Objective
Energy efficient building control can have a major impact on reducing the overall energy consumption since a large part of today's energy is consumed
in buildings. The use of model predictive control (MPC) together with weather and occupancy predictions is a promising approach to realize significant
energy savings.
The control of power grids is of major concern due to the increasing number of renewable energy sources which introduce additional variability. This can be
mitigated against by making use of additional storage, e.g. by leveraging the thermal energy storage of buildings.
These areas demand for advanced and novel control solutions, which can handle uncertainty, large-scale systems, distributed systems, and predictions of the future system behavior. The aim is to use recent advances in random convex programming, couple these to MPC and develop a novel stochastic MPC formulation that is tractable for large-scale systems.
The key objectives of this project are:
- Development of stochastic MPC strategies, which address the above challenges.
- Development, implementation and testing of a new energy efficient control strategy for buildings on a test-bed at UC Berkeley.
- Formulation of tractable dynamic power flow problems involving a stochastic formulation and including buildings as additional storage in the formulation.
The project is designed as a structured two-year program, where the first year is carried out at the University of California, Berkeley under supervision of Prof. Tomlin and the second year is carried out at the Swiss Federal Institute of Technology Zurich under supervision of Prof. Morari.
The project will provide the fellow with excellent opportunities to further develop her competences and skills. Furthermore, it will strengthen the collaboration and establish a research network between the two hosts and contribute to Europe's excellence and competitiveness.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology environmental engineering energy and fuels renewable energy
- engineering and technology electrical engineering, electronic engineering, information engineering electrical engineering power engineering electric power transmission
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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-PEOPLE-2011-IOF
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
8092 Zuerich
Switzerland
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.