An opportunistic condition-based maintenance strategy for offshore wind farm based on predictive analytics

Peng Zhou and P.T. Yin

Renewable and Sustainable Energy Reviews, 2019, vol. 109, issue C, 1-9

Abstract: The reduction of operation and maintenance cost plays a significant role in decreasing the cost of energy generated by offshore wind farm, which can be realized through better design of maintenance strategy. This paper proposes a dynamic opportunistic condition-based maintenance strategy for offshore wind farm by using predictive analytics. In the strategy, a new maintenance basis is developed by considering the varying maintenance lead time to make maintenance decisions for different wind turbine components. Meanwhile, the strategy also considers the economic dependence between the wind turbines and the components. We then present a maintenance model to derive the optimal maintenance plans for various turbine components under different weather and operation load conditions. A numerical example is used to illustrate the effectiveness of the maintenance model. It is found that the varying maintenance lead time has a significant effect on the annual maintenance cost which demonstrates the reasonableness of our proposed maintenance basis. Compared to the widely employed and the simple maintenance strategies, the proposed strategy can help reduce the annual maintenance cost by 39.24% and 32.46% respectively.

Keywords: Condition monitoring data; Remaining useful life prediction; Average effective maintenance cost function; Opportunistic maintenance; Offshore wind farm (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1364032119301893
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:109:y:2019:i:c:p:1-9

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic

DOI: 10.1016/j.rser.2019.03.049

Access Statistics for this article

Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski

More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().