Real-Time Data Monitoring and Control System for Distributed Energy Sites

The client manages numerous energy generation sites that require real-time diagnostics, status updates, and control capabilities. They face difficulty in aggregating data centrally, performing real-time analysis, sending timely alerts, and scaling their platform to support rapid business growth, leading to slower response times and higher outage durations.

A mid-sized utility company managing multiple distributed energy generation assets across diverse locations, requiring centralized monitoring and control to optimize operations and reduce costs.

• Implement a centralized system to store and process real-time data from multiple energy generation sites.
• Enable real-time system diagnostics, status monitoring, and alerting to proactively address issues.
• Develop a web-based interface for monitoring and control of all sites, supporting remote operations and Load Management activities.
• Scale the platform to accommodate rapid growth and increased data volume efficiently.
• Improve response times to operational issues, aiming for at least a 30% reduction, and decrease outage duration by at least 10%.

• A web interface for live monitoring and remote control of all energy sites.
• Real-time data ingestion and processing from site sensors using event-driven architecture.
• Automated alerting system for abnormal site conditions and operational issues.
• Control functionalities to perform Load Management, reducing generator load to optimize costs.
• Data storage solution for historical analysis, supporting ongoing efficiency improvements.

• Sensor and site data communication protocols for real-time data feed.
• Control interfaces for generator operations.
• Notification and alert systems for issue escalation.

• System scalability to handle increasing data flow from additional sites as the business grows.
• High availability and reliability to minimize downtime.
• Secure data transmission and access controls to protect sensitive operational data.
• Performance metrics ensuring data processing and alerting latency remain under a few seconds.

The new platform is expected to enable comprehensive real-time monitoring and control of distributed energy assets, reducing response times by at least 30%, decreasing outage durations by over 10%, and supporting scalable growth. This will lead to improved operational efficiency, cost savings, and enhanced service reliability.