@inproceedings{a7e9a2d7af684c99bb42c701ef2fafec,
title = "Data-Driven Modelling and Optimal Control of Domestic Electric Water Heaters for Demand Response",
abstract = "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.",
keywords = "Aggregation, Electric water heater, Experiment, Flexibility, Optimization",
author = "Xingji Yu and Shi You and Hanmin Cai and Laurent Georges and Peder Bacher",
year = "2020",
month = jan,
day = "1",
doi = "10.1007/978-981-13-9528-4_9",
language = "English",
isbn = "9789811395277",
volume = "3",
series = "Environmental Science and Engineering",
publisher = "Springer",
pages = "77--86",
editor = "Zhaojun Wang and Fang Wang and Peng Wang and Chao Shen and Jing Liu and Yingxin Zhu",
booktitle = "Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning",
note = "11th International Symposium on Heating, Ventilation and Air Conditioning, ISHVAC 2019 ; Conference date: 12-07-2019 Through 15-07-2019",
}