作者: Yuri Merizalde , Luis Hernández-Callejo , Oscar Duque-Perez , Víctor Alonso-Gómez
DOI: 10.3390/EN12020225
关键词: Turbine 、 Profitability index 、 Range (aeronautics) 、 Context (language use) 、 Operations research 、 Computer science 、 Wind power 、 Fossil fuel
摘要: Wind power generation has been the fastest-growing energy alternative in recent years, however, it still to compete with cheaper fossil sources. This is one of motivations constantly improve efficiency wind turbines and develop new Operation Maintenance (O&M) methodologies. The decisions regarding O&M are based on different types models, which cover a wide range scenarios variables share same goal, minimize Cost Energy (COE) maximize profitability farm (WF). In this context, review aims identify classify, from comprehensive perspective, models used at strategic, tactical, operational decision levels turbine maintenance, emphasizing mathematical (MatMs). investigation allows conclusion that even though evolution methodologies ongoing, making all areas industry currently artificial intelligence machine learning models.