Thermodynamic Performance Analysis and Multi-Objective Optimization Design of Cooling Systems in Wind Farms

Against the backdrop of global energy transition, the continuous growth in both the installed capacity of wind farms and the power rating of individual turbines has made efficient heat dissipation of core components in high-power wind turbines critical for ensuring their reliable operation.Existing cooling system designs often rely on empirical parameters or simplified models, leading to issues such as uneven heat transfer, significant flow resistance losses, and insufficient multi-objective optimization.Most current studies focus on optimizing single performance indicators, with limited attention to the complex fluid-thermal coupling characteristics, dynamic response under multiple operating conditions, and the coordinated optimization of thermodynamic performance and economic considerations.Traditional single-objective methods are prone to local optima and often lack practical applicability.To address these challenges, this study conducts a comprehensive thermodynamic performance analysis and multi-objective optimization design of cooling systems in wind farms.A fluid-thermal coupled model based on computational fluid dynamics (CFD) is first developed to reveal the distribution patterns of velocity and temperature fields under various conditions, and to analyze the intrinsic coupling mechanisms between heat transfer efficiency and flow resistance.Subsequently, a multi-objective genetic algorithm is introduced to construct an optimization model that incorporates material properties and manufacturing constraints.Through parameter sensitivity analysis, a Pareto-optimal solution set is obtained and its engineering feasibility is evaluated.The findings offer an optimization strategy that balances thermodynamic performance and cost-effectiveness, overcoming the limitations of traditional singleobjective approaches.This research provides theoretical and practical insights for improving the overall performance of high-power wind turbines under complex operating conditions.