Conference paper
Data-Driven Modelling and Optimal Control of Domestic Electric Water Heaters for Demand Response
Norwegian University of Science and Technology1
Department of Electrical Engineering, Technical University of Denmark2
Energy System Management, Center for Electric Power and Energy, Centers, Technical University of Denmark3
Department of Applied Mathematics and Computer Science, Technical University of Denmark4
Dynamical Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark5
Electric water heater (EWH) is widely used to provide reliable and long-lasting domestic hot water to occupants in residential buildings. EWH has been widely recognized as an important source of building energy flexibility, which could benefit both the building occupants and the power system operators through various demand response (DR) programs.
DR programs applied to EWHs are investigated in this paper. Optimal control strategies are developed to operate a portfolio of EWHs in order to reduce energy costs. A control-based model of EWH is developed using the data from field experiments and a statistical grey-box modelling approach (here using the CSTM-R package).
The results show that the aggregated EWHs can optimize their heating schedule in order to reduce the overall cost without compromising the comfort of occupants.
| Language: | English |
|---|---|
| Publisher: | Springer |
| Year: | 2020 |
| Pages: | 77-86 |
| Proceedings: | 11th International Symposium on Heating, Ventilation and Air Conditioning |
| Series: | Environmental Science and Engineering |
| Journal subtitle: | Buildings and Energy |
| ISBN: | 9811395276 , 9811395284 , 9789811395277 and 9789811395284 |
| ISSN: | 18635520 |
| Types: | Conference paper |
| DOI: | 10.1007/978-981-13-9528-4_9 |
| ORCIDs: | You, Shi , Cai, Hanmin and Bacher, Peder |
