Name
Abstract | ||
|---|---|---|
Offshore wind turbines are exposed to harsh maritime conditions. This makes the planning of the maintenance processes more challenging and therefore cost-intensive compared to onshore wind turbines. To deal with these challenges, it is important to investigate the impact of different maintenance strategies, e.g. reactive and predictive maintenance on the turbines' performance. In this context, the availability of turbines, the energy production and the overall maintenance costs are considered. This paper addresses the impact of different maintenance strategies by presenting a parametric multi-agent-based discrete-event simulation. Based on this simulation, we study the variation of failure detection on the performance of the turbines. The results of the simulations show that through a better predictability of the maintenance measures, both, the downtime of wind turbines and the failure consequences can be reduced. Saving potentials lie primarily in the reduction of the material costs and lower production losses. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1080/17477778.2019.1675481 | JOURNAL OF SIMULATION |
Keywords | DocType | Volume |
Offshore wind energy,maintenance strategy,predictive maintenance,reactive maintenance,multi-agent system,discrete-event simulation,maintenance costs | Journal | 14.0 |
Issue | ISSN | Citations |
1.0 | 1747-7778 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abderrahim Ait-Alla | 1 | 0 | 0.34 |
| Stephan Oelker | 2 | 0 | 0.34 |
| Marco Lewandowski | 3 | 0 | 0.34 |
| michael freitag | 4 | 11 | 8.33 |