PROJECT
GOALS
- Unify the monitoring of wind, solar, and battery assets in one platform.
- Enable real-time updates on asset performance and status.
- Predict and prevent system failures with intelligent maintenance tools.
- Improve stakeholder communication with customized reports.
- Integrate with SCADA systems for smooth and continuous data flow.
SOLUTIONS
- Real-time data dashboards: Interactive views of turbines, solar panels and storage systems with performance metrics and environmental conditions.This is some text inside of a div block. This is some text inside of a div block. This is some text inside of a div block.
- Predictive Maintenance Engine: AI-based alerts that detect potential issues before they escalate, reducing unplanned downtime.
- SCADA Integration: Integration with the existing SCADA infrastructure to ingest and visualize asset data in near real-time.
- Custom reporting tools: Role-based reporting modules designed specifically for internal teams and external stakeholders.
TECHNOLOGIES
- Frontend: React, D3.js
- Backend: Python, Node.js
- Infrastructure: AWS (EC2, Lambda, S3), Docker, Kubernetes
- Data & IoT: MQTT, InfluxDB, Grafana
- Analytics & AI: TensorFlow, Scikit-Learn
- Security & Access Control: OAuth 2.0, Role-Based Access
RESULTS
- Improved operational efficiency: Operators gain a complete picture of asset performance, enabling faster response to faults and maintenance needs.
- Reduced Downtime: Predictive alerts minimized unexpected outages and extended asset life.
- Data-driven analytics: Centralized analytics enabled more informed decisions and clearer communications with investors and stakeholders.
- Scalable architecture: The system is designed to support the integration of future energy assets and additional sensor types.