A System-Level Reliability Growth Model for Efficient Inspection Planning of Offshore Wind Farms

被引：0

作者：

Li, Linsheng ^{[1
]}

Zou, Guang ^{[1
]}

机构：

[1] Southern Univ Sci & Technol, Dept Ocean Sci & Engn, Shenzhen 518055, Peoples R China

来源：

JOURNAL OF MARINE SCIENCE AND ENGINEERING | 2024年 / 12卷 / 07期

关键词：

system reliability; reliability growth; inspection; offshore wind farms; fatigue; MARKOV DECISION-PROCESSES; DETERIORATING SYSTEMS; OPTIMUM INSPECTION; MAINTENANCE; STRATEGIES; MANAGEMENT; COST;

D O I：

10.3390/jmse12071140

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

Fatigue damage can lead to failures of structural systems. To reduce the failure risk and enhance the reliability of structural systems, inspection and maintenance interventions are required, and it is important to develop an efficient inspection strategy. This study, for the first time, develops a system-level reliability growth model to establish efficient inspection planning. System-level reliability growth is defined as an increase in the percentage of the system reliability index with and without inspection. The probabilistic S-N approach is used to obtain the reliability index without inspection. Moreover, advanced risk analysis and Bayesian inference techniques are used to obtain the reliability index with inspection. The optimal inspection planning is obtained by maximizing system-level reliability growth. This model is applied to an offshore wind farm. The results show that inspection efficiency can be improved by increasing the number of repair objects in response to a 'detection' inspection outcome, changing the inspection object for each inspection, and increasing the inspection quality. The maximum system-level reliability growth gained from one additional inspection decreases as the number of inspections increases. This study quantifies the inspection efficiency of offshore wind farms by explicit system-level reliability growth computation, offering valuable insights for promoting sustainable energy solutions.

引用

页数：20

共 50 条

[21] Using structural reliability analysis in inspection planning of offshore structures [J].

Sagrilo, LVS ;

deLima, ECP ;

Henriques, CCD ;

Rodriguez, SGH .

PROCEEDINGS OF THE SEVENTH (1997) INTERNATIONAL OFFSHORE AND POLAR ENGINEERING CONFERENCE, VOL IV, 1997, 1997, :174-178

[22] Mixed Integer Programming models for planning maintenance at offshore wind farms under uncertainty [J].

Schrotenboer, Albert H. ;

Ursavas, Evrim ;

Vis, Iris F. A. .

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2020, 112 :180-202

[23] Availability assessment of an offshore PEM seawater electrolysis: A system-level approach [J].

Kumar, Sumit ;

Arzaghi, Ehsan ;

Baalisampang, Til ;

Garaniya, Vikram ;

Abbassi, Rouzbeh .

RENEWABLE ENERGY, 2025, 253

[24] Data-Informed Lifetime Reliability Prediction for Offshore Wind Farms [J].

Papatzimos, Alexios Koltsidopoulos ;

Thies, Philipp R. ;

Lonchampt, Jerome ;

Joly, Antoine ;

Dawood, Tariq .

2019 IEEE INTERNATIONAL CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT (ICPHM), 2019,

[25] Wind model for low frequency power fluctuations in offshore wind farms [J].

Vigueras-Rodriguez, A. ;

Sorensen, P. ;

Cutululis, N. A. ;

Viedma, A. ;

Donovan, M. H. .

WIND ENERGY, 2010, 13 (05) :471-482

[26] Risk-based planning of operation and maintenance for offshore wind farms [J].

Florian, Mihai ;

Sorensen, John Dalsgaard .

14TH DEEP SEA OFFSHORE WIND R&D CONFERENCE, EERA DEEPWIND'2017, 2017, 137 :261-272

[27] Design optimization with system-level reliability constraints [J].

McDonald, M. ;

Mahadevan, S. .

JOURNAL OF MECHANICAL DESIGN, 2008, 130 (02)

[28] Potential climatic impacts and reliability of large-scale offshore wind farms [J].

Wang, Chien ;

Prinn, Ronald G. .

ENVIRONMENTAL RESEARCH LETTERS, 2011, 6 (02)

[29] A Model for the Optimization of the Maintenance Support Organization for Offshore Wind Farms [J].

Besnard, Francois ;

Fischer, Katharina ;

Tjernberg, Lina Bertling .

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2013, 4 (02) :443-450

[30] A life cycle cost model for floating offshore wind farms [J].

Maienza, C. ;

Avossa, A. M. ;

Ricciardelli, F. ;

Coiro, D. ;

Troise, G. ;

Georgakis, C. T. .

APPLIED ENERGY, 2020, 266

← 1 2 3 4 5 →