Offshore wind turbines are exposed to harsh maritime conditions. This makes the planning of the maintenance processes more challenging and therefore cost-intensive compared to onshore wind turbines. To deal with these challenges, it is important to investigate the impact of different maintenance strategies, e.g. reactive and predictive maintenance on the turbines’ performance. In this context, the availability of turbines, the energy production and the overall maintenance costs are considered. This paper addresses the impact of different maintenance strategies by presenting a parametric multi-agent-based discrete-event simulation. Based on this simulation, we study the variation of failure detection on the performance of the turbines. The results of the simulations show that through a better predictability of the maintenance measures, both, the downtime of wind turbines and the failure consequences can be reduced. Saving potentials lie primarily in the reduction of the material costs and lower production losses.

海上风力涡轮机暴露于恶劣的海上条件。与陆上风力涡轮机相比，这使维护过程的规划更具挑战性，因此成本很高。为了应对这些挑战，重要的是研究不同维护策略的影响，例如被动维护和预测维护对涡轮机性能的影响。在这种情况下，要考虑涡轮的可用性，能源生产和总体维护成本。本文通过提出基于参数，基于多主体的离散事件模拟来解决不同维护策略的影响。基于此模拟，我们研究了故障检测对涡轮机性能的影响。仿真结果表明，通过维护措施的更好的可预测性，两者 可以减少风力涡轮机的停机时间和故障后果。节省的潜力主要在于降低材料成本和降低生产损失。