LCOE Optimization based on Reliability and corrective Maintenance for Wind Energy Systems

Authors

  • Bouadi Mohamed
  • Rachid Meziane

DOI:

https://doi.org/10.22399/ijcesen.4165

Keywords:

LCOE, Corrective Maintenance, Reliability, Optimization, Availability, LCA

Abstract

This work presents an approach to minimizing the Levelized Cost of Energy (LCOE) for wind power systems integrated  reliability and a corrective  maintenance. League Championship Algorithm (LCA) is a metaheuristic Used for optimization. It considers decision variables such as capacity factor (FC),system availability (A), corrective  maintenance (Ccm). Based on the results obtained; assist operation and maintenance managers know the types of maintenance contracts in order to avoid wasting money the optimal availability obtained from the LCOE model. This study is the subject of a real case, which is the Kabertanne wind farm, located in the W. Adrar who counts 12 wind power turbines, type G.52- 850 kW. The results obtained show a final optimized LCOE of 0.02324 $/kWh, with a corrective maintenance cost of $64645 per year and an availability of 0.87.

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Published

2025-10-22

How to Cite

Bouadi Mohamed, & Rachid Meziane. (2025). LCOE Optimization based on Reliability and corrective Maintenance for Wind Energy Systems. International Journal of Computational and Experimental Science and Engineering, 11(4). https://doi.org/10.22399/ijcesen.4165

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Section

Research Article