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Dong Li from China Guangdong Nuclear New Energy Corporation: Opportunities and Challenges for Offshore Wind Power Operation and Maintenance

Dong Li from China Guangdong Nuclear New Energy Corporation: Opportunities and Challenges for Offshore Wind Power Operation and Maintenance

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North Star Wind Power Network News: North Star Wind Power Network News: On June 24th, the "2021 Offshore Wind Power Innovation and Development Conference" jointly organized by North Star Power Network, Shanghai Electric Power University, and Shanghai New Energy Talent and Technology Education Exchange Center was officially held in Shanghai. Mr. Dong Li, Deputy General Manager of the New Energy Operation and Maintenance Business Unit of China National Nuclear Power Corporation, shared the "Opportunities and Challenges of Offshore Wind Power Operation and Maintenance".

In the entire lifecycle of wind power equipment, the longest duration is operation and maintenance, which exposes all problems in the design, manufacturing, and installation stages of wind power equipment. In fact, we have already learned painful lessons from onshore wind power, and there are indeed many problems encountered by wind farms in the later operation and maintenance, with significant investment.

Under the "30 • 60" dual carbon target, offshore wind power faces great development opportunities. What are the difficulties and challenges in the operation and maintenance phase of offshore wind power?

From the current development status of offshore wind power, the trend is towards large-scale wind turbines, large-scale wind farms, and moving towards deep and distant seas. In terms of the operation and maintenance of offshore wind power, CTVs (transportation vessels) are currently the main focus. In the future, with the large-scale development of wind farm deep offshore development, the operation and maintenance may increase investment in SOVs (operation and maintenance mother ships) and WindLift (self moving lifting platforms), including the replacement of large components of wind turbines and lifting maintenance.

Firstly, under the pressure of subsidy recession, the pressure on operation and maintenance costs is particularly significant. This problem no longer only exists in onshore wind power, but also in future offshore wind power. We have not yet experienced and are not very clear about the operating and maintenance costs required for the entire lifecycle of an offshore wind farm from construction to retirement. The above figure shows the classification and proportion of wind power operation and maintenance costs in the East China Sea. In fact, there may be some differences in the proportion of operation and maintenance costs for different offshore wind farms, but it can be confirmed that their main expenditure is still the cost of transportation ships. The above proportion of operation and maintenance costs for offshore wind farms is within the warranty period, and the maintenance and replacement costs for offshore wind turbine equipment have not been calculated yet.

The reachability of offshore wind power operations is relatively poor. All operations require ships, and different operations, different sea conditions, and different offshore distances require different ships, which puts forward higher requirements for ship scheduling management.

Secondly, insufficient verification of wind turbine equipment will bring a huge challenge to offshore wind power. Onshore wind power has experienced many equipment failures and caused huge economic losses. Offshore wind power also faces the same risks, but once equipment failure occurs in offshore wind power, it will bring even greater losses to operation and maintenance. At the same time, there are many problems such as the operation and maintenance of submarine cables, flexible and straight operation and maintenance, and offshore anti-corrosion.

A certain offshore wind farm once experienced bearing problems with two generators. It took three months for the two wind turbines to be replaced, and to reduce losses, both units adopted bearing repair plans and temporarily resumed operation. Among them, the total cost of lifting was 6.8 million yuan, resulting in a loss of 2.2 million kWh of power generation.

Thirdly, the design and construction defects in the early stage of the project will increase the investment and risk in the later stage of operation and maintenance. This design is not only about the overall engineering design and construction defects of the project, but also includes the design and development of equipment, which may lead to

Due to batch failures of equipment during later operation, the investment in later operation and maintenance increased.

Fourthly, the marine environment is complex, with high safety risks, and needs to withstand extreme weather conditions. Especially in typhoon prone areas, how to prepare for typhoon resistance and emergency plans in the wind farm area, including communication with equipment suppliers, taking preventive measures, and emergency management for personnel encountering extreme weather conditions.

Fifth, there is insufficient data application, and the deep state of the device is unknown. Currently, we have entered the information age, but the level of informatization in the wind power industry has not achieved the expected results, especially in offshore wind power. How to achieve data-driven and intelligent operation in wind power operation and maintenance is also a major challenge at present.

Sixth, there is a shortage of personnel and insufficient operation and maintenance capabilities for offshore wind power. There are many types of offshore operations, and high professional operation and maintenance capabilities are required in aspects such as unit foundation inspection, underwater operations, wind turbine equipment, and offshore booster stations. This poses challenges to the comprehensive ability and technical level of operation and maintenance personnel.

How to solve the six major problems faced by the offshore wind power operation and maintenance industry?

One is intelligent application, which can effectively reduce operation and maintenance costs, improve operation and maintenance efficiency, build monitoring, security, early warning, and data centers, and achieve intelligent operation through data-driven methods. This is the future development direction. The second is to manage the entire lifecycle of the wind farm, which means implementing equipment reliability management from the project design and construction stages to reduce the risk of faults throughout the entire lifecycle of the wind farm. The third is to pay attention to the cultivation of operation and maintenance talents and create core competitiveness in operation and maintenance.

The main specific response measures include the following:

Firstly, establish centralized monitoring and create a centralized management mode for operation. Practice has proven that in onshore wind power, through this centralized operation mode, we can achieve personnel reduction and efficiency increase in personnel intensification, wind farm monitoring, asset management, and other aspects, but we need to ensure the accuracy and high quality of data.

Secondly, relying on internet technology, we will create an information platform for spare parts reserve and improve the level of lean material management. Through interconnection, sharing, and backup, inventory information exchange between external and supplier is achieved, ensuring the response speed of urgently needed spare parts while ensuring that spare parts inventory does not rise.

Third, control the source of risk and conduct reliability control throughout the life cycle. Fully consider the factors affecting equipment reliability and key points for improvement, and establish detailed and quantitative reliability evaluation standards and systems from the source. Establish root cause analysis mechanism and risk probability analysis and evaluation mechanism for quality problems, and feed them back to the front end of equipment procurement.

Fourthly, promote the construction of an intelligent status warning system and comprehensively achieve predictive maintenance of equipment. By establishing a big data platform and analyzing systems and units, a system model of wind turbines is constructed, and the operating status of equipment is judged based on this model. Combined with climate conditions and window periods, dynamic maintenance and intelligent operation are achieved.

Fifth, strengthen precise weather forecasting, intelligent scheduling, and prevent risks in offshore wind power operation and maintenance. Establish accurate ocean weather forecasting models, personnel and vessel scheduling models, operation and maintenance strategy optimization models, and prevent offshore wind power operations through meteorological ocean forecasting and monitoring data, equipment operation data (status monitoring data, fault warning data, etc.), and personnel and vessel data