Economic evaluation of offshore wind farm operation and maintenance considering opportunity maintenance

Zhi Li; Lu Zhou; Chuanbao Jia; Shu Chen

doi:10.1117/12.2635306

25 April 2022 Economic evaluation of offshore wind farm operation and maintenance considering opportunity maintenance

Zhi Li, Lu Zhou, Chuanbao Jia, Shu Chen

Proceedings Volume 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022); 122444S (2022) https://doi.org/10.1117/12.2635306
Event: 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 2022, Guilin, China

Abstract

In this paper, we present a simulation method approach to the economic benefits of offshore wind farm operation and maintenance. The method takes into account the meteorological accessibility. The emphasis of this study lies in reducing operation and maintenance costs and improving the economic benefits of wind farms. We propose the method of calculating economic evaluation indexes including downtime, power loss, wind farms availability, and operation and maintenance cost. The benefit simulation model of offshore wind power operation and maintenance is established based on Anylogic platform. The real-time status of wind turbines, ships and personnel and the statistics of various economic evaluation indexes are simulated to evaluate the economic benefits of operation and maintenance of offshore wind power farms. Finally, the case results show that the proposed simulation method can describe the real-time status of wind turbines and operation and maintenance resources, and calculate economic evaluation indicators. The impact of offshore meteorological conditions on the economic effect is truthfully reflected, which provides technical reference for the operation and maintenance of offshore wind power farms.

Citation Download Citation

Zhi Li, Lu Zhou, Chuanbao Jia, and Shu Chen "Economic evaluation of offshore wind farm operation and maintenance considering opportunity maintenance", Proc. SPIE 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 122444S (25 April 2022); https://doi.org/10.1117/12.2635306

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KEYWORDS

Wind turbine technology

Wind energy

Reliability

Computer simulations

Meteorology

Monte Carlo methods

Optimization (mathematics)

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