Stochastic Disturbance Models

Christian Ankerstjerne Thilker: A Next Generation of Model-based Control

As we begin to realise the existential thread climate change pose to society and the pace with which it progresses, we urgently need to reduce the amount of green-house-gasses we emit. Many initiatives need be taken, and this PhD project (of course) studies only a small part of the solutions: optimal control.

 

It is often stated that buildings take up around 40% of the global energy consumptions. To supply this amount of energy from renewable energy sources is challenging due to the fluctuating nature of the electricity production (as wind is and sun are not always present). A part of the solution to this problem can be to make the buildings consume less energy when the production is low and more when the production is large. It is thus greatly believed that the introducing of smartness in buildings and residential districts in order to properly plan the electricity consumption can reduce the CO2 emissions significantly. A promising approach is to take advantage of the so-called energy flexibility in buildings where control happens on multiple levels. A central aim of this PhD-project is to investigate suitable control techniques and implement and demonstrate control for actual smart buildings.

 

A fundamental part of predictive control is knowledge of the future - and for smart energy systems, the disturbances have special importance. In the context of a smart building we need to know the future weather; e.g. how much sun is present and how warm/cold is it. This PhD project will explore opportunities and benefits of modelling and including advanced disturbance models in a variety of control methods compared to more conventional methods.

 

Around a third of the PhD-study is devoted to the EU-project, Syn.ikia, see (https://synikia.eu). This project will build and demonstrate plus-energy neighbourhoods where DTU will deliver smart building models and sophisticated control algorithms.

PhD project by Christian Ankerstjerne Thilker

By: Christian Ankerstjerne Thilker

Section: Dynamical Systems

Principal supervisor: Henrik Madsen

Co-supervisor: John Bagterp Jørgensen

Project title: Stochastic Disturbance Models: A Next Generation of Model-based Control

Term: 01/06/2020 → 31/05/2023

Contact

Contact

Henrik Madsen
Professor, Head of section
DTU Compute
+45 45 25 34 08

Contact

John Bagterp Jørgensen
Professor
DTU Compute
+45 45 25 30 88