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PVCASE

PVCASE UAB
Country: Lithuania
2 Projects, page 1 of 1
  • Funder: European Commission Project Code: 101146883
    Overall Budget: 5,853,980 EURFunder Contribution: 4,906,170 EUR

    SUPERNOVA will embrace existing proven successful concepts (breaking silos and innovating in sector where R&D&I are usually not a common target) and will integrate them with further disruptive key elements: - O&M and grid friendly design of PV plants thanks to advanced solutions in software for the early design and engineering phase to go beyond yield maximisation. Severe weather events are increasing in frequency and bespoke planning and dedicated mitigation measures must be put in place; - Multilayer approach where standalone solutions can be hybridised and connected in interoperable digital platforms; - Avoid a data tsunami effect on stakeholders by leveraging on AI to manage and govern the immense quantity of data and provide solutions using Instruction Tuned Large Language Models; - Share data with a larger basis to generate value for the data provider and for the data user and study how the process could be also monetized; - Develop solutions related to the use of automated processes that can replace the operator's work in data and image collection, increase the intrinsic value of O&M contracts, free up human resources for data analysis itself and therefore the creation of added value in new services ; - Develop solutions that exploits all the previous key elements towards condition monitoring of PV components in view of circular economy (for e.g., reuse), drive optimal procurement for future projects, provide valuable insights for better services (for e.g. insurance) and ultimately increase profitability. Combining these features SUPERNOVA will innovate in: O&M and grid friendly design including mitigation measures for severe weather conditions, tools and components for multi aspect sensing, robotic solutions and their hybridisation, data fusion to generate AI based controlled insights explosion via federated PV asset management, classify PV components for re-use and create a PV data space.

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  • Funder: European Commission Project Code: 952957
    Overall Budget: 12,878,100 EURFunder Contribution: 9,969,040 EUR

    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 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. 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.

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