Opendata, web and dolomites


Artificial Intelligence-based diagnostic system for Solar PV Plants

Total Cost €


EC-Contrib. €






 DeepSolar project word cloud

Explore the words cloud of the DeepSolar project. It provides you a very rough idea of what is the project "DeepSolar" about.

continuous    diagnostics    check    days    sources    resolving    2024    annually    root    provides    owners    accurate    addressable       loggers    differences    accounts    complete    monitoring    full    data    total    error    boost    variation    breakdown    global    turn    12    signal    pv    10    reduce    closing    limited    commercialisation    quantifiable    intelligence    sme    accuracy    hardware    exact    human    parts    thanks    solar    predictive    market    pinpointed    series    500    algorithms    physical    automated    million    identification    insights    estimate    actions    optimize    lifetime    day    performance    gives    artificial    irr    loses    detect    additional    failures    deepsolar    maintenance    israeli    interpretation    ltd    tackles    15    gap    revolutionize    standard    plant    plants    significantly    performing    panel    raycatch    tool    turns    optimization    translates    automatically    labour    diagnostic    sensors    manual    rate    yield    ai    2020    first   

Project "DeepSolar" data sheet

The following table provides information about the project.


Organization address
address: 13 HATNUFA STREET
postcode: 2066725
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Israel [IL]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3.3. (SOCIETAL CHALLENGES - Secure, clean and efficient energy)
2. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
3. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2017
 Duration (year-month-day) from 2017-12-01   to  2018-03-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    RAYCATCH LTD IL (YOQNEAM) coordinator 50˙000.00


 Project 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.

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The information about "DEEPSOLAR" are provided by the European Opendata Portal: CORDIS opendata.

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