Comprehensive innovation to optimize bifacial solar plants
The main objective of the ITACA project is to advance research into a new holistic operation and maintenance (O&M) system for large-scale utility plants featuring bifacial solar panels with single-axis trackers. To ensure this research encompasses all sectors of expertise involved in maximizing PV plant O&M performance from design through decommissioning, the consortium has established four main lines of research:
- New techniques for State of Health (SoH) characterization of single-axis tracking bifacial PV arrays: This involves monitoring strategies based on hybrid models that enable quantitative diagnosis of losses associated with each degradation mode through operational data analysis.
- New techniques for PV module health state characterization: Utilizing quantitative analysis of electroluminescence (EL) imaging, this approach enables not only the qualitative identification and categorization of anomalies but also provides loss estimation.
- New techniques for PV inverter State of Health (SoH) characterization: Implementing a physical model-based digital twin methodology to eliminate the requirement for real field-operational data.
- New digital services to support field technicians during the specification, installation, and maintenance phases: Assisting technical personnel through compact, robust, and precise generative AI solutions to develop a conversational assistant.
- Application of new condition-based maintenance strategies: Leveraging the previously researched characterization techniques and incorporating expert knowledge into the decision-making process.
Collaborating entities in the ITACA Project
The ITACA project is a multi-year (2025–2027) competitive collaborative experimental development project in which ZGR Corporación participates alongside the following entities and agents of the Basque Network of Science, Technology and Innovation: Global Energy Services Siemsa S.A. (GES), KIWA PIBERLIN IBÉRICA SL (KIWA PIBERLIN), Deusto Seidor S.A. (Deusto Seidor), and Fundación Tecnalia Research and Innovation.
Project No.: ZL-2025/00695

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