Ziel
Modern office buildings are routinely using up to 3.5 times more energy than expected. This incredible performance gap is mainly due to badly adjusted control settings. Beyond the energy bill, these buildings offer bad thermal comfort and generate a lot of work for management of complaints and manual tweaking of the controls.
3E has developed an Artificial Intelligence based tool to improve comfort & decrease energy, operational costs and CO2 emissions of buildings & building portfolios. Technically speaking, SQ Building is a machine learning technology which predicts the behaviour of a building in function of its characteristics (glazing, orientation, building materials), occupation of the building (people & equipment), and the meteo forecasting. Based on this, SQ Building continuously optimizes the building management.
Our clients are the asset, property and facility managers. SQ Building will empower them to finally trade off the trilemma of comfort, energy and operational costs.
SQ Building achieves a drastic improvement in thermal comfort, between 15 and 40% reduction of energy costs and a significant reduction of operational effort (less interventions), validated and demonstrated in different real-world pilots since 2015.
In 2016, we concluded a strategic collaboration agreement with Sodexo Belgium for whom we run a commercial pilot since February 2017. We have currently contracted 67,000 m² of buildings and have issued offers for more than 1,000,000 m².
Commercially, we envision €16 million of revenues over the next five years and accelerated scaling after Year 4. These will generate €50-100 million of savings for our clients through better comfort, energy savings and reduced operational efforts.
3E is an independent technology and consultancy company with €10.3 million of revenues in 2017. Over the past eight years, we successfully commercialized four data-driven software services and created three successful spin-offs with different private investors.
Wissenschaftliches Gebiet (EuroSciVoc)
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
- NaturwissenschaftenGeowissenschaften und verwandte UmweltwissenschaftenAtmosphärenwissenschaftenMeteorologie
- NaturwissenschaftenInformatik und InformationswissenschaftenSoftware
- Technik und TechnologieMaschinenbauThermodynamik
- NaturwissenschaftenGeowissenschaften und verwandte UmweltwissenschaftenAtmosphärenwissenschaftenKlimatologieKlimaänderungen
- NaturwissenschaftenInformatik und Informationswissenschaftenkünstliche Intelligenzmaschinelles Lernen
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Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenUnterauftrag
H2020-SMEInst-2018-2020-2
Finanzierungsplan
SME-2 - SME instrument phase 2Koordinator
1000 Bruxelles / Brussel
Belgien
Die Organisation definierte sich zum Zeitpunkt der Unterzeichnung der Finanzhilfevereinbarung selbst als KMU (Kleine und mittlere Unternehmen).