Optimal joint maintenance and orienteering strategy for complex mission-oriented systems: A case study in offshore wind energy

O'Neil, Ryan; Khatab, Abdelhakim; Diallo, Claver; Venkatadri, Uday

doi:10.1016/j.cor.2022.106020

Cited by 16 publications

(3 citation statements)

References 55 publications

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“…Ade Irawan et al [14] used service operation vessels and safe transfer boats to make maintenance routing in offshore wind farms. O'Neil et al [15] studied the joint maintenance and orienteering strategy for complex wind turbines. The required reliability threshold is met during the next run task until the next maintenance rotation.…”

Section: Literature Reviewmentioning

confidence: 99%

Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost

Dui

Zhang

2023

Mathematics

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Wind farms have gained wide attention due to unlimited resources and clean energy. Considering that wind turbine systems are always in harsh conditions, subsystem failures could reduce the reliability of wind turbine systems. At present, the maintenance behaviors for wind turbine systems are various (e.g., corrective maintenance, preventive maintenance) when reliability is reduced below the threshold. Considering the maintenance cost and downtime, it is impossible to repair each component in a timely manner. One of the key problems is dividing components into maintenance groups to improve maintenance efficiency. In this paper, a grouping maintenance policy considering the variable cost (GMP-VC) is proposed to improve direct-drive permanent magnet (DPM) turbine systems. Grouping modes are proposed to fully consider the stated transition probability of turbine components and the variable cost of turbine systems. A maintenance model is formulated to select components as members of the group based on a RIM-VC index. An instance is given to verify the proposed GMP-VC method. The result indicates that the proposed maintenance policy may save maintenance costs over baseline plans.

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Section: Literature Reviewmentioning

confidence: 99%

Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost

Dui

Zhang

2023

Mathematics

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“…Allal et al [ 17 ] optimized maintenance routes and scheduling for offshore wind farms using an ant colony system algorithm. O’Neil et al [ 18 ] jointly optimized maintenance and orientation problems using a mixed-integer linear programming model and column generation method. Silva et al [ 19 ] minimized the total route cost for maintenance service vessels servicing floating offshore wind farms through a mixed-integer linear programming approach.…”

Section: Introductionmentioning

confidence: 99%

Optimization of offshore wind farm inspection paths based on K-means-GA

Peng,

Sun,

Tong

et al. 2024

PLoS ONE

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As global demand for offshore wind energy continues to rise, the imperative to enhance the profitability of wind power projects and reduce their operational costs becomes increasingly urgent. This study proposes an innovative approach to optimize the inspection routes of offshore wind farms, which integrates the K-means clustering algorithm and genetic algorithm (GA). In this paper, the inspection route planning problem is formulated as a multiple traveling salesman problem (mTSP), and the advantages of the K-means clustering algorithm in distance similarity are utilized to effectively group the positions of wind turbines, thereby optimizing the inspection schedule for vessels. Subsequently, by harnessing the powerful optimization capability and robustness of genetic algorithms, further refinement is conducted to search for the optimal inspection routes, aiming to achieve cost reduction objectives. The results of simulation experiments demonstrate the effectiveness of this integrated approach. Compared to traditional genetic algorithms, the inspection route length has been significantly reduced, from 93 kilometers to 79.36 kilometers. Simultaneously, operational costs have also experienced a notable decrease, dropping from 141,500 Chinese Yuan to 125,600 Chinese Yuan.

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“…Great attention to science of maintenance is necessary to respond to the expectations of industries, which is due to the limited resources such as energy, manpower, and capital, with suitable planning and its principled implementation, can lead to an increase in productivity, efficiency. Finally, the goals will be achieved (3).…”

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confidence: 99%

Functional Model of Integrated Maintenance in Petrochemical Industries

Seyed Hosseini,

Shahanaghi,

Shasfand

2024

IJE

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The purpose of this research is to provide an integrated maintenance model in the petrochemical industry. The current research is applied in terms of purpose and descriptive survey in terms of data collection method. A mixed method (qualitative and quantitative) has been used to conduct the research. The tools used in this research are researcher-made questionnaires (36 Questions), dialog with domestic and foreign professors in the field of maintenance and production, the Delphi technique (41 Maintenance managers), Field investigations (20 internal and 7 overseas petrochemical companies), and experiences and evidence obtained from 12 overhauls during 30 years. The validity was determined through experts' opinions and reliability through Cronbach's alpha evaluation. The results showed that the questionnaire has high validity and reliability. The statistical population includes experts in the field of Maintenance in industry and university, among whom 110 people were selected by targeted sampling. To conduct the research in the first stage, first by using the documentary method and content analysis and interviews with experts, the indicators and dimensions of the strong integrated maintenance and repair model were extracted and given to the experts in the form of a Likert scale for scoring; After conducting the survey, 36 components were selected, and each component of management, manpower, equipment, and knowledge had 9 sub-components. In the next step, the components and sub-components were scored and ranked using the questionnaire and the Analytical hierarchy process method. In this research, the following three results have been obtained: 1. Four main roots (Human, Management, Knowledge, and Equipment) and thirty-six sub-roots of effective maintenance. 2. The essential elements of the formula for measuring the criticality index of equipment. 3. Five indicators for measuring integrated maintenance performance. According to the calculations, the inconsistency between the vectors of each matrix is less than 0.10. Therefore, the constituent vectors of each of the formed matrices are consistent with the three results of the research and the stability of the respective comparisons is acceptable.

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Optimal joint maintenance and orienteering strategy for complex mission-oriented systems: A case study in offshore wind energy

Cited by 16 publications

References 55 publications

Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost

Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost

Optimization of offshore wind farm inspection paths based on K-means-GA

Functional Model of Integrated Maintenance in Petrochemical Industries

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