Green Energy Management: AIoT Technology Powers the Maintenance and Operation of Power Stations
As the demand for renewable energy continues to rise, traditional maintenance approaches for power stations have struggled to keep up with the increasing requirements for resource management and value optimization. This has prompted a shift from “passive maintenance” to “active operation management,” leading to enhanced operational efficiency.
On September 25, 2025, the Southern Power Grid will host the fifth session of the Green Energy Management Forum in Wuhan. The management board has proposed a new operational model focused on integrating online and offline maintenance strategies.
The proposed model incorporates a comprehensive approach combining human resources, material management, and safety evaluations, while also optimizing inspection and maintenance procedures. The goal is to achieve efficiency through an integrated management system that utilizes real-time data collection and analysis.
To achieve this, Green Energy has established a smart technology framework designed to enhance operational efficiency. This framework is adaptable and can quickly respond to various energy sources and operational conditions, including wind, solar, and hydroelectric systems.
The framework operates on a “terminal-edge-cloud” model, where data is collected at the terminal, processed at the edge, and analyzed in the cloud. This allows for real-time monitoring and decision-making, minimizing downtime and improving reliability.
Utilizing AI algorithms, the framework can analyze data across multiple dimensions, such as temperature, humidity, and wind speed, to provide proactive alerts and streamline maintenance operations. This shift from reactive to proactive maintenance aims to reduce energy loss during outages.
Additionally, the intelligent management system integrates various technologies, including robotic inspections, unmanned aerial vehicles, and advanced monitoring equipment, to enhance operational efficiency and safety.
The smart management system also allows for rapid positioning of energy assets, ensuring optimal performance while minimizing costs. By utilizing AI-driven predictive analytics, it can estimate energy prices in real-time, facilitating effective financial decision-making.
As of now, Green Energy has already implemented maintenance operations for power stations with a capacity of approximately 3GW, with a data processing capacity of around 10GW. The operational strategies focus on integrating various energy landscapes, facilitating effective application.
Through AIoT technology, the management system aims to enhance the operational capabilities of power stations, addressing current challenges in energy production and extending the lifecycle of assets.
The upcoming session will showcase the latest trends and technologies in energy management, providing insights into the future of renewable energy operations.
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Original article by NenPower, If reposted, please credit the source: https://nenpower.com/blog/green-energy-management-advancements-in-aiot-technology-for-power-plant-maintenance-and-carbon-neutrality/
