Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
Journal topic

Journal metrics

CiteScore value: 0.6
CiteScore
0.6
h5-index value: 13
h5-index13
Download
Short summary
There are two ways to perform maintenance of a multicomponent system: a corrective maintenance, replace a broken component by a new one, and a preventive maintenance (PM), when some components are replaced in a planned manner before they break down. This article proposes a mathematical model for finding an optimal time to perform the next PM activity and selecting the components which should be replaced. The model is fast to solve, it can be used as a key module in a maintenance scheduling app.
Preprints
https://doi.org/10.5194/wes-2020-129
https://doi.org/10.5194/wes-2020-129

  09 Dec 2020

09 Dec 2020

Review status: this preprint is currently under review for the journal WES.

Optimal scheduling of the next preventive maintenance activity for a wind farm

Quanjiang Yu, Michael Patriksson, and Serik Sagitov Quanjiang Yu et al.
  • Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, SE-42 196 Gothenburg, Sweden

Abstract. Global warming has been attributed to increased greenhouse gas emission concentrations in the atmosphere through the burning of fossil fuels. Renewable energy, as an alternative, is capable of displacing energy from fossil fuels. Wind power is abundant, renewable, and produces almost no greenhouse gas during operation. A large part of the cost of operations is due to the cost of maintaining the wind power equipment, especially for offshore wind farms. How to reduce the maintenance cost is what this article focus on.

This article presents a binary linear optimisation model whose solution may suggest wind turbine owners which components, and when, should undergo the next preventive maintenance (PM). The scheduling strategy takes into account eventual failure events of the multi-component system, in that after the failed system is repaired, the previously scheduled PM plan should be updated treating the restored components to be as good as new.

The optimisation model NextPM is tested through three numerical case studies. The first study addresses the illuminating case of a single component system. The second study analyses the case of seasonal variations of set-up costs, as compared to the constant set-up cost setting. Among other things, this analysis reveals a dramatic cost reduction achieved by the NextPM model as compared to the the pure CM strategy. In these two case studies, the cost are reduced by around 35 %. The third case study compares the NextPM model with another optimisation model preventive maintenance scheduling problem with interval costs(PMSPIC) which was the major source of inspiration for this article. This comparison demonstrates that the NextPM model is accurate and much more effective.

In conclusion, the NextPM model is both accurate and fast to solve. The algorithm stemming from the proposed model can be used as a key module in a maintenance scheduling app.

Quanjiang Yu et al.

 
Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

Quanjiang Yu et al.

Quanjiang Yu et al.

Viewed

Total article views: 302 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
235 62 5 302 11 10
  • HTML: 235
  • PDF: 62
  • XML: 5
  • Total: 302
  • BibTeX: 11
  • EndNote: 10
Views and downloads (calculated since 09 Dec 2020)
Cumulative views and downloads (calculated since 09 Dec 2020)

Viewed (geographical distribution)

Total article views: 297 (including HTML, PDF, and XML) Thereof 294 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 11 Apr 2021
Publications Copernicus
Download
Short summary
There are two ways to perform maintenance of a multicomponent system: a corrective maintenance, replace a broken component by a new one, and a preventive maintenance (PM), when some components are replaced in a planned manner before they break down. This article proposes a mathematical model for finding an optimal time to perform the next PM activity and selecting the components which should be replaced. The model is fast to solve, it can be used as a key module in a maintenance scheduling app.
Citation