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

^*Corresponding author for this work

School of Mechatronical Engineering

University of Tasmania
Macquarie University

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

14 Citations (Scopus)

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
Journal	Applied Ocean Research
Volume	138
DOIs	https://doi.org/10.1016/j.apor.2023.103685
Publication status	Published - Sept 2023

Keywords

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

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10.1016/j.apor.2023.103685

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title = "A system dynamics model of offshore wind farm degradation: Enabling operation and maintenance planning under foreseen asset management impacts",

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.",

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

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

note = "Publisher Copyright: {\textcopyright} 2023 The Authors",

year = "2023",

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doi = "10.1016/j.apor.2023.103685",

language = "English",

volume = "138",

journal = "Applied Ocean Research",

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T1 - A system dynamics model of offshore wind farm degradation

T2 - Enabling operation and maintenance planning under foreseen asset management impacts

AU - Golestani, Nima

AU - Arzaghi, Ehsan

AU - Abbassi, Rouzbeh

AU - Garaniya, Vikram

AU - Meng, Huixing

PY - 2023/9

Y1 - 2023/9

N2 - 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.

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

KW - Operation and maintenance

KW - Organisational-risk perception

KW - System degradation

KW - System dynamics

KW - Weather-related delays

UR - https://www.scopus.com/pages/publications/85166296448

U2 - 10.1016/j.apor.2023.103685

DO - 10.1016/j.apor.2023.103685

M3 - Article

AN - SCOPUS:85166296448

SN - 0141-1187

VL - 138

JO - Applied Ocean Research

JF - Applied Ocean Research

M1 - 103685

ER -

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

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Keywords

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