Service operation vessels for offshore wind farm maintenance: Optimal stock levels

作     者：Neves-Moreira, Fabio Veldman, Jasper Teunter, Ruud H. 

作者机构：Univ Groningen POB 800 NL-9700 AV Groningen Netherlands 

出 版 物：《RENEWABLE & SUSTAINABLE ENERGY REVIEWS》 (再生能源及持续能源评论)

年 卷 期：2021年第146卷

页      面：111158-111158页

核心收录：

学科分类：0820[工学-石油与天然气工程] 080703[工学-动力机械及工程] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：Dutch NWO [438-13-216] Netherland-Dinalog program 'Sustainable Logistics' 

主　　题：Offshore wind energy Repair kit problem Weather conditions Mixed-integer programming Matheuristic Managerial insights 

摘      要：Service operation vessels are becoming the dominant mode for the maintenance of most offshore wind farms. To minimize turbine downtime, it is essential to bring the right components to the wind farm, while budget and volume constraints prohibit having excess inventories on board. This setting can be interpreted as a repair kit problem, which seeks to define a set of components that may be necessary for on-site maintenance operations in a given time period during which emergency resupply is costly. Current repair kit problem approaches however, do not cater sufficiently for some of the characteristics of offshore wind farm maintenance, including weather dependent deterioration and the possibility to perform emergency resupplies. We propose mixed-integer programming models both to determine (tactical model) and validate (operational model) repair kits when maintenance operations are performed under different weather conditions. The models are flexible enough to be used with real world data considering multiple turbines composed of different deteriorating components, service operation vessels characteristics (speed and volumetric capacity), different weather conditions, and emergency resupplies. An important feature of this approach is its ability to consider detailed maintenance and vessel routing operations to test and validate repair kits in realistic wind farm environments. We provide valuable insights on the composition of repair kits and on relevant business indicators for a set of different scenarios. The practical implications are that repair kits should be adapted depending on weather forecasts and that considerable downtime reductions can be achieved by allowing emergency resupplies.