Development of a Real-Time Asset Monitoring and Control Dashboard for Distributed Energy Resources

The client requires a secure, scalable solution to provide their customers with real-time visibility into turbine performance, operational status, and historical reports from any location. The existing systems lack user-friendly interfaces, real-time data streaming, and remote control capabilities, limiting operational efficiency and customer engagement.

A large-scale renewable energy equipment provider specializing in distributed wind turbines, seeking to enable remote monitoring, management, and data analytics of their turbines through a bespoke web and mobile platform.

• Implement a scalable, cloud-based system to stream live data from multiple turbines in real time.
• Develop an accessible web and mobile dashboard offering real-time operational metrics, status indicators, and visual analytics.
• Enable remote start/stop and control features for turbines through the platform.
• Ensure the system handles high volumes of turbine data efficiently, managing connections and data updates seamlessly.
• Deliver a secure, user-friendly, responsive interface optimized across devices.
• Provide alert and notification functionalities based on operational events or threshold breaches.

• Real-time data streaming from turbines via WebSockets or equivalent technology.
• A custom, cloud-hosted data server that pulls live data from turbines' industrial OPC UA servers, reformatting for web delivery, with dynamic data fetching based on user interaction to optimize performance.
• A rich, interactive dashboard displaying turbine statuses, power outputs, and components via animated graphs, gauges, and maps, with seamless updates.
• Authentication and session management systems to secure user access.
• Remotely start and stop turbines through secure commands sent via the platform.
• Scalable architecture supporting multiple turbines and users concurrently.
• Responsive design to ensure usability across desktops, tablets, and smartphones.

• Industrial OPC UA servers for live turbine data retrieval
• User authentication and authorization systems
• Notification and alert systems for event-driven communication
• Remote command interfaces for turbine control

• Scalable architecture capable of handling an increasing number of turbines and users without performance degradation
• Minimal latency in data streaming and command executions, ideally real-time (sub-second delays)
• System goes into energy-saving modes during inactivity to optimize resource usage
• Robust session management with secure login, authentication, and authorization
• High levels of security to prevent unauthorized access or control

The new monitoring platform is expected to significantly enhance operational efficiency by providing real-time visibility into turbine performance, enabling proactive maintenance, and reducing downtime. It aims to support scalable growth in turbine deployment, improve customer satisfaction through remote management capabilities, and facilitate data-driven decision-making, ultimately contributing to increased energy output and operational cost savings.