Objective
To solve the energy dilemma, research effort was concentrated on stand-alone buildings weakly tight to their immediate environment. Specifically in each building only key sub-systems were considered individually. Such individual systems were made more effective by becoming pervasive into any building area (the reign of “boxes” and “controllers”). Importing parameters from other sub-systems allowed better regulations (Access or Occupancy management systems). Energy Usage Analysis tools are fairly new on the market. They provide the capability to analyse energy profiles of scattered buildings of large corporations. Energy usage analysis and planning on a district level is inexistent. Neither is Energy Usage Modelling leveraged in control schemes. This leaves an unexplored area for more effective building control schemes and suggests a potential of each smart building to contribute to District level energy optimization schemes, thanks to appropriate behavioural and stochastic models.
In parallel, efforts made many more renewable and cogeneration energy sources available as high capacity energy storage systems. Such systems now increasingly enter into the planning of large districts, but still timidly penetrate individual buildings. Thus, energy flows (electrical or thermal) can be managed through energy usage schemes, planned in time for significant savings.
To reach this aim, it is proposed to play in real time adaptive and predictive behavioural models of buildings and districts, exposed to weather conditions, human presence, energy-efficient materials and technologies. Such models will allow finding optimal supply/demand balancing. Building energy management systems will be turned in real-time configurable ones, bringing flexibility to the building. Thus, buildings will establish, in real-time, energy schemes with the district energy management and information system (DEMIS). AMBASSADOR‘s vision: Flexible buildings to make eco-friendly districts.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technology electrical engineering, electronic engineering, information engineering electrical engineering power engineering electric power generation combined heat and power
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-2012-NMP-ENV-ENERGY-ICT-EeB
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
92500 Rueil Malmaison
France
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Participants (16)
Participation ended
02044 VTT ESPOO
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2000 NEUCHATEL
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75015 Paris
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9200 Gossau Sg
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77731 Willstatt
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20600 Eibar Guipuzcoa
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01013 Vitoria Gasteiz Alava
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16129 GENOVA
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157 72 ATHINA
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2314 LA SAGNE
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1101CH Amsterdam
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1000 BRUXELLES
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02150 Espoo
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SM6 7DF WALLINGTON
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162 00 Praha
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CF10 5BT CARDIFF
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