The ZeroDefect4PV project sets new standards in monitoring and optimizing large-scale photovoltaic systems. Our mission: harnessing technological innovation to boost energy efficiency and reduce maintenance costs – a vital step toward a sustainable solar energy future.
Key achievements from Work Package 2 include:
Fault Diagnosis with AI:
Various algorithms and methods for fault diagnosis have been classified and evaluated based on potential fault scenarios, their characteristics, and impacts. These models enable precise detection and classification of PV faults that affect energy yields.
Innovative Sensor Integration:
Communication architecture, interfaces, and data structures have been thoroughly analyzed and defined. Innovative sensors developed by INELSO enable monitoring at the module level and will soon be integrated into the Integrated Operation Center at Fraunhofer IFF in the Elbfabrik.
Holistic Energy Management:
System requirements have been assessed, functions, KPIs, and layouts defined, and prototypes implemented. Intelligent algorithms ensure seamless integration of energy management and IoT systems, paving the way for predictive maintenance and maximum energy efficiency.
This project is funded by the German Federal Ministry for Economic Affairs and Climate Action, Scientific and Technological Research Council of Türkiye and Executive Agency for Higher Education, Research, Development and Innovation Funding under the ERA-Net Initiative. Partners in the international consortium include:
- BEIA Consult International (Romania): Consortium Leaders – Beceanu Cristian, George Suciu
- İnelso Energy Systems (Turkey): Farzaneh Bagheri
- Fraunhofer IFF (Germany): Hannes Wasser, Christoph Wenge
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