Advanced Panel-Level Monitoring and Predictive Maintenance for Optimized Solar Plant Efficiency

The project

Current solar power plants face challenges due to string-based monitoring systems, often overlooking critical panel-level defects.
Existing monitoring methods limit precise defect identification, resulting in compromised data integrity and inefficient power output
predictions. ZERODEFECT4PV offers a streamlined approach with prototype sensors, named Data Collection Units (DCUs), deployed
on individual panels or clusters and linked via a mesh network for optimal panel-level monitoring. This master-slave architecture
ensures seamless data transfer to the Energy Operations Center (EOC) and other analytic and storage components. Features,
including a mathematical “toolbox”, address data inconsistencies, promoting accurate forecasting. These innovations culminate in an
assistant system designed to guide operators through large data volumes, offering actionable KPI-driven insights within the EOC
environment.

24 months

Duration

€ 867,000

Budget

3

Partners

Key points

Relevance: We target pivotal solar plant monitoring inefficiencies, aiming for enhanced renewable energy accessibility and affordability.

Societal Impact: Our project bridges energy efficiency with broader societal and environmental benefits.

Innovation: We merge sensors with AI in a interdisciplinary method, perfectly aligning with the call’s emphasis on groundbreaking energy solutions.

Benefits: Our approach is set to cut operational costs, enhancing the allure of solar energy investments.

Partners

Our consortium is deeply committed to ensuring the highest ethical standards throughout our research, development, and deployment phases. Understanding the inherent challenges posed by the integration of advanced sensor networks, AI analytics, and data processing, we acknowledge and embrace our responsibility towards both stakeholders and the wider society.

BEIA Consult International

Fraunhofer-Institute IFF

INELSO Innovative Electrical Solutions

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Funding partners

This project has been funded by partners of the ERA-Net Smart Energy Systems (www.eranet – smartenergysystems.eu) and Mission Innovation (mission-innovation.net) through the Joint Call 2023. As such, this project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 883973.