openO&M: Robust O&M open access tool for improving operation and maintenance of offshore wind turbines

Athanasios Kolios; Julia  Walgern; Sofia Koukoura; Ravi Pandit; Juan Chiachio-Ruano

doi:10.3850/978-981-11-2724-3_1134-cd

openO&M: Robust O&M open access tool for improving operation and maintenance of offshore wind turbines

Athanasios Kolios, Julia Walgern, Sofia Koukoura, Ravi Pandit, Juan Chiachio-Ruano

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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Abstract

With O&M costs accounting between 25-30% of life-cycle costs, it becomes pertinent to model related activities analytically, accounting for all downtime-contributing factors and at the same time incorporating in the analysis practicalities of operations. Related analysis should be able to account for the accurate prediction of weather data, classification of maintenance interventions and modelling of failure rates, and finally, apply realistic strategies with respect to planned and unplanned maintenance activities. This paper reports the development of the initial version of an open-access tool, which allows the estimation of availability of a given wind farm with specified characteristics throughout its service life, allowing for the simulation of a number of scenarios related to reliability parameters, vessels specifications and availability, number of technicians etc, towards optimising a wind farm maintenance strategy. Here, we present initial results for a reference case study, showing applicability and responsiveness of the tool and sensitivity analysis of the jack-up vessel mobilisation time as a varying parameter as it was found to have a significant impact in the estimated availability.

Original language	English
Title of host publication	Proceedings of the 29th European Safety and Reliability Conference.
Place of Publication	Singapore
Pages	629-625
Number of pages	7
DOIs	https://doi.org/10.3850/978-981-11-2724-3_1134-cd
Publication status	Published - 22 Sept 2019
Event	European Safety and Reliability Conference - Hannover, Hannover, Germany Duration: 22 Sept 2019 → 26 Sept 2019 Conference number: 29th https://esrel2019.org/#/committees https://esrel2019.org/

Conference

Conference	European Safety and Reliability Conference
Abbreviated title	ESREL
Country/Territory	Germany
City	Hannover
Period	22/09/19 → 26/09/19
Internet address	https://esrel2019.org/#/committees https://esrel2019.org/

Keywords

offshore wind energy
O&M
availability
numerical tool
open access
planned maintenance
unplanned maintenance
weather forecasting

Access to Document

10.3850/978-981-11-2724-3_1134-cd

Kolios-etal-ESREL-2019-Robust-O-M-open-access-tool-for-improving-operation-and-maintenance-of-offshore-wind-turbinesAccepted author manuscript, 440 KB

Supergen Wind Hub
Leithead, B. (Principal Investigator), McDonald, A. (Academic), McMillan, D. (Academic), Anaya-Lara, O. (Co-investigator), Brennan, F. (Co-investigator), McGregor, P. (Co-investigator), Attya, A. (Researcher), Campos-Gaona, D. (Researcher), Comerford, D. (Researcher), Hur, S. H. (Researcher), Stock, A. (Researcher) & Yue, H. (Researcher)
EPSRC (Engineering and Physical Sciences Research Council)
19/06/14 → 18/09/19
Project: Research

Cite this

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title = "openO&M: Robust O&M open access tool for improving operation and maintenance of offshore wind turbines",

abstract = "With O&M costs accounting between 25-30% of life-cycle costs, it becomes pertinent to model related activities analytically, accounting for all downtime-contributing factors and at the same time incorporating in the analysis practicalities of operations. Related analysis should be able to account for the accurate prediction of weather data, classification of maintenance interventions and modelling of failure rates, and finally, apply realistic strategies with respect to planned and unplanned maintenance activities. This paper reports the development of the initial version of an open-access tool, which allows the estimation of availability of a given wind farm with specified characteristics throughout its service life, allowing for the simulation of a number of scenarios related to reliability parameters, vessels specifications and availability, number of technicians etc, towards optimising a wind farm maintenance strategy. Here, we present initial results for a reference case study, showing applicability and responsiveness of the tool and sensitivity analysis of the jack-up vessel mobilisation time as a varying parameter as it was found to have a significant impact in the estimated availability.",

