SEETEL established the “SEETEL Cloud Platform” command center and independently developed the Energy Management System (EMS) - GridLink. Integrating big data analytics and intelligent predictive technology, it can monitor energy consumption, battery balancing and equipment operation status in real time, providing predictive maintenance recommendations to reduce equipment failure risks.
The flexibility and modular design of the GridLink system enable it to handle diverse power generation sources (such as wind and solar energy), which ensures the stability and efficiency of the energy system.
Currently, the Company operates seven dReg project sites totaling 24.1 MW. Since the first site commenced commercial operation in September 2022, the average real-time service quality indicator (Second By Second Performance Measure, SBSPM) has consistently remained above 97%, exceeding the Taiwan Power Company's requirement of 95% and demonstrating the stability of integrated commercial operations.
Seetel combines its self-developed EMS GridLink system with Building Information Modeling (BIM) module technology, delivering intelligent solution functions to maximize energy benefits.
Equipment Lifecycle ManagementReducing Maintenance Costs
The system tracks the entire lifecycle of energy equipment frominstallation through maintenance to decommissioning.It provides maintenance or replacement reminders based on equipment status and predictions, and helps extend equipment lifespan and reduce operational and maintenance costs.
Automated Scheduling Optimizing Energy Use Efficiency
Through the cloud platform, energy management system can intelligently schedule and optimize energy usage based on the demand forecasts and resource availability.
Economic Dispatch Achieving Optimum Energy Allocation
The platform analyzes real-time market energy prices and equipment performance to allocate energy optimally, maximizing economic benefits and reducing costs.
Real-Time Response Maintaining Stable Energy Supply
The platform centrally collects system data to monitor and respond instantly to various changes within the energy management system, including energy consumption, supply fluctuations and fault alarms. Supported by big data and AI technologies, it adjusts system operations within a very short time to ensure stable energy supply.
Information Security Preventing External Attacks and Data Breaches
The system incorporates robust data protection and encryption technologies, along with firewall settings, to ensure the security of all data within the energy management system, and prevent external attacks and data breaches.
BIM Technology Integration Reducing Manual Operation Time
It provides intuitive operation specifically for maintenance tasks, helping to avoid human errors in standardized operating procedures. Maintenance reports are recorded and uploaded in real time to shorten manual operation durations.
Modular Design Customizable / Expandable / Upgradable
Based on Needs
- Flexibility ：Enterprises can select suitable functional modules according to business requirements and add or upgrade modules at any time.
- Scalability：The modular design allows easy expansion and integration of new technologies to meet future development needs.
- Customization ：Different modules can be tailored according to the industry-specific requirements, ensuring the overall system is more precise and effective.
AI Model Training Accurate Battery Capacity Estimation
Through data collection on the cloud platform, AI models are trained to estimate battery capacity without requiring full charge-discharge cycles. This enables precise estimation of battery capacity in the energy storage system. Operational records such as overcurrent data are factored into the analysis. Using these parameters, the system's lifespan can be assessed and scored.
Contact us