Project description
ICT for energy-efficient buildings and spaces of public use
This project develops a novel Self Learning Energy Efficient builDings and open Spaces (SEEDS) Facility Management system. The system will allow buildings to maintain user comfort whilst minimising energy consumption and CO2 emissions.
SEEDS will develop an open architecture suitable both for retrofitting existing buildings and open spaces and for new building design.
SEEDS will be based on research and scientific advances in wireless sensor technology, machine learning, and Bayesian networks, as well as standard statistical methods to enable the relationships between key variables to be continuously learned, facilitate prediction and enable control.
SEEDS' results will be validated in two pilots at opposite sites of Europe: i) part of a university campus (Stavanger, Norway) including several buildings and open spaces and ii) an office building plus parking area (Madrid, Spain).
The Consortium includes organisations from the building, electronic and ICT and energy sector. The dissemination and active contribution to forums such as ICT4EB will assure the impact of the proposal.
The economical and environmental benefits of the project are: 1) Reduction of energy consumption and costs and CO2 emissions; 2) Reduction of first adjustment and maintenance costs; 3) Maintenance of natural resources and reduction of generated waste.
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 electronic engineering sensors
- natural sciences computer and information sciences artificial intelligence machine learning
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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.
FP7-2011-NMP-ENV-ENERGY-ICT-EeB
See other projects for this call
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
29004 Malaga
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.