First Lean, then modularisation: improving the maintenance of offshore wind turbines

Kristian R. Petersen, Erik Skov Madsen, Arne Bilberg

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

Purpose – This paper aims to explore how maintenance tasks can be planned and executed in a smarter way and, consequently, how the operations and maintenance of offshore wind power installations can be improved through modularisation.
Design/methodology/approach – This is a case study of one of Europe’s leading offshore wind power operators with more than 1,000 wind turbine generators in operation. By focusing on this
company, in-depth insights into its operations and maintenance processes are investigated.
Findings – Lean is identified to constitute an important first step before the modularisation of maintenance tasks. The modularisation of the maintenance of offshore wind farms is identified to
reduce preventive maintenance times.
Practical implications – The paper develops a process to identify the resources needed for maintenance before the modularisation of maintenance tasks and resources can take place. The authors
also establish a foundation for the development of a software tool to support the development of the modularisation of maintenance tasks.
Originality/value – The present study contributes to the rather immature field of research on the operations and maintenance of offshore wind power. Furthermore, it adds to the emerging research area
of service modularity
OriginalsprogEngelsk
TidsskriftInternational Journal of Energy Sector Management
Vol/bind10
Udgave nummer2
Sider (fra-til)221-244
ISSN1750-6220
DOI
StatusUdgivet - 2016

Fingeraftryk

Offshore wind turbines
Wind power
Offshore wind farms
Modularization
Preventive maintenance
Turbogenerators
Wind turbines

Citer dette

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abstract = "Purpose – This paper aims to explore how maintenance tasks can be planned and executed in a smarter way and, consequently, how the operations and maintenance of offshore wind power installations can be improved through modularisation.Design/methodology/approach – This is a case study of one of Europe’s leading offshore wind power operators with more than 1,000 wind turbine generators in operation. By focusing on thiscompany, in-depth insights into its operations and maintenance processes are investigated.Findings – Lean is identified to constitute an important first step before the modularisation of maintenance tasks. The modularisation of the maintenance of offshore wind farms is identified toreduce preventive maintenance times.Practical implications – The paper develops a process to identify the resources needed for maintenance before the modularisation of maintenance tasks and resources can take place. The authorsalso establish a foundation for the development of a software tool to support the development of the modularisation of maintenance tasks.Originality/value – The present study contributes to the rather immature field of research on the operations and maintenance of offshore wind power. Furthermore, it adds to the emerging research areaof service modularity",
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First Lean, then modularisation : improving the maintenance of offshore wind turbines. / Petersen, Kristian R.; Madsen, Erik Skov; Bilberg, Arne.

I: International Journal of Energy Sector Management, Bind 10, Nr. 2, 2016, s. 221-244.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

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T2 - improving the maintenance of offshore wind turbines

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AU - Madsen, Erik Skov

AU - Bilberg, Arne

PY - 2016

Y1 - 2016

N2 - Purpose – This paper aims to explore how maintenance tasks can be planned and executed in a smarter way and, consequently, how the operations and maintenance of offshore wind power installations can be improved through modularisation.Design/methodology/approach – This is a case study of one of Europe’s leading offshore wind power operators with more than 1,000 wind turbine generators in operation. By focusing on thiscompany, in-depth insights into its operations and maintenance processes are investigated.Findings – Lean is identified to constitute an important first step before the modularisation of maintenance tasks. The modularisation of the maintenance of offshore wind farms is identified toreduce preventive maintenance times.Practical implications – The paper develops a process to identify the resources needed for maintenance before the modularisation of maintenance tasks and resources can take place. The authorsalso establish a foundation for the development of a software tool to support the development of the modularisation of maintenance tasks.Originality/value – The present study contributes to the rather immature field of research on the operations and maintenance of offshore wind power. Furthermore, it adds to the emerging research areaof service modularity

AB - Purpose – This paper aims to explore how maintenance tasks can be planned and executed in a smarter way and, consequently, how the operations and maintenance of offshore wind power installations can be improved through modularisation.Design/methodology/approach – This is a case study of one of Europe’s leading offshore wind power operators with more than 1,000 wind turbine generators in operation. By focusing on thiscompany, in-depth insights into its operations and maintenance processes are investigated.Findings – Lean is identified to constitute an important first step before the modularisation of maintenance tasks. The modularisation of the maintenance of offshore wind farms is identified toreduce preventive maintenance times.Practical implications – The paper develops a process to identify the resources needed for maintenance before the modularisation of maintenance tasks and resources can take place. The authorsalso establish a foundation for the development of a software tool to support the development of the modularisation of maintenance tasks.Originality/value – The present study contributes to the rather immature field of research on the operations and maintenance of offshore wind power. Furthermore, it adds to the emerging research areaof service modularity

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KW - Optimization

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