keywords = "offshore wind energy, O&M, availability, numerical tool, open access, planned maintenance, unplanned maintenance, weather forecasting",

author = "Athanasios Kolios and Julia Walgern and Sofia Koukoura and Ravi Pandit and Juan Chiachio-Ruano",

year = "2019",

month = sep,

day = "22",

doi = "10.3850/978-981-11-2724-3_1134-cd",

language = "English",

isbn = "978981112723",

pages = "629--625",

booktitle = "Proceedings of the 29th European Safety and Reliability Conference.",

note = "European Safety and Reliability Conference, ESREL ; Conference date: 22-09-2019 Through 26-09-2019",

url = "https://esrel2019.org/#/committees, https://esrel2019.org/",

}

Kolios, A, Walgern, J, Koukoura, S, Pandit, R & Chiachio-Ruano, J 2019, openO&M: Robust O&M open access tool for improving operation and maintenance of offshore wind turbines. in Proceedings of the 29th European Safety and Reliability Conference.. Singapore, pp. 629-625, European Safety and Reliability Conference, Hannover, Germany, 22/09/19. https://doi.org/10.3850/978-981-11-2724-3_1134-cd

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AU - Walgern, Julia

AU - Koukoura, Sofia

AU - Pandit, Ravi

AU - Chiachio-Ruano, Juan

N1 - Conference code: 29th

PY - 2019/9/22

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N2 - With O&M costs accounting between 25-30% of life-cycle costs, it becomes pertinent to model related activities analytically, accounting for all downtime-contributing factors and at the same time incorporating in the analysis practicalities of operations. Related analysis should be able to account for the accurate prediction of weather data, classification of maintenance interventions and modelling of failure rates, and finally, apply realistic strategies with respect to planned and unplanned maintenance activities. This paper reports the development of the initial version of an open-access tool, which allows the estimation of availability of a given wind farm with specified characteristics throughout its service life, allowing for the simulation of a number of scenarios related to reliability parameters, vessels specifications and availability, number of technicians etc, towards optimising a wind farm maintenance strategy. Here, we present initial results for a reference case study, showing applicability and responsiveness of the tool and sensitivity analysis of the jack-up vessel mobilisation time as a varying parameter as it was found to have a significant impact in the estimated availability.

AB - With O&M costs accounting between 25-30% of life-cycle costs, it becomes pertinent to model related activities analytically, accounting for all downtime-contributing factors and at the same time incorporating in the analysis practicalities of operations. Related analysis should be able to account for the accurate prediction of weather data, classification of maintenance interventions and modelling of failure rates, and finally, apply realistic strategies with respect to planned and unplanned maintenance activities. This paper reports the development of the initial version of an open-access tool, which allows the estimation of availability of a given wind farm with specified characteristics throughout its service life, allowing for the simulation of a number of scenarios related to reliability parameters, vessels specifications and availability, number of technicians etc, towards optimising a wind farm maintenance strategy. Here, we present initial results for a reference case study, showing applicability and responsiveness of the tool and sensitivity analysis of the jack-up vessel mobilisation time as a varying parameter as it was found to have a significant impact in the estimated availability.

KW - offshore wind energy

KW - O&M

KW - availability

KW - numerical tool

KW - open access

KW - planned maintenance

KW - unplanned maintenance

KW - weather forecasting

U2 - 10.3850/978-981-11-2724-3_1134-cd

DO - 10.3850/978-981-11-2724-3_1134-cd

M3 - Conference contribution book

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BT - Proceedings of the 29th European Safety and Reliability Conference.

CY - Singapore

Y2 - 22 September 2019 through 26 September 2019

ER -

openO&M: Robust O&M open access tool for improving operation and maintenance of offshore wind turbines

Abstract

Conference

Keywords

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Projects

Supergen Wind Hub

Cite this