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| Funder | European Commission |
|---|---|
| Recipient Organization | Cnet Centre for New Energy Technologies Sa |
| Country | Portugal |
| Start Date | Sep 01, 2021 |
| End Date | Aug 31, 2024 |
| Duration | 1,095 days |
| Number of Grantees | 14 |
| Roles | Participant; Third Party; Coordinator |
| Data Source | European Commission |
| Grant ID | 101023666 |
SMART2B aims to 1) upgrade smartness levels of existing buildings through coordinated control of legacy equipment and smart appliances, 2) implement interoperability in two existing cloud-based platforms that are currently available in the European market and, as a result of this project, will be integrated into a single building management platform, 3) create a user-centric ecosystem that empowers citizens by simplifying equipment and device control and providing information about overall energy performance.
The cloud-based platform will facilitate smartness upgrades of existing buildings, enabling their transition from passive buildings to active elements of the energy system by offering new energy and non-energy services such as increased energy efficiency, improved indoor comfort to the occupants and flexibility to various stakeholders including DSOs, building managers and other third-parties.
Thereupon, specifically tailored to the needs of the user, SMART2B will provide new business models for the building energy market combining the savings from energy efficiency measures and gains from the active contribution of the building through flexibility services by exploiting the maximum level of smartness.
The experience and maturity of solutions from the consortium partners will ensure market uptake through sound exploitation and replication activities carried out by the strong commercial backbone of SMART2B.
SMART2B will develop and deploy non-intrusive IoT sensors and actuators in existing buildings aiming to solve one of the main problems of improving buildings’ indoor comfort and energy efficiency: the structural (physical and financial) limits of installing, monitoring, automating and control existing devices in buildings, by proposing plug & play devices able to interact with the appliances and legacy equipment already installed and communicate the collected data to the cloud for remote monitoring, data analysis based on AI and machine learning and control.
Vlaamse Instelling Voor Technologisch Onderzoek N.V.; Fciencias.Id - Associacao Para A Investigacao E Desenvolvimento de Ciencias; Technische Universitaet Graz; Ethniko Kentro Erevnas Kai Technologikis Anaptyxis; Odin Solutions Sociedad Limitada; Albertslund Kommune; Rheinisch-Westfaelische Technische Hochschule Aachen; Smart Energy Lab - Association; Enerbrain Srl; Edp Comercial Comercializacao de Energia Sa; Cnet Centre for New Energy Technologies Sa; Santa Casa Da Misericordia de Lisboa; Faculdade de Ciencias Da Universidade de Lisboa; Day One Societa A Responsabilita Limitata
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