Operation, Performance and Maintenance of PV Systems
Closed
Status as published by the data source.
Expected Outcome:
Photovoltaic power generation is pivotal in the transition to a clean energy system and the achievement of a climate-neutral economy. Its current contribution to global electricity demand is around 5% and is rapidly growing. PV already represents a share of more than 8% of the electricity generation in some EU Member States/Associated countries while penetration levels are expected to reach soon double-digit in Europe. It is within this scenario that the PV sector will ensure that the installed power capacity in GW can also reliably generate TWh of electricity for an extended lifetime.
Therefore, project results are expected to contribute to all of the following expected outcomes:
• Increase PV system performance, reliability, security and flexibility under various topology and operating conditions with enhanced digitalisation
• Increase utility-friendly integration of PV generation into the European energy system at high-penetration levels and the profitability of PV systems Scope:
Proposals are expected to demonstrate technical solutions, processes and models, which increase a PV system's operational performance, stability and reliability. The introduction of novel PV technologies and novel PV system designs makes the need of increased field performance and reliability a continuous industry demand.
More specifically, proposals are expected to:
• Demonstrate integrated multi-aspect sensing (optical, thermal, electrical) into PV modules to suppress degradation, detect unwanted operating conditions and avoid failures with emphasis on achieving high MWh/Wp (e.g. shade tolerant; more advanced electronic design with in-module components).
• Demonstrate smart control/tracking systems (e.g. coupled with real-time monitoring data, forecasting, EMS, etc.) for performance optimisation in specific PV applications (e.g. “self-protection” under extreme events in harsh environments like dust/snow storms).
• Demonstrate hybrid or integrated monitoring-diagnostic imagery solutions for maximum spatiotemporal granularity and diagnostic resolution. Multispectral imagery inspections linked with electrical signature, synchronisation of field techniques with monitoring.
• Apply edge AI and Big Data to improve the energy yield (advanced module control, self-reconfigurable topologies, etc.), module and plant models, monitoring and yield forecasting considering user behaviour and modelling of the entire electricity system including storage.
• Build large (time and scale-wise), wide (including not only yield but multisensory operational, thermal, mechanical and environmental data) and possibly publicly available datasets to enable, foster and empower AI for Digital PV at European scale.
• Demonstrate automated and predictive PV asset management software based on sensor-data-image fusion and/or AI / Machine learning techniques to reduce human effort and increase trustworthiness of current PV asset management software.
• Enable AI-based energy trading at plant level, taking care of specific climates /applications / conditions (snow, dust, environmental pollution, water…)/user behaviours. null
Activities are expected to achieve TRL 6-7 by the end of the project – see General Annex B.
- Status
- Closed
- Deadline
- (time not stated)
- Opens
- Published
- Total budget
- €10,000,000
- Grant range
- €5,000,000 – €5,000,000
- Country
- European Union (EU-wide)
- Programme
- Horizon Europe (HORIZON)
- Official page
- Open at the source portal
Other calls under Horizon Europe (HORIZON)
- PV based electrification of the economy: Designing & optimising PV systems supporting industrial electrification and promoting participation in electricity markets (EUPI-PV Partnership)
- Advanced TSO control rooms to enhance grid observability, stability and resilience
- Advanced Distribution Management Systems (ADSM) for more efficient and flexible distribution grids
- Community of practice - Data-Driven Decision-Making in Energy
- Industrial processes and equipment for innovative, reliable and scalable tandem technologies (EUPI-PV Partnership)
- Integrated Approaches for Retrofitting Infrastructures with Innovative Energy Storage Technologies
- Demonstration of hydropower technologies for efficient and forward-looking refurbishment of existing hydropower plants
- Delivery of industrial CCUS clusters – Societal Readiness pilot
All calls under this programme
Similar opportunities
- PV based electrification of the economy: Designing & optimising PV systems supporting industrial electrification and promoting participation in electricity markets (EUPI-PV Partnership)
- Production technologies for solar photovoltaics beyond the state-of-the-art (EUPI-PV Partnership)
- Resource Efficiency of PV in Production, Use and Disposal
- Alternative equipment and processes for advanced manufacturing of PV technologies
- Innovative, Community-Integrated PV systems
- Large Area Perovskite solar cells and modules
Where this came from
- Source document
- https://ec.europa.eu/info/funding-tenders/opportunities/data/topicDetails/horizon-cl5-2023-d3-02-13.json
- Document fingerprint
3407d13127b2a12c(SHA-256, first 16 hex characters)- Retrieved
- First recorded here
What has changed
- url first recorded as https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/horizon-cl5-2023-d3-02-13 on
- currency first recorded as EUR on
- amount_max first recorded as 5000000.00 on
- amount_min first recorded as 5000000.00 on
- budget_total first recorded as 10000000.00 on
- deadline first recorded as 2023-09-05 on
- opens_on first recorded as 2023-05-04 on
- published_on first recorded as 2022-12-07 on
- status_basis first recorded as source_status on
- status first recorded as closed on
- title first recorded as Operation, Performance and Maintenance of PV Systems on
Data source
© European Union, 2026. Source: EU Funding & Tenders Portal. Reused under Commission Decision 2011/833/EU — CC BY 4.0.
Retrieved from the source on .
The source last updated this document on Tue, 17 Feb 2026 17:10:00 GMT.
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