A model for optimal fleet composition of vessels for offshore wind farm maintenance

A.G. Alcoba; G. Ortega; E.M.T. Hendrix; E.E. Halvorsen-Waere; Dag Haugland

doi:10.1016/j.procs.2017.05.230

A model for optimal fleet composition of vessels for offshore wind farm maintenance

A.G. Alcoba
, G. Ortega
, E.M.T. Hendrix
, E.E. Halvorsen-Waere
, Dag Haugland

Research output: Contribution to journal › Article › Academic › peer-review

17 Citations (Scopus)

Abstract

We present a discrete optimisation model that chooses an optimal fleet of vessels to support maintenance operations at Offshore Wind Farms (OFWs). The model is presented as a bi-level problem. On the first (tactical) level, decisions are made on the fleet composition for a certain time horizon. On the second (operational) level, the fleet is used to optimise the schedule of operations needed at the OWF, given events of failures and weather conditions.

Original language	English
Pages (from-to)	1512-1521
Journal	Procedia Computer Science
Volume	108
DOIs	https://doi.org/10.1016/j.procs.2017.05.230
Publication status	Published - 2017

Keywords

Decision Support System
Fleet composition
Maintenance planning
Offshore Wind Farms

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10.1016/j.procs.2017.05.230Licence: CC BY-NC-ND

Cite this

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title = "A model for optimal fleet composition of vessels for offshore wind farm maintenance",

abstract = "We present a discrete optimisation model that chooses an optimal fleet of vessels to support maintenance operations at Offshore Wind Farms (OFWs). The model is presented as a bi-level problem. On the first (tactical) level, decisions are made on the fleet composition for a certain time horizon. On the second (operational) level, the fleet is used to optimise the schedule of operations needed at the OWF, given events of failures and weather conditions.",

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AU - Ortega, G.

AU - Hendrix, E.M.T.

AU - Halvorsen-Waere, E.E.

AU - Haugland, Dag

PY - 2017

Y1 - 2017

N2 - We present a discrete optimisation model that chooses an optimal fleet of vessels to support maintenance operations at Offshore Wind Farms (OFWs). The model is presented as a bi-level problem. On the first (tactical) level, decisions are made on the fleet composition for a certain time horizon. On the second (operational) level, the fleet is used to optimise the schedule of operations needed at the OWF, given events of failures and weather conditions.

AB - We present a discrete optimisation model that chooses an optimal fleet of vessels to support maintenance operations at Offshore Wind Farms (OFWs). The model is presented as a bi-level problem. On the first (tactical) level, decisions are made on the fleet composition for a certain time horizon. On the second (operational) level, the fleet is used to optimise the schedule of operations needed at the OWF, given events of failures and weather conditions.

KW - Decision Support System

KW - Fleet composition

KW - Maintenance planning

KW - Offshore Wind Farms

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DO - 10.1016/j.procs.2017.05.230

M3 - Article

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VL - 108

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JO - Procedia Computer Science

JF - Procedia Computer Science

ER -

A model for optimal fleet composition of vessels for offshore wind farm maintenance

Abstract

Keywords

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