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The Growing Trend and High Maintenance Cost in Wind Energy
In 2016, over 170 countries collectively signed the "Paris Agreement," committing to curb global warming and carbon emissions, aiming to limit the increase in the global average temperature to below 2°C above pre-industrial levels. Currently, more than 90 countries globally have set targets to achieve 50% of total electricity generation from green energy by 2025, with over 50 nations planning to achieve 100% green energy by 2050.
Endowed with abundant wind energy resources, China has a total wind energy resource reserve of approximately 32.26 billion kilowatts. The onshore wind energy reserve available for development and utilization is around 2.53 billion kilowatts, while the offshore wind energy reserve is approximately 7.5 billion kilowatts, totaling about 10 billion kilowatts. From 2016 to 2022, the wind power generation maintenance market in China has shown a year-on-year growth trend. In 2022, the market size reached approx. 35.7 billion RMB. As of the end of June 2023, China's wind power generation capacity is approximately 340 million kilowatts, showing a year-on-year growth of 17.2%. The average utilization of wind power generation equipment has accumulated to 1154 hours, a decrease of 58 hours compared to the same period last year.
During the development of wind power projects, the ability of a wind turbine to achieve optimal performance during its rated operation period is a crucial factor in assessing the success or failure of the wind farm investment. The wind power generation maintenance market spans the entire lifecycle of wind power equipment; from manufacturing, installation to eventual decommissioning, lasting 20-25 years. Quality wind turbines aside, life-long operational maintenance is critical. Large outdoor wind turbine blades face the following challenges in terms maintenance:
AI Vision Inspection for Prompt Maintenance and Reduce Cost
To address the aforementioned maintenance challenges and reduce customer operational costs, Chinese wind turbine equipment and solution providers propose integrating an AI visual inspection system into a comprehensive smart wind farm operations and maintenance. AI image monitoring solutions offer advantages such as low overall investment costs, the ability to perform real-time monitoring without downtime, large detection coverage, and high accuracy. This approach is most effective in proactively preventing wind turbine damage and maximizing power generation by monitoring turbine status in real-time.
Leveraging extensive real-case data, Chinese wind turbine equipment manufacturers have developed highly accurate AI models. The precision of ice accretion detection is over 95%, crack detection accuracy exceeds 95%, and lightning strike recognition accuracy surpasses 80%. Once an issue is detected, the system immediately issues a warning for prompt maintenance.
The AI visual inspection system is compact, allowing customers to directly install it in existing wind power equipment to optimize wind turbine efficiency without the substantial costs deriving from purchase of new large-scale equipment. No downtime is required for installation and operation. In cases with specific site constraints, Chinese wind turbine equipment and solution providers can tailor AI solutions for each wind farm, enhancing performance, increasing power generation, and extending turbine lifespan to elevate the overall value of wind farms.
The overall system installation and operation process are as follows:
Key Benefits for AI Predict Maintenance of Wind Energy
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