The impact of downtime over the long-term energy yield of a floating wind farm. (March 2018)

• Record Type: Journal Article
• Authors: Martini, M.; Guanche, R.; Losada-Campa, I.; Losada, I.J.
• Is Part Of: Renewable energy. Volume 117(2018)
• Page Start: 1
• Page End: 11
• Publication Date: 2018-03
• Subjects: Floating offshore wind -- Downtime -- Operations -- Maintenance -- Failure -- Energy yield; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2017.10.032
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: This paper presents a methodology to evaluate the influence of downtime on the long-term energy yield of a floating wind farm. It is based on the definition and integration of three models: a discrete event model, which simulates failures and reparation times, a floating wind turbine model, which simulates platform motions and operational stops, and a wind farm model, which models wake effects between turbines. The methodology is applied to a wind farm composed by ten floating turbines and located off the coast of Cantabria, Spain. Results indicate that downtime affects significantly the mean energy yield of the farm, which decreases linearly with the mean failure rate, mean reparation time and probability of exceedance of the operational thresholds for the considered case studies.