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智能海上风电场的监测、运行和维护综述。

Review on Monitoring, Operation and Maintenance of Smart Offshore Wind Farms.

机构信息

Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao 266075, China.

School of Electrical Engineering, Northeast Electric Power University, Jilin City 132012, China.

出版信息

Sensors (Basel). 2022 Apr 7;22(8):2822. doi: 10.3390/s22082822.

DOI:10.3390/s22082822
PMID:35458807
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9028522/
Abstract

In recent years, with the development of wind energy, the number and scale of wind farms have been developing rapidly. Since offshore wind farms have the advantages of stable wind speed, being clean, renewable, non-polluting, and the non-occupation of cultivated land, they have gradually become a new trend in the wind power industry all over the world. The operation and maintenance of offshore wind power has been developing in the direction of digitization and intelligence. It is of great significance to carry out research on the monitoring, operation, and maintenance of offshore wind farms, which will be of benefit for the reduction of the operation and maintenance costs, the improvement of the power generation efficiency, improvement of the stability of offshore wind farm systems, and the building of smart offshore wind farms. This paper will mainly summarize the monitoring, operation, and maintenance of offshore wind farms, with particular focus on the following points: monitoring of "offshore wind power engineering and biological and environment", the monitoring of power equipment, and the operation and maintenance of smart offshore wind farms. Finally, the future research challenges in relation to the monitoring, operation, and maintenance of smart offshore wind farms are proposed, and the future research directions in this field are explored, especially in marine environment monitoring, weather and climate prediction, intelligent monitoring of power equipment, and digital platforms.

摘要

近年来，随着风能的发展，风力发电场的数量和规模迅速发展。由于海上风电场具有风速稳定、清洁、可再生、无污染和不占用耕地等优点，因此逐渐成为世界各国风力发电行业的新趋势。海上风力发电的运行和维护正在朝着数字化和智能化的方向发展。开展海上风电场的监测、运行和维护研究具有重要意义，这将有助于降低运行和维护成本、提高发电效率、提高海上风电场系统的稳定性，并建设智能海上风电场。本文将主要总结海上风电场的监测、运行和维护，重点关注以下几个方面：“海上风力发电工程与生物及环境”监测、电力设备监测和智能海上风电场的运行和维护。最后，提出了智能海上风电场监测、运行和维护的未来研究挑战，并探讨了该领域的未来研究方向，特别是在海洋环境监测、天气和气候预测、电力设备智能监测以及数字平台方面。

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2
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Bioresour Technol. 2021 Apr;325:124602. doi: 10.1016/j.biortech.2020.124602. Epub 2020 Dec 23.
3
Automatic detection of seafloor marine litter using towed camera images and deep learning.
Sensors (Basel). 2023 May 19;23(10):4905. doi: 10.3390/s23104905.
4
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Sensors (Basel). 2023 Feb 21;23(5):2402. doi: 10.3390/s23052402.
5
Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review.工业 4.0 时代的维护绩效：文献计量绩效分析与系统文献综述。
Sensors (Basel). 2023 Jan 27;23(3):1409. doi: 10.3390/s23031409.
利用拖曳式相机图像和深度学习自动检测海底海洋垃圾
Mar Pollut Bull. 2021 Mar;164:111974. doi: 10.1016/j.marpolbul.2021.111974. Epub 2021 Jan 20.
4
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IEEE Trans Cybern. 2021 Mar;51(3):1121-1133. doi: 10.1109/TCYB.2020.2987811. Epub 2021 Feb 17.
5
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ISA Trans. 2020 Jun;101:399-407. doi: 10.1016/j.isatra.2020.01.023. Epub 2020 Jan 23.
6
Molecular method for rapid detection of the red tide dinoflagellate Karenia mikimotoi in the coastal region of Xiangshan Bay, China.中国象山湾沿海地区赤潮甲藻米氏凯伦藻的快速检测分子方法。
J Microbiol Methods. 2020 Jan;168:105801. doi: 10.1016/j.mimet.2019.105801. Epub 2019 Dec 4.
7
Soundscape of an Indo-Pacific humpback dolphin (Sousa chinensis) hotspot before windfarm construction in the Pearl River Estuary, China: Do dolphin engage in noise avoidance and passive eavesdropping behavior?中国珠江口在建风电场前印太驼背豚（ Sousa chinensis ）热点地区的声音景观：海豚是否采取回避和被动偷听行为？
Mar Pollut Bull. 2019 Mar;140:509-522. doi: 10.1016/j.marpolbul.2019.02.013. Epub 2019 Feb 11.
8
Assessing vulnerability of marine bird populations to offshore wind farms.评估海洋鸟类种群对海上风电场的脆弱性。
J Environ Manage. 2013 Apr 15;119:56-66. doi: 10.1016/j.jenvman.2013.01.025. Epub 2013 Feb 27.
9
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Mar Pollut Bull. 2012 Apr;64(4):872-81. doi: 10.1016/j.marpolbul.2012.01.029. Epub 2012 Feb 13.