Text Computational Optimisation for Smart Energy Systems Eric Pauwels, CWI, Amsterdam EIT Digital funded collaboration between CWI, TU Berlin, TU Delft.

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Presentation transcript:

Text Computational Optimisation for Smart Energy Systems Eric Pauwels, CWI, Amsterdam EIT Digital funded collaboration between CWI, TU Berlin, TU Delft

2 Energy transition More renewables in the energy mix Solar and wind are intermittent sources More decentralized energy generation From consumers to prosumers Many stakeholders Industry, politicians, citizens Collaboration and competition Result: Increased uncertainty

Dealing with increased uncertainty CWI: Centrum Wiskunde & Informatica Dutch national Research Centre for Mathematics and ICT Fundamental research focusing on problems of societal importance Strategies to deal with increased uncertainty Big data analytics and visualisation, (e.g. sensors, smart meters) Innovative market mechanisms (e.g. stabilisation thru dynamic pricing) Uncertainty quantification and prediction Simulation of complex systems

Collecting, analysing and visualising data Sensor networks Smart meters Databases for big data Data analytics and machine learning

Simulation-based exploration: what if…? What are new markets and market-mechanisms? What is the likely impact of technological or societal developments? Distributed storage, EV’s, … Sharing economy? Autonomous vehicles?

Simulation-based exploration: what if…? New markets for smart grids (in collaboration with EIT Digital)

Advanced mathematical models for uncertainty reduction Risk quantification: Accurate estimation of rare event probabilities

Advanced mathematical models for uncertainty reduction Smart approximations to improve computational tractability

Advanced mathematical models for multi-scale simulations Electric discharge in plasmas: e.g. DC networks

High Performance Computing to enable technological breakthroughs Controlling instabilities in nuclear fusion reactors Predicted output for Deuterium fusion Current production and consumption

Partnerships with EIT Digital and many others…

In conclusion Focus on generic and fundamental problems Directly relevant for society Wide-ranging applicability Market mechanisms, Optimisation in smart grids and smart cities Innovative technologies Collaboration with EIT Digital to explore business cases Interest in collaboration with partners and stakeholders

eitdigital.eu