Process Control & Energy Systems

RESEARCH LINE

Process Control & Energy Systems

Our mission is to advance the field of control and optimization for future energy systems. Through cutting-edge research, we aim to develop distributed optimization and control tools for a sustainable and resilient energy future.

In the dynamic landscape of energy generation, distribution, and consumption, control systems and optimization play a pivotal role in building a scalable, resilient, and a zero-carbon energy infrastructure

As energy systems undergo electrification and decarbonization across sectors, they are becoming increasingly interconnected and complex. This transformation creates a growing need for precise coordination of energy generation, storage, distribution, and demand across domains such as buildings, mobility, and industry. Addressing these challenges requires advanced optimization and control strategies that enable efficient and flexible system operation.

A central focus of this research line is the development of optimal control methods for real-time decision-making in large-scale, interconnected energy systems, including industrial and residential energy hubs. By optimally coordinating energy demand, consumption, and storage, these approaches enhance renewable energy utilization, reduce costs, and improve overall efficiency. Part of this work is also supported by two prestigious VENI grants from NWO.

At the same time, clean electrification requires zero carbon energy production. Beyond conventional renewable energy sources, nuclear fusion is the holy grail of carbon-free energy production given its theoretical capability to produce stable baseload. However, safe and optimal operation of nuclear fusion reactors is not possible without control engineering. This research line also aims at addressing the control challenges within nuclear fusion, in collaboration with the Energy Systems and Control group at DIFFER.

Projects

To each their own: Decision-making in a connected world

Dynamic Home Energy Management: Optimizing for a Sustainable Future [DHEMOS]

Research groups

Group Odyssey

Odyssey is a group of researchers within the CST section who have embarked on a journey to progress the science of Systems Engineering,…

Group Chanfreut

Advancing the frontiers of model predictive control for interconnected systems

FACULTY

Assistant Professor

Paula Chanfreut Palacio

Full Professor
(Part-time)

Marco de Baar

Assistant Professor
(Part-time)

Dinesh Kallur

Researchers, PostDocs, PhD鈥檚 & EngD's

Chris Orrico

Doctoral Candidate

Erfan Shakhesi

Recent Publications

Our most recent peer reviewed publications

Contact

Postal address

P.O. Box 513

5600 MB Eindhoven

Netherlands
Teamlead

p.chanfreut.palacio@tue.nl
Secretary

cst@tue.nl

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