Optimal control of district heating networks using a reduced order model

Microwave Heating of Foods: Model Predictive Control Using Reduced Order Models

A reduced order model based on a two-time scale separation of the solution of a PDE is developed for the heating of food products with microwaves. This approach is employed on a Model Predictive Control framework to achieve uniformity of different quality parameters. Due to the fact that predictive control requires measurements which are not always possible to obtain, observers were constructed...

Optimal Control of Multiscale Systems Using Reduced-order Models

We study optimal control of diffusions with slow and fast variables and address a question raised by practitioners: is it possible to first eliminate the fast variables before solving the optimal control problem and then use the optimal control computed from the reduced-order model to control the original, high-dimensional system? The strategy “first reduce, then optimize”—rather than “first op...

Dynamic Model and Control of Heat Exchanger Networks for District Heating

Digital Optimal Reduced-order Control of a Solar Power Plant

So far, researchers have developed simplified models to control the so called Acurex field, which is a solar power plant situated in Tabernas in Spain, used mainly for research purposes. Most of these simplified models for control have been used in simulation. Some have also been used in control experiments. Usually an advanced model of the plant was used to identify and verify the simplified m...

Numerical modelling of district heating networks