Intelligent control strategies for energy flexibility

Neil York Smith of TU Delft will discuss the increasing variations in both energy demand and energy supply in his presentation. Current developments require intelligent control strategies, supported by socio-technical algorithms. His research aims to help people make decisions in complex socio-technical situations. With agent-based modeling, constraint-based planning, machine learning, data analysis and social simulation, various techniques are combined to enable complex applications.

New technologies are changing the way the energy system works. As the energy system becomes more and more dependent on renewable energy sources and energy consumption is increasingly electric, the electricity system becomes more decentralized and interactive. Modeling can better control this complex situation.

If you are interested in agent-based modeling, this lecture may already be interesting. It is a computational model in which the effect of the action and interaction of separate components on the system as a whole is studied. Modeling is usually done using computer simulations and agents. In the model, the simultaneous work of different agents is simulated, with the aim of reconstructing and predicting complex phenomena. In this way, a switch is made from the micro level to the macro level.

The collaboration on The Green Village of TU Delft is cited by Joep van de Weijden. A sustainable future requires innovative ideas and new usable methods and techniques. At The Green Village, knowledge and educational institutions, businesses, governments and citizens research, experiment, validate and demonstrate their sustainable innovations. The Green Village is a low-regulation “open-air laboratory” with a focus on the built environment where testing can be carried out at district, street and building level.

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