Renewable Energy Operator
A European clean energy provider managing solar and wind farms partnered with us to build a Smart Monitoring and Alerting System that improved uptime, reduced manual interventions, and enabled predictive maintenance across all sites.
- Time to hire – Immediate
- Core team – 1 BA, 1 Delivery Manager, 1 Frontend Engineer, 1 Backend Engineer, 1 Data Engineer, 1 QA
- Duration – 2,5 years (2023 – ongoing)
- Budget – EUR 900k+
About the company
The Renewable Energy Operator specializes in managing utility-scale solar and wind energy assets across the EU. Focused on sustainability and operational efficiency, the company is committed to leveraging smart technologies to ensure maximum uptime and performance from renewable sources.
Project Overview
The Renewable Energy Operator partnered with our team to build a Smart Monitoring and Alerting System that centralizes real-time data from solar panels and wind turbines across multiple sites. The system required live dashboards, predictive fault detection, performance analytics, and maintenance scheduling tools—all designed for the unique demands of clean energy infrastructure.
Using our dedicated Talent as a Service model, we deployed a multidisciplinary team to deliver a scalable, cloud-based monitoring platform. The solution integrates IoT sensor data, supports historical performance visualization, and empowers field technicians with real-time insights.
The platform also enables configurable alert thresholds and automated maintenance workflows, allowing both central operators and field teams to take proactive action—minimizing downtime and reducing the cost of on-site inspections.
Challenges and Pains
Inconsistent Asset Visibility
The client struggled with fragmented and delayed data across their solar and wind farms, making it difficult to detect performance issues early and accurately.
Slow Fault Response Times
Legacy systems offered limited insights and reactive alerts, leading to prolonged equipment downtime and delayed maintenance interventions.
High Cost of Manual Inspections
Without predictive tools, the operator relied heavily on costly on-site visits and manual checks, which slowed down operations and increased operational expenses.
Need for Scalable and Real-Time Insights
The company required a solution that could handle large volumes of sensor data, provide instant updates, and scale efficiently with expanding infrastructure.
Lack of Unified Monitoring Platform
Managing multiple energy sources without a centralized system created data silos and made it hard to optimize performance across sites.
Need for Scalable and Real-Time Insights
The company required a solution that could handle large volumes of sensor data, provide instant updates, and scale efficiently with expanding infrastructure.
Solution
We tackled the Renewable Energy Operator’s challenges by deploying a dedicated cross-functional team with deep expertise in clean energy and IoT systems. The team included a Delivery Manager, Business Analyst, QA engineer, Data Engineer, and experienced frontend and backend developers—assembled and onboarded immediately to kick off the project.
- Real-Time Visibility: We built live dashboards to track energy output, temperature, and error codes from solar and wind assets across all sites.
- Predictive Maintenance: Using sensor and performance data, we implemented intelligent alerting and automated fault detection to catch issues before they caused downtime.
- Scalable Architecture: The system was designed to handle increasing data loads and integrate with Azure and IoT sensor APIs, supporting future expansion.
- Streamlined Field Operations: A built-in scheduling interface enabled technicians to plan maintenance proactively, reducing reliance on reactive site visits.
- Fully Managed Delivery: Our team handled end-to-end execution, allowing the client to stay focused on strategic goals while we ensured stable delivery and ongoing support.
