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Operation and Maintenance of offshore wind farms

Hersenius, Catarina and Möller, Ulrika (2011) MIO920
Production Management
Abstract
Objective The main objective is to investigate in what way O&M of offshore
wind farms can be modelled in Systecon’s simulation tool, SIMLOX.
The interim objective is to understand how maintenance of offshore
wind farms is carried out and how this is related to costs and
revenues.
Theory Theory mainly covers the areas of O&M, offshore wind power, life
cycle profit and maintenance strategies. Theory also presents existing
simulation tools for O&M of offshore wind farms.
Conclusions The authors stated that accessibility is the most significant feature for
O&M of offshore wind farms. In brief, wind speed has impact on
wind turbine reliability, choice of transportation mode and wind
farm accessibility. Decreased reliability, vessels... (More)
Objective The main objective is to investigate in what way O&M of offshore
wind farms can be modelled in Systecon’s simulation tool, SIMLOX.
The interim objective is to understand how maintenance of offshore
wind farms is carried out and how this is related to costs and
revenues.
Theory Theory mainly covers the areas of O&M, offshore wind power, life
cycle profit and maintenance strategies. Theory also presents existing
simulation tools for O&M of offshore wind farms.
Conclusions The authors stated that accessibility is the most significant feature for
O&M of offshore wind farms. In brief, wind speed has impact on
wind turbine reliability, choice of transportation mode and wind
farm accessibility. Decreased reliability, vessels restricted from
performing O&M tasks and low accessibility are factors that drive
O&M costs. Furthermore wind enables energy production and thus
wind is a value driver too. Embracing a life cycle profit approach
enhances the support organisation to support business and focus on
revenue. Energy yield increases if O&M tasks are performed at low
wind speed; hence it’s a maintenance performance indicator that
captures the embracement of a life cycle profit approach. The authors
summarized what operators demand from a simulation tool. The
summary was presented in the apple framework that consists of key
functionalities and key outputs. Above all the investigation of key
functionalities and key outputs showed that SIMLOX has the
capability to model wind as both a cost and value driver. This
relationship is important to regard since it’s characteristic for O&M
of offshore wind farms. Further, this is something that hasn´t been
ceased in any of the competitors’ simulation tools that have been
investigated in this report. The investigated simulation tools merely
capture wind speed in a restrictive manner. (Less)
Please use this url to cite or link to this publication:
author
Hersenius, Catarina and Möller, Ulrika
supervisor
organization
course
MIO920
year
type
M1 - University Diploma
subject
keywords
O&M, maintenance strategies, life cycle profit, offshore wind farms, simulation tools, weather conditions, and energy yield.
other publication id
11/5405
language
English
id
2371584
date added to LUP
2016-09-23 09:56:20
date last changed
2016-09-23 09:56:20
@misc{2371584,
  abstract     = {Objective The main objective is to investigate in what way O&M of offshore
wind farms can be modelled in Systecon’s simulation tool, SIMLOX.
The interim objective is to understand how maintenance of offshore
wind farms is carried out and how this is related to costs and
revenues.
Theory Theory mainly covers the areas of O&M, offshore wind power, life
cycle profit and maintenance strategies. Theory also presents existing
simulation tools for O&M of offshore wind farms.
Conclusions The authors stated that accessibility is the most significant feature for
O&M of offshore wind farms. In brief, wind speed has impact on
wind turbine reliability, choice of transportation mode and wind
farm accessibility. Decreased reliability, vessels restricted from
performing O&M tasks and low accessibility are factors that drive
O&M costs. Furthermore wind enables energy production and thus
wind is a value driver too. Embracing a life cycle profit approach
enhances the support organisation to support business and focus on
revenue. Energy yield increases if O&M tasks are performed at low
wind speed; hence it’s a maintenance performance indicator that
captures the embracement of a life cycle profit approach. The authors
summarized what operators demand from a simulation tool. The
summary was presented in the apple framework that consists of key
functionalities and key outputs. Above all the investigation of key
functionalities and key outputs showed that SIMLOX has the
capability to model wind as both a cost and value driver. This
relationship is important to regard since it’s characteristic for O&M
of offshore wind farms. Further, this is something that hasn´t been
ceased in any of the competitors’ simulation tools that have been
investigated in this report. The investigated simulation tools merely
capture wind speed in a restrictive manner.},
  author       = {Hersenius, Catarina and Möller, Ulrika},
  keyword      = {O&M,maintenance strategies,life cycle profit,offshore wind farms,simulation tools,weather conditions,and energy yield.},
  language     = {eng},
  note         = {Student Paper},
  title        = {Operation and Maintenance of offshore wind farms},
  year         = {2011},
}