Skip to main content
Go to the home page of the European Commission (opens in new window)
English English
CORDIS - EU research results
CORDIS
Content archived on 2024-06-18

Stochastic Optimal Control of multiscale processes with applications to energy systems

Objective

The European energy policy aims to establish Europe as one of the world leaders in renewable energy and low-carbon technologies. The energy challenge consists of the set of technologies and policies that need to be developed in order to enable the transition to a low-carbon economy. The motivation for studying energy systems stems from this challenge.
Studying the properties of energy systems requires the use of advanced simulation and control algorithms for the computation of the optimal system design. The purpose of optimisation is to inform planning or strategic decision-making. A crucial property of energy systems is that they are not exclusively physics based. Rather, energy models combine economics, technology and engineering. Over the last forty years computer models that integrate heterogeneous subsystems have been developed. Current state of the art methodologies make simplifying assumptions about the dynamics of the processes at time scales finer or larger than the primary time-step of the model. With the introduction of new technologies, combined with the need for optimal utilisation of existing infrastructures and the optimal integration of new technologies, it is becoming more and more apparent that finer time-scale processes have important feedbacks on the optimal strategy for longer time-scales that are not captured by the conventional simplifications. The overall objective of the proposed project is to develop simulation and control algorithms for integrated multiscale models. We will use the theory of singularly perturbed Markov processes for the definition of appropriate mathematical abstractions for representing multiscale dynamics in energy models. We will then develop a novel Multiscale Monte Carlo algorithm for the simulation and analysis of such systems. Finally, the theoretical framework will be applied to an integrated transportation and power systems model.

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.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

FP7-PEOPLE-2012-CIG
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.

MC-CIG - Support for training and career development of researcher (CIG)

Coordinator

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
EU contribution
€ 100 000,00
Address
SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
SW7 2AZ London
United Kingdom

See on map

Region
London Inner London — West Westminster
Activity type
Higher or Secondary Education Establishments
Links
Total cost

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.

No data
My booklet 0 0