E3S Web Conf.
Volume 246, 2021Cold Climate HVAC & Energy 2021
|Number of page(s)||8|
|Section||Advanced HVAC Control|
|Published online||29 March 2021|
Model predictive control of heat pump based on a regression model fitted to data measured in accordance to EHPA regulation
1 Aalborg University, Department for Automation and Control, 9220 Aalborg Øst, Denmark
2 Danish Energy Agency, Centre for Global Cooperation, 1577 Copenhagen, Denmark
* Corresponding author: email@example.com
This paper presents a method for fitting a static regression model for the power consumption of a ground-sourced domestic heat pump, based on a low number of sample points extracted from a common measurement report developed in accordance to European Heat Pump Association (EHPA) regulation. Thereafter, we demonstrate how the coefficients can be updated with a Recursive Least Squares algorithm using only commonly accessible measurements. The regression model is designed to be used for control of a heat pump connected to an ON/OFF controlled floor heating system. The target of the method is especially systems where the flow in the floor heating circuits is unknown. The ability of the regression model to predict power consumption of the heat pump is evaluated using measurements obtained from a test-rig having the particular heat pump installed. The regression model is implemented as a module in a Mixed Integer Non-linear Model Predictive Control algorithm to illustrate the applicability of the model for control purposes. The promising results obtained from this investigation raise the question; should quality data be available in order to enable more advanced control of domestic heat pumps?
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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