Assessing the potential of residential HVAC systems for demand-side management

Thijs van der Klauw, Gerwin Hoogsteen, Marco Egbertus Theodorus Gerards, Johann L. Hurink, Xianyong Feng, Robert E. Hebner

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

9 Citations (Scopus)


This paper investigates the potential of residential heating, ventilation and air conditioning systems to contribute to dynamic demand-side management. Thermal models for seven houses in Austin, Texas are developed with the goal of using them in a planning based demand-side management methodology. The thermal models form the base to determine the flexibility present in these houses with respect to cooling requirements. The linear models are shown to be reasonably accurate when used to predict indoor temperature changes. Furthermore, the resulting prediction errors can be largely attributed to human behavior. The considered thermal models are integrated in a planning-based demand-side management methodology while accounting for such prediction errors. The resulting methodology is capable of flattening the load profile of the considered houses considerably.
Original languageUndefined
Title of host publicationIEEE Power & Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016
Place of PublicationUSA
PublisherIEEE Power & Energy Society
Number of pages5
ISBN (Print)978-1-5090-5167-0
Publication statusPublished - Sep 2016
Event2016 IEEE PES Innovative Smart Grid Technologies, ISGT 2016 - Radisson Blu Minneapolis , Minneapolis, United States
Duration: 6 Sep 20169 Sep 2016

Publication series

PublisherIEEE Power & Energy Society


Conference2016 IEEE PES Innovative Smart Grid Technologies, ISGT 2016
Abbreviated titleISGT
Country/TerritoryUnited States


  • EWI-27556
  • Residential Control
  • METIS-320930
  • Demand Side Management
  • HVAC systems
  • IR-103054

Cite this