A system dynamics model of offshore wind farm degradation: enabling operation and maintenance planning under foreseen asset management impacts

Nima Golestani; Ehsan  Arzaghi; Rouzbeh Abbassi; Vikram  Garaniya; Huixing Meng

doi:10.1016/j.apor.2023.103685

A system dynamics model of offshore wind farm degradation: enabling operation and maintenance planning under foreseen asset management impacts

Nima Golestani, Ehsan Arzaghi, Rouzbeh Abbassi, Vikram Garaniya, Huixing Meng

School of Engineering

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

8 Citations (Scopus)

183 Downloads (Pure)

Abstract

This paper presents a system dynamics model to for the degradation of offshore wind farms (OWFs) optimise O&M planning and asset management, taking into account the effects of weather-related delays. The model predicts the future states of wind turbines, repairs, downtime expenses, failures, and production losses. Simulation results show the optimal scenario for effective intervention and the adaptability of the proposed model in controlling wind farm assets. By considering various maintenance planning approaches, the model identifies the factors affecting maintenance and minimises the impact of human response on O&M activities in OWFs.

Original language	English
Article number	103685
Pages (from-to)	1-13
Number of pages	13
Journal	Applied Ocean Research
Volume	138
DOIs	https://doi.org/10.1016/j.apor.2023.103685
Publication status	Published - Sept 2023

Bibliographical note

Copyright the Author(s) 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

Offshore wind farm
System degradation
Operation and maintenance
System dynamics
Weather-related delays
Organisational-risk perception

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10.1016/j.apor.2023.103685Licence: CC BY

Publisher version (open access)Final published version, 5.94 MBLicence: CC BY

Cite this

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abstract = "This paper presents a system dynamics model to for the degradation of offshore wind farms (OWFs) optimise O&M planning and asset management, taking into account the effects of weather-related delays. The model predicts the future states of wind turbines, repairs, downtime expenses, failures, and production losses. Simulation results show the optimal scenario for effective intervention and the adaptability of the proposed model in controlling wind farm assets. By considering various maintenance planning approaches, the model identifies the factors affecting maintenance and minimises the impact of human response on O&M activities in OWFs.",

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author = "Nima Golestani and Ehsan Arzaghi and Rouzbeh Abbassi and Vikram Garaniya and Huixing Meng",

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AU - Golestani, Nima

AU - Arzaghi, Ehsan

AU - Abbassi, Rouzbeh

AU - Garaniya, Vikram

AU - Meng, Huixing

N1 - Copyright the Author(s) 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

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AB - This paper presents a system dynamics model to for the degradation of offshore wind farms (OWFs) optimise O&M planning and asset management, taking into account the effects of weather-related delays. The model predicts the future states of wind turbines, repairs, downtime expenses, failures, and production losses. Simulation results show the optimal scenario for effective intervention and the adaptability of the proposed model in controlling wind farm assets. By considering various maintenance planning approaches, the model identifies the factors affecting maintenance and minimises the impact of human response on O&M activities in OWFs.

KW - Offshore wind farm

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JO - Applied Ocean Research

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A system dynamics model of offshore wind farm degradation: enabling operation and maintenance planning under foreseen asset management impacts

Abstract

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Keywords

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