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Virtual room temperature sensor



Georgios Darivianakis, Frauke Oldewurtel, Stefan Mischler, Joe Warrington

This project will be carried out in collaboration with Belimo Automation AG (Hinwil), the world leader in actuators for building climate control.

Intelligent building climate control is becoming increasingly important for ensuring energy efficiency as well as user comfort in built environments. The availability and clever use of sensor information as well as advanced control techniques to leverage this information play a key role in taking building climate control to the next level.

In order to control a room temperature in one or multiple rooms of a building, usually the water flow through a heat exchanger is modulated in such a way that the desired room temperature can be met. This typically requires a room temperature sensor that measures the current room temperature and submits a heating or cooling demand to the controller. Floor heating systems (or other panel heaters) are very often used, but they have a very large time constant due to the thermal mass of the floor. This can lead to time delays between the demand of a room and the floor heating performance.

If the hydraulic system could self-determine the room temperature this delay could be avoided. This would improve the control behavior and additionally the room temperature sensors would not be needed, bringing some economic benefit.

The goal of this project is to investigate whether it is feasible to measure, and ultimately control, the room temperature indirectly by measuring the water flow rate through the heat exchanger (floor heating) as well as the inlet and outlet water temperature, bearing in mind recent sensing and actuation advances such as Belimo’s Energy Valve. This is made challenging by the bilinearity of the relationship between energy flows, water flow rates, and temperatures. The use of additional parameters like design values or external information, e.g. online weather service can also be considered.

See project description by clicking on the link "Weitere Informationen" below.


Weitere Informationen

John Lygeros

Art der Arbeit: 50% theory, 50% simulation
Voraussetzungen: Knowledge of control, optimization, and system identification would all be beneficial.
Anzahl StudentInnen: 1
Status: taken
Projektstart: September 2017
Semester: Autumn 2017