文章基本信息

标题：Research on offshore wind power system based on Internet of Things technolog
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作者：Fen Zhou ; Xuping Tu ; Qingdong Wa 等
期刊名称：Intl Jnl of Low-Carbon Technologies
印刷版ISSN：1748-1317
电子版ISSN：1748-1325
出版年度：2022
卷号：17
页码：645-650
DOI：10.1093/ijlct/ctac049/6571047
语种：English
出版社：Oxford University Press
摘要：Wind power generation is considered as one of the very promising new energy power generation methods. Offshore wind farms are usually located in open spaces far from the coast, where the wind is strong enough to generate electricity efficiently and reliably. The operation and maintenance of offshore wind power generation is more important; it will greatly affect the life cycle cost, although it is more difficult. Different from the methods used in other papers, this paper uses the Internet of Things (IOT) technology to collect and analyze wind power generation data to accurately and efficiently realize the operation and maintenance of offshore wind power generation. This paper also establishes an economic model for further analysis. Estimated electricity production under real weather is integrated into the model. According to the estimated model, with IOT technology can reduce maintenance costs by ~75% compared to without IOT technology, and according to our operation and maintenance data, we found that the downtime caused by blades, gearboxes and generators accounted for more than 87% of the total unplanned downtime, and maintenance costs accounted for more than three-fourths of the total maintenance costs. These data have reference significance for the operation and maintenance of offshore wind power generation.