation efficiency, and heighten structural safety risks. To address these challenges, this study introduces a Pareto-front identification framework to identify high-value configurations for floating wind farms by integrating yaw control and heterogeneous turbine configurations. A high-fidelity numerical investigation was conducted to systematically quantify how mean turbulent wind speeds (7.6–12.7 m/s), turbine configurations, and yaw misalignment collectively influence wake characteristics, system efficiency, and structural responses. Results show that deploying heterogeneous turbines with distinct ratings and hub heights for leading turbines emerges as a key strategy to co-optimize wake management and overall power output. The investigation of yaw misalignment verifies the existence of a compensatory mechanism, characterized by a trade-off where upstream power losses are offset by corresponding downstream gains. A Pareto-front analysis was conducted over a discrete design space consisting of eight turbine layout configurations and three yaw angles. This Pareto-front analysis identified the "large(L)-small(S)-small(S)" layout as the optimal solution, which effectively balances superior energy capture with enhanced structural resilience. Collectively, the research paradigm provides a foundational framework for designing next-generation wind farms which are both highly efficient and structurally resilient.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Engineering |
| Additional Information: | RRS policy applied |
| Publisher: | Elsevier |
| ISSN: | 0029-8018 |
| Date of First Compliant Deposit: | 30 September 2026 |
| Date of Acceptance: | 19 July 2026 |
| Last Modified: | 30 Sep 2026 11:15 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/188466 |
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