TRUST-PV · Project

AI-Powered Digital Twins That Cut Solar Farm Downtime and Boost Energy Output

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Imagine you own a huge field of solar panels — thousands of them — and one day a few start underperforming, but you have no idea which ones or why. TRUST-PV built a kind of "smart medical system" for solar farms: digital twins that mirror your real plant, AI that spots problems before they get expensive, and decision tools that tell you exactly what to fix and when. They even tested this on floating solar panels on water and figured out how to plug large solar farms into the grid without causing blackouts.

By the numbers

consortium partners across the PV value chain

countries validating tools in different market conditions

78%

industry partners in consortium (18 of 23)

SMEs involved in development and testing

demonstration deliverables proven in operational environments

total project deliverables produced

The business problem

What needed solving

Solar farm operators lose money every day their panels underperform — but with thousands of modules spread across multiple sites, finding the problem panels and deciding what to fix first is like finding needles in a haystack. Meanwhile, grid operators struggle to absorb rising solar capacity without voltage problems, and aging plants need repowering strategies that don't require buying new land.

The solution

What was built

TRUST-PV delivered an AI-powered decision support system platform, a digital twin integrated with BIM and the ANTARES platform for accurate yield assessment, data-driven O&M tools using advanced field inspection and monitoring, forecasting applications with fully flexible PV control, PV-plus-storage grid integration solutions, and floating PV operational analysis — all demonstrated in real operational environments across 6 dedicated pilot demonstrations.

Audience

Who needs this

Solar asset managers running distributed or utility-scale PV portfoliosEPC contractors and O&M service providers for solar plantsDistribution grid operators integrating high shares of solar PVFloating solar developers seeking operational performance dataEnergy companies repowering aging solar plants for extended lifetime

Business applications

Who can put this to work

Solar Asset Management

enterprise

Target: Solar farm operators and asset managers with distributed or utility-scale PV portfolios

If you are a solar asset manager struggling with unpredictable panel failures and costly truck rolls — this project developed an AI-driven decision support system proven in operational environments that combines digital twin modeling, advanced field inspection, and data-driven fault detection. With 18 industry partners validating results across 9 countries, the tools help you pinpoint exactly which modules need attention and when, cutting unnecessary maintenance visits.

Energy Utilities & Grid Operators

enterprise

Target: Distribution network operators and utilities integrating high shares of solar PV

If you are a grid operator dealing with voltage instability from rising solar penetration — this project demonstrated PV-plus-storage strategies and advanced forecasting techniques proven in operational environments for both residential and utility sectors. The fully flexible PV concept and power plant controllers were tested to improve hosting capacity and grid stability, giving you concrete tools to manage distributed solar without expensive grid upgrades.

Floating Solar & Emerging PV Markets

mid-size

Target: Developers and EPC contractors building floating PV or repowering aging solar plants

If you are an EPC contractor exploring floating solar or looking to repower aging ground-mounted plants — this project demonstrated the operational behaviour of floating PV systems with numerical modeling and direct performance comparisons to ground-mounted farms. They also developed circular economy approaches for recovering disposed components during plant repowering, extending lifetime without requiring additional land.

Frequently asked

Quick answers

What would it cost to implement these digital twin and monitoring tools?

The project data does not include specific licensing or implementation costs. However, the tools were built with cost-effectiveness in mind — the residential monitoring solution was specifically designed to be cost-effective, and the system reduces expenses by replacing blanket maintenance schedules with targeted, data-driven interventions. Contact the coordinator for pricing details.

Can these tools scale to large solar portfolios across multiple sites?

Yes. TRUST-PV was explicitly designed and tested for large portfolios of distributed and utility-scale PV. The consortium of 23 partners across 9 countries validated the tools across different market segments, from rooftop residential to utility-scale and floating installations.

What is the IP situation — can I license these tools?

The project involved 23 partners including 9 SMEs with a 78% industry ratio, suggesting strong commercial intent. Key outputs like the decision support system, digital twin platform, and the ANTARES integration are likely available for licensing. Contact the consortium coordinator at ACCADEMIA EUROPEA DI BOLZANO for IP and licensing terms.

Has this actually been tested in real operating conditions?

Yes. Six dedicated demonstration deliverables confirm testing in operational environments, covering digital twin yield assessment, decision-making O&M tools, forecasting applications, floating PV systems, and PV grid integration with storage. This is not lab-stage research — it was validated on real solar plants.

How does this integrate with my existing monitoring and SCADA systems?

The project specifically demonstrated integration of the Digital Twin with the ANTARES platform and BIM (Building Information Modeling) systems. The architecture is designed to ingest data from monitoring systems and field inspections across the PV value chain, suggesting compatibility with standard industry data flows.

Does this address regulatory requirements for grid compliance?

The project demonstrated PV-plus-storage solutions for improving hosting capacity and grid stability at the point of connection. Both residential strategies (renewable energy communities, storage) and utility strategies (forecasting, power plant controllers) were tested, directly addressing grid code compliance challenges that come with high solar penetration.

What ongoing support is available now that the project has ended?

The project closed in August 2024. The 18 industry partners — including EPC contractors, O&M operators, and technology providers — are the most likely sources for continued commercial support and deployment. The project website at trust-pv.eu may list individual partner offerings.

Consortium

Who built it

This is a heavily industry-driven consortium: 18 out of 23 partners (78%) come from industry, with 9 SMEs in the mix — well above the typical ratio for EU energy projects. That signals the tools were built by people who actually install, operate, and maintain solar plants, not just by academics studying them. The 9-country spread across Europe (Belgium, Cyprus, Germany, Greece, France, Italy, Lithuania, Netherlands, UK) means the solutions were tested under diverse grid conditions, regulatory environments, and climate zones. The coordinator, Accademia Europea di Bolzano in Italy, anchors the research side, but the real commercial muscle sits with the 18 industry partners who are positioned to bring these tools to market now that the project has closed.

ACCADEMIA EUROPEA DI BOLZANOCoordinator · IT
INNOSEAparticipant · FR
INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUMparticipant · BE
HUAWEI TECHNOLOGIES DUESSELDORF GMBHparticipant · DE
TUV RHEINLAND ENERGY GMBHparticipant · DE
ENEL GREEN POWER SPAparticipant · IT
INACCESS NETWORKS S.A.participant · EL
REUNIWATTparticipant · FR
3Eparticipant · BE
BAYWA R.E. OPERATION SERVICES SRLparticipant · IT
EPIA SOLARPOWER EUROPEparticipant · BE
UNIVERSITY OF CYPRUSparticipant · CY
TECHNISCHE UNIVERSITEIT DELFTparticipant · NL

How to reach the team

Accademia Europea di Bolzano (Bolzano, Italy) — search for TRUST-PV project lead or contact via the project website

Order a report on this consortium See ACCADEMIA EUROPEA DI BOLZANO profile →

Next steps

Talk to the team behind this work.

Want an introduction to the TRUST-PV consortium for licensing their digital twin or decision support tools? SciTransfer can connect you with the right partner for your specific PV portfolio needs.

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