A framework for data integration of offshore wind farms |
| |
Affiliation: | 1. Sibley School of Mechanical and Aerospace Engineering, Cornell University, Upson Hall, Ithaca, NY 14850, United States;2. Department of Earth and Atmospheric Sciences, Cornell University, Bradfield Hall, Ithaca, NY 14850, United States;3. DTU Wind Energy, Risø Campus, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark |
| |
Abstract: | Operation and maintenance play an important role in maximizing the yield and minimizing the downtime of wind turbines, especially offshore wind farms where access can be difficult due to harsh weather conditions for long periods. It contributes up to 25–30% to the cost of energy generation. Improved operation and maintenance (O&M) practices are likely to reduce the cost of wind energy and increase safety. In order to optimize the O&M, the importance of data exchange and knowledge sharing within the offshore wind industry must be realized. With more data available, it is possible to make better decisions, and thereby improve the recovery rates and reduce the operational costs. This article describes the development of a framework for data integration to optimize the remote operations of offshore wind farms. |
| |
Keywords: | Offshore wind farms Data integration Remote operations Operation and maintenance Wind energy |
本文献已被 ScienceDirect 等数据库收录! |
|