Objective
Raycatch Ltd. is an Israeli SME that has developed DeepSolar, the first complete automated solar diagnostics tool in the market that provides predictive optimization, quantifiable insights and pinpointed actions. Current PV plants’ monitoring systems can detect a series of standard failures but have a limited resolving accuracy of around 10%. This results in a reduction of the global performance of the plants what in average accounts for 15% of loses of the potential IRR for the owners, which translates into €500,000 annually and up to €12.5 million over the whole lifetime of the plant. Currently, high-accuracy (1%) determination of the exact root cause requires a manual physical check in the field down to the panel level with the associated labour cost of typically €500 per day over many days. DeepSolar tackles this problem thanks to its in-depth automated and continuous diagnostics system that provides full understanding and data-driven maintenance tasks. Based on Artificial Intelligence and signal processing algorithms, DeepSolar gives (i) a very accurate low-error-rate breakdown of performance reduction sources, (ii) root cause analysis, which in turn will allow pinpointed actions to reduce this variation significantly, what turns into an increase of performance of low-performing PV field parts. Raycatch does not need additional hardware like sensors or data loggers, a key characteristic to boost its commercialisation. DeepSolar enables the identification and accurate diagnostic of the PV field together with actions to be taken in order to optimize the plants yield, all this on-going, automatically, and without human interpretation. We estimate the total Addressable Market for AI based solar diagnostics to be €100 million in 2020 and €500 million in 2024. Raycatch’s technology will revolutionize the PV monitoring market by closing the gap of performance differences of PV plants.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences artificial intelligence
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering signal processing
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.3.3. - SOCIETAL CHALLENGES - Secure, clean and efficient energy
MAIN PROGRAMME
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H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
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H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-SMEInst-2016-2017
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
2066725 YOQNEAM
Israel
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.