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Research and Accuracy Analysis on Engineering Quantity Calculation of a Projected Building by BIM Software Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Data-Driven Modelling and Optimal Control of Domestic Electric Water Heaters for Demand Response

Authors : Xingji Yu, Shi You, Hanmin Cai, Laurent Georges, Peder Bacher

Published in: Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning (ISHVAC 2019)

Publisher: Springer Singapore

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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.

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Metadata
Title
Data-Driven Modelling and Optimal Control of Domestic Electric Water Heaters for Demand Response
Authors
Xingji Yu
Shi You
Hanmin Cai
Laurent Georges
Peder Bacher
Copyright Year
2020
Publisher
Springer Singapore
Book
Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning (ISHVAC 2019)

Print ISBN: 978-981-13-9527-7

Electronic ISBN: 978-981-13-9528-4

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-13-9528-4_9