Effective balancing of preventive maintenance cost and energy loss to improve wind turbine performance

Abstract

Sustainable energy depends on the reliability and efficiency of wind turbines, making preventive maintenance a vital factor in ensuring their optimal performance. This paper introduces an innovative methodology utilizing Monte Carlo simulation to optimize maintenance intervals, focusing on a balanced approach that reduces both maintenance costs and energy losses. It advocates for a grouped maintenance strategy, demonstrating its superior impact on production efficiency compared to individualized approaches. Through an analysis of cost distribution and energy losses, the research establishes an optimized equilibrium for preventive maintenance, verified through a numerical case study of wind turbine with 2MW. This example shows a 3.20% increase in energy production, emphasizing the effectiveness of the proposed strategy in maximizing both cost-effectiveness and energy efficiency. By balancing these factors, the framework contributes to advancements in sustainable energy solutions, offering a promising path toward enhanced wind turbine reliability and greater operational efficiencies, ultimately facilitating a smoother transition to sustainable energy worldwide.