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Optimization of O&M for Offshore Wind Farms Modelling

Nivet, T; Muk-Pavic, E; (2015) Optimization of O&M for Offshore Wind Farms Modelling. In: (Proceedings) World Maritime Technology Convention 2015. SNAME Green open access

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Abstract

Offshore wind energy is one of the most upcoming sources of energy, and it is already partially replacing the fossil fuelled power production. However, offshore wind turbine technology is also associated with harsher weather environment. Indeed, it experiences more challenging wind and wave conditions, which in turn limits the vessels capabilities to access the wind farms. Additionally, with the constant rise of power utilization, improvements in the Operation Maintenance (O&M) planning are crucial for the development of large isolated offshore wind farms. Improvements in the planning of the O&M for offshore wind farms could lead to considerable reduction in costs. For this reason, the interest of this research paper is the investigation of the most cost effective approach to offshore turbine maintenance strategies. This objective is achieved by implementing a simulation approach that includes a climate conditions analysis, an operation analysis, a failure evaluation and a simulation of the repairs. This paper points out how different O&M strategies can influence the sustainability of a wind farm.

Type: Proceedings paper
Title: Optimization of O&M for Offshore Wind Farms Modelling
Event: World Maritime Technology Convention 2015
Location: Providence, Rhode Island, USA
Dates: 03 November 2015 - 07 November 2015
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.sname.org/pubs/viewtechnicalpaper?Docum...
Language: English
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/1536284
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