A Decision-making Model for Corrective Maintenance of Offshore Wind Turbines Considering Uncertainties

Sathishkumar Nachimuthu, Ming J. Zuo and Yi Ding
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Sathishkumar Nachimuthu: Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada
Ming J. Zuo: Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada
Yi Ding: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Energies, 2019, vol. 12, issue 8, 1-13

Abstract: Maintenance optimization has received special attention among the wind energy research community over the past two decades. This is mainly because of the high degree of uncertainties involved in the execution of operation and maintenance (O&M) activities throughout the lifecycle of wind farms. The increasing complexity in offshore maintenance execution demands applied research and brings forth a need to develop problem-specific maintenance decision-making models. In this paper, a mathematical model is proposed to assist wind farm stakeholders in making critical resource- related decisions for corrective maintenance at offshore wind farms (OWFs), considering uncertainties in turbine failure information.

Keywords: offshore wind farm; offshore wind turbine; maintenance; failure classification; resource decision; uncertainty (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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