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

  • Xingji YuEmail author
  • Shi You
  • Hanmin Cai
  • Laurent Georges
  • Peder Bacher
Conference paper
  • 240 Downloads
Part of the Environmental Science and Engineering book series (ESE)

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 

Notes

Acknowledgements

The research is conducted in the PowerFlexHouse2 at Risø Campus of Technical University of Denmark, with support of PROAIN and EnergLab Nordhavn project.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Energy and Process EngineeringNorwegian University of Science and TechnologyTrondheimNorway
  2. 2.Department of Electrical EngineeringCentre for Electric Power and Energy, Technical University of DenmarkKgs. LyngbyDenmark
  3. 3.Department of Applied Mathematics and Computer ScienceTechnical University of DenmarkKgs. LyngbyDenmark

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