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DeepSolar

Artificial Intelligence-based diagnostic system for Solar PV Plants

Total Cost €

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EC-Contrib. €

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Partnership

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 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.

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

Project "DeepSolar" data sheet

The following table provides information about the project.

Coordinator
RAYCATCH LTD 

Organization address
address: 13 HATNUFA STREET
city: YOQNEAM
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 https://www.raycatch.com/index.html
 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

 Partnership

Take a look of project's partnership.

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

Map

 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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