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Optimizing wind turbine's maintenance policies under performance-based contract

Author

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  • Wang, Jingjing
  • Zhao, Xian
  • Guo, Xiaoxin

Abstract

A sound maintenance policy of wind turbine occupies an important position in reducing the operations and maintenance (O&M) costs. However, few papers consider system performance, e.g. system availability, reliability, mean time to failure, into the maintenance policy. A novel optimal maintenance policy based on the performance-based contract (PBC) is presented to maximize the profit of suppliers meanwhile improving the system availability. Here, three maintenance actions are adopted: opportunistic maintenance, preventive maintenance and corrective maintenance. In precious researches where the objective was to minimize the O&M costs or maximize the system availability, while in this paper the maximum profit was used. To compare the proposed policy with conventional policies, three criterions are presented: maximum profit, greenhouse gas emissions and system availability. Finally, an illustrative numerical example is provided to demonstrate the applicability and superiority of the proposed model.

Suggested Citation

  • Wang, Jingjing & Zhao, Xian & Guo, Xiaoxin, 2019. "Optimizing wind turbine's maintenance policies under performance-based contract," Renewable Energy, Elsevier, vol. 135(C), pages 626-634.
    • Handle: RePEc:eee:renene:v:135:y:2019:i:c:p:626-634
    DOI: 10.1016/j.renene.2018.12.006
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    3. He, Rui & Tian, Zhigang & Wang, Yifei & Zuo, Mingjian & Guo, Ziwei, 2023. "Condition-based maintenance optimization for multi-component systems considering prognostic information and degraded working efficiency," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    4. Yujie Zhang & Yukun Wang & Xiaopeng Li & Yiliu Liu & Weizheng Gao, 2024. "Condition-based maintenance optimization for deteriorating systems considering performance-based contracting and destructive inspections," Journal of Risk and Reliability, , vol. 238(2), pages 247-259, April.
    5. Qi, Faqun & Huang, Meiqi, 2024. "Joint optimization of maintenance and spares inventory policy for a series-parallel system considering dependent failure processes," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    6. Pliego Marugán, Alberto & García Márquez, Fausto Pedro & Pinar Pérez, Jesús María, 2022. "A techno-economic model for avoiding conflicts of interest between owners of offshore wind farms and maintenance suppliers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    7. Xia, Tangbin & Dong, Yifan & Pan, Ershun & Zheng, Meimei & Wang, Hao & Xi, Lifeng, 2021. "Fleet-level opportunistic maintenance for large-scale wind farms integrating real-time prognostic updating," Renewable Energy, Elsevier, vol. 163(C), pages 1444-1454.
    8. Ágota Bányai, 2021. "Energy Consumption-Based Maintenance Policy Optimization," Energies, MDPI, vol. 14(18), pages 1-33, September.
    9. Zheng, Rui & Zhou, Yifan, 2021. "Comparison of three preventive maintenance warranty policies for products deteriorating with age and a time-varying covariate," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    10. Pradipta Patra & U. Dinesh Kumar, 2024. "Availability contracts under hierarchical maintenance," Annals of Operations Research, Springer, vol. 340(1), pages 389-423, September.
    11. Pinciroli, Luca & Baraldi, Piero & Zio, Enrico, 2023. "Maintenance optimization in industry 4.0," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    12. Alberto Pliego Marug'an & Fausto Pedro Garc'ia M'arquez & Jes'us Mar'ia Pinar P'erez, 2024. "A techno-economic model for avoiding conflicts of interest between owners of offshore wind farms and maintenance suppliers," Papers 2401.08251, arXiv.org.

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