50MW Wind Farm Generates Additional 1.8 Million Yuan in Annual Revenue, Goldwind Creates Asset Value Enhancement Model

Deep News2025-12-26

As the "15th Five-Year Plan" period approaches, the wind power industry is transitioning from "scale-driven" growth to "value leapfrogging," signifying that wind farms must upgrade their operational models—shifting focus from mere power generation output to enhancing overall asset value. Goldwind Science & Technology Co., Ltd. has facilitated an operational upgrade for the Renli Chujia Wind Farm, transforming it "from a factory to a company" through precise technical retrofits, intelligent operations and maintenance, and power trading. This initiative has resulted in additional annual revenue exceeding 1.8 million yuan and increased annual power generation by over 4.6 million kWh, setting a demonstrative example for adding value to new energy assets. Located in Qihe County, Dezhou City, Shandong Province, the Renli Chujia Wind Farm has a total capacity of 50MW. It utilizes Goldwind's GW150-2.8MW and GW140-2.5MW turbine units and achieved full-capacity grid connection in December 2022. Since commissioning, the project's power generation performance has consistently led among similar regional projects. It was awarded the "5A Wind Farm" designation by the China Electricity Council in 2024 and has achieved "100-day fault-free operation" twice consecutively. Building on this foundation, Goldwind implemented an operational model upgrade to further enhance the site's asset value.

Strengthening turbine performance has been key to boosting power generation value. In 2024, the Renli Chujia Wind Farm initiated a comprehensive turbine performance enhancement project, formulating differentiated strategies for various wind speed segments. Technical optimizations included turbine start-stop optimization, blade and Kopt optimization, electrical drive train efficiency improvements, and precise start-up torque control. These measures effectively increased the annual power generation of the entire farm, which exceeded 150 million kWh in 2024. The equivalent utilization hours reached a high of 3,178 hours, equivalent to saving nearly 40,000 tons of standard coal and reducing CO2 emissions by approximately 110,000 tons annually. In 2025, the project introduced LiDAR-based yaw optimization technology to address measurement deviations caused by wear from sand and salt spray on traditional anemometers and interference from the rotor. This upgrade achieves multiple objectives: precise wind alignment, adaptation to complex wind conditions, early warning for extreme winds, and reduced mechanical wear. Post-retrofit, the annual power generation is expected to increase by over 1.1 million kWh.

Intelligent operations and maintenance have created significant service value. Since 2024, the Renli Chujia Wind Farm has deployed drone-based intelligent inspections. Equipped with high-definition cameras and infrared thermal imaging devices, drones can quickly scan the entire site and accurately identify hazards difficult to detect with the naked eye, such as broken strands in conductors, damaged insulators, and overheated connections. Since implementation, 32 line defects have been identified and addressed, improving personnel efficiency by over 30%. To mitigate risks from foreign objects on transmission lines (e.g., agricultural plastic film, branches), Goldwind innovatively applied laser clearing devices. Utilizing AI visual recognition and automatic parameter optimization, these devices can precisely emit lasers from over 100 meters away to remove obstructions without causing physical damage to conductors or insulators. Single operation times have been reduced from several hours to just minutes, significantly enhancing emergency response speed. To date, over 50 incidents involving foreign objects and vegetation encroachment have been successfully handled, preventing nearly 2.7 million kWh of potential energy loss, saving over 320 man-hours, and markedly improving power supply reliability and O&M cost-effectiveness.

Activating green electricity trading has unlocked substantial market value. Following the reform of the new energy market, time-of-use electricity prices have become a critical factor for project revenue, making power trading a vital tool for asset value appreciation. Goldwind developed a dynamic power trading decision model based on the联动 analysis of real-time electricity prices, wind resource forecasts, and turbine status, enabling scientific planning for power delivery schedules. By anticipating price trends and flexibly adjusting O&M strategies—scheduling maintenance during low-price periods and ensuring full, stable generation during peak hours—this approach effectively enhances the wind farm's market competitiveness. It is projected to increase annual revenue by approximately 1 million yuan, truly realizing the principle of "selling good wind at a good price" and providing a replicable operational template for participating in the spot electricity market. Furthermore, the project actively responds to green power consumption trends, expanding its environmental asset value through Green Electricity Certificate (GEC) transactions. In 2024, the Renli Chujia Wind Farm sold over 133,000 GECs, generating revenue of about 950,000 yuan, equivalent to helping consumer enterprises certify green power consumption of approximately 130 million kWh. GEC trading not only provides additional income but also strengthens the farm's brand influence and competitiveness in the green power market, achieving a win-win for both environmental and economic benefits.

In the new market environment, every wind farm should be managed like a "company," continuously optimizing all operational aspects to enhance asset value comprehensively. The successful实践 at the Renli Chujia Wind Farm by Goldwind provides a replicable model for the industry, offering robust support for the sustained prosperity of the new energy market.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

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