Stochastic Optimal Control of multiscale processes with applications to energy systems

Projektinformationen

SOC-MP-ES

ID Finanzhilfevereinbarung: 274932

Abgeschlossenes Projekt

Startdatum 8 April 2011

Enddatum 7 April 2013

Finanziert unter

• Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Gesamtkosten € 170 901,60

EU-Beitrag € 170 901,60

Koordiniert durch

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Switzerland

Ziel

"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 optimization 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 utilization 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."

Wissenschaftliches Gebiet

• engineering and technology › environmental engineering › energy and fuels › renewable energy
• social sciences › economics and business › economics
• natural sciences › computer and information sciences › software › software applications › simulation software

Programm/Programme

• FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Thema/Themen

• FP7-PEOPLE-2010-IEF - Marie-Curie Action: "Intra-European fellowships for career development"

Aufforderung zur Vorschlagseinreichung

FP7-PEOPLE-2010-IEF
Andere Projekte für diesen Aufruf anzeigen

Finanzierungsplan

MC-IEF - Intra-European Fellowships (IEF)

Koordinator

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH

Kontakt Verwaltung

Petros Koumoutsakos (Prof.)

• EU-Beitrag: € 170 901,60
• Adresse: Raemistrasse 101 ; 8092 Zuerich ; Schweiz
• Region: Schweiz/Suisse/Svizzera › Zürich › Zürich
• Aktivitätstyp: Higher or Secondary Education Establishments
• Gesamtkosten: Keine Daten