Conference paper
Grey-box Modeling for System Identification of Household Refrigerators: a Step Toward Smart Appliances
Department of Electrical Engineering, Technical University of Denmark1
Center for Electric Power and Energy, Centers, Technical University of Denmark2
Department of Applied Mathematics and Computer Science, Technical University of Denmark3
Dynamical Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark4
This paper presents the grey-box modeling of a vapor-compression refrigeration system for residential applications based on maximum likelihood estimation of parameters in stochastic differential equations. Models obtained are useful in the view of controlling refrigerators as flexible consumption units, which operation can be shifted within temperature and operational constraints.
Even if the refrigerators are not intended to be used as smart loads, validated models are useful in predicting units consumption. This information can increase the optimality of the management of other flexible units, such as heat pumps for space heating, in order to smooth the load factor during peak hours, enhance reliability and efficiency in power networks and reduce operational costs.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2013 |
| Pages: | 1-5 |
| Proceedings: | 4th International Youth Conference on Energy 2013 |
| ISBN: | 1467355550 , 1467355569 , 9781467355551 and 9781467355568 |
| Types: | Conference paper |
| DOI: | 10.1109/IYCE.2013.6604197 |
| ORCIDs: | Costanzo, Giuseppe Tommaso , Marinelli, Mattia , Bacher, Peder and Madsen, Henrik |
Heating differential equations flexible consumption units grey systems grey-box modeling heat pumps household refrigerators load factor maximum likelihood estimation operational constraints operational costs peak hours power networks power system parameter estimation power system simulation refrigerators residential applications smart appliances smart loads space heating stochastic differential equations stochastic processes system identification temperature constraints units consumption vapor-compression refrigeration system
