R&D Projects
Explore our projects below to see how these inspections work in real-world conditions.
Autonomous Drone Monitoring for CSP Solar Plants
Reliable monitoring is essential for the safe and efficient operation of large-scale concentrated solar power (CSP) plants.
AuDroMon has developed a fully automated, drone-based monitoring system that combines autonomous flight operations with integrated data analysis. By linking autonomous drone landing and charging infrastructure with our Volateq Solarinspektor, the system enables the continuous and scalable surveillance of CSP installations with minimal on-site intervention.
Highlights
Fully autonomous drone operations and landing platform
Automated measurement data analysis via Volateq Solarinspektor
Continuous monitoring of large-scale CSP solar fields
APV Monitor: Autonomous Monitoring for Agri-PV Systems
Ongoing Project
APV Monitor is an R&D project focused on agri-photovoltaics, developing autonomous monitoring solutions for combined agricultural and solar power systems.
The project integrates drone-based inspections of PV infrastructure and crop growth with data-driven analysis to support more efficient and economically viable operation of agri-PV plants.
All developments are validated under real operating conditions at the Alt-Morschenich Agri-Food and Energy Park.
Results
Reliable joint monitoring of PV assets and crops
Reduced inspection effort through autonomous workflows
Improved operational insight for agri-PV optimization
SILOW – Enabling Cost-Efficient High-Temperature Process Heat
Ongoing Project | October 2025 · August 2028
SILOW is an R&D project that enables cost-efficient, low-pressure silicon oil technologies to decarbonize high-temperature process heat up to 450 °C.
By enabling lower system pressures and higher operating temperatures, the project supports the cost-effective decarbonisation of industrial heating, solar thermal systems and power-to-heat applications. Funded by German Ministery of Economics and Energy (BMWE).
Volateq contributes with automated, real-time analysis of drone and infrared data to enhance the operational efficiency, reliability and early fault detection of thermal installations.
Results
Lower operating costs for high-temperature heat systems
Reduced downtime through early fault detection
Improved investment security for thermal assets
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