TRUST-PV project: how to increase integration of reliable PV plants
TRUST-PV project: how to increase integration of reliable PV plants
TRUST-PV will demonstrate increase in performance and reliability of PV components (e.g. module O&M friendly design, inverter enabled O&M solutions, aftermarket coatings, extended testing beyond standard) and PV systems (e.g. more accurate yield models and assessment, data-driven mitigation measures from monitoring and advanced field inspection, reliability of novel system concepts such as floating PV) in large portfolios of distributed and/or utility scale PV.
The TRUST-PV results will be tested and demonstrated from fab to field and all data gathered along the value chain will flow into a decision support system platform with enhanced decision-making using AI.
The innovation at the point of connection is based on the deployment of tailored strategies for the residential sector (better observability of performance with cost-effective monitoring solution, use of storage to enable renewable energy communities) and the utility sector (e.g. combination of advanced forecasting with storage and regulation through power plant controllers) with the final aim of improving the hosting capacity and increase stability.
Finally, in TRUST-PV we envision a path of circular economy which enhances disposed components/material recovery for further use in the industry, to support progressive steps of plant repowering, aimed at increasing their production and lifetime without requiring additional land.
The innovation at component level in TRUST-PV will be driven by the needs of stakeholders operating in a later stage of a PV project, i.e. Asset managers, EPC and O&M operators. TRUST-PV PV modules will thus become O&M friendly and inverter will enable rapid and cost-effective field inspection.
The innovation at system level will fully exploit the digitalisation of the PV sector by linking 3D design with BIM concepts, developing more accurate models for yield assessments, and closing the gap between performance and failure detection through monitoring and field inspection.
Partners
- ACCADEMIA EUROPEA DI BOLZANO
- INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM
- UNIVERSITY OF CYPRUS
- BAYWA R.E. OPERATION SERVICES SRL
- TUV RHEINLAND ENERGY GMBH
- INACCESS NETWORKS S.A.
- 3E
- PVCASE UAB
- REUNIWATT
- DSM ADVANCED SOLAR B.V.
- EPIA SOLARPOWER EUROPE
- RAPTECH SRL
- SAIDEA SRL
- ENEL GREEN POWER SPA
- SOLAR CENTURY HOLDINGS LIMITED
- HUAWEI TECHNOLOGIES DUESSELDORF GMBH
- ABOVE SURVEYING LTD
- TECHNISCHE UNIVERSITEIT DELFT
- INNOSEA
- SOLAR MONKEY
Start date: 1 September 2020 - End date: 31 August 2024
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 952957.