Conference paper
Grey Box Modelling of Supermarket Refrigeration Room
Aiming to enable robust large-scale fault diagnostics and optimized control for supermarket refrigeration systems, a data-driven grey box model for cooling rooms and cabinets was developed. The analysis scopes a single cold room in a supermarket in Otterup (Denmark) and was done using oneminute of sampling data.
A resistance-capacitor diagram of the room was analyzed to derive three state-space equations for the model – the following were the states: the room temperature, the temperature of the goods and the refrigerant mass in the evaporator. The model parameters were then estimated using a Kalman filter and the maximum likelihood method.
In the present paper, the resulting model is demonstrated through a fivehour simulation and the importance of ongoing re-estimation of parameters is highlighted, as the dynamics of the room constantly change, as goods are added and removed. Furthermore, the physical meaning of the parameters is discussed and a case where the parameter estimates became physically meaningless is highlighted – suggesting that robustness was an issue and further studies with simpler models and other solver algorithms are necessary for large-scale implementation.
Language: | English |
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Publisher: | European Union |
Year: | 2022 |
Pages: | 1-6 |
Proceedings: | 2021 International Conference on Electrical, Computer and Energy Technologies |
ISBN: | 166544231X and 9781665442312 |
Types: | Conference paper |
DOI: | 10.1109/ICECET52533.2021.9698514 |
ORCIDs: | 0000-0002-1048-9503 and Bacher, Peder |