Demand Response of HVACs in Large Residential Communities Based on Experimental Developments

Huangjie Gong, Evan S. Jones, Rosemary E. Alden, Andrew G. Frye, Donald Colliver, Dan M. Ionel

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

11 Scopus citations

Abstract

Heating, ventilation, and air-conditioning (HVAC) systems contribute the largest electricity usage for a residential community. Modeling of the HVAC systems facilitate the study of demand response (DR) at both the residential and the power system level. In this paper, the equivalent thermal model of a reference house was proposed. Parameters for the reference house were determined based on the systematic study of experimental data obtained from fully instrumented field demonstrators. The aggregated HVAC load was modeled based on the reference house while considering a realistic distribution of HVAC parameters derived from data that was provided by one of the largest smart grid field demonstrators in rural America. A sequential DR as part of a Virtual Power Plant (VPP) control was proposed to reduce both ramping rate and peak power at the aggregated level, while maintaining human comfort according to ASHRAE standard.

Original languageEnglish
Title of host publicationECCE 2020 - IEEE Energy Conversion Congress and Exposition
Pages4545-4548
Number of pages4
ISBN (Electronic)9781728158266
DOIs
StatePublished - Oct 11 2020
Event12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, United States
Duration: Oct 11 2020Oct 15 2020

Publication series

NameECCE 2020 - IEEE Energy Conversion Congress and Exposition

Conference

Conference12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
Country/TerritoryUnited States
CityVirtual, Detroit
Period10/11/2010/15/20

Bibliographical note

Funding Information:
II. EXPERIMENTAL RESULTS AND DERIVATION OF HOUSE THERMAL MODEL PARAMETERS Beginning in 2008, TVA funded and managed a robotic house project with technical support from the Oak Ridