Coordinatore | SENSING & CONTROL SYSTEMS SL
Organization address
address: AVENIDA PAISOS CATALANS 71 BAIXOS contact info |
Nazionalità Coordinatore | Spain [ES] |
Totale costo | 910˙816 € |
EC contributo | 910˙816 € |
Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
Code Call | FP7-PEOPLE-2012-IAPP |
Funding Scheme | MC-IAPP |
Anno di inizio | 2013 |
Periodo (anno-mese-giorno) | 2013-02-01 - 2017-01-31 |
# | ||||
---|---|---|---|---|
1 |
SENSING & CONTROL SYSTEMS SL
Organization address
address: AVENIDA PAISOS CATALANS 71 BAIXOS contact info |
ES (IGUALADA) | coordinator | 505˙318.70 |
2 |
VRIJE UNIVERSITEIT BRUSSEL
Organization address
address: PLEINLAAN 2 contact info |
BE (BRUSSEL) | participant | 405˙497.30 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
'SCANERGY, is a vehicle that will form and consolidate a team of researchers towards the development of intelligent algorithms for energy management in a smart city. SCANERGY implies several research and training activities with the objective to integrate it in the industrial domain and produce market results, in terms of products or services. The SCANERGY project proposes a novel SCAlable & modular system for eNERGY trading between consumers and producers (prosumers) in a local level. SCANERGY system will consist of different ICT modules allowing for distributed energy trading between prosumers. The modular and distributed nature of the system offer scalability and robustness to accommodate the growing need for an intelligent decision support system that manage the energy produced and consumed. SCANERGY will be build up by an intelligent multi-agent system that can manage the electricity produced and consumed from a lower level (dwellings) to a higher level (cities). In case of surplus of energy created by a household could be stored in local storage facilities, such as batteries or electric vehicles. The system will include an integration layer for the currently available energy infrastructure and will allow a near real-time coordinated control of the produced and consumed energy in a city. The software modules will implement innovative simulation and prediction models, both online and offline, as well as optimization algorithms that will leverage a more effective and rational usage of all resources available in a city. The proposal will enable a more efficient usage of renewable energy, the reduction of Greenhouse Gas Emissions (GGE), including the quantification of GGE reduction, the improvement of Indoor Air Quality (IAQ) and other comfort indicators. The high-level integrated computational management system will make use of all data and information that is available in real-time in all energy management systems existing in the city.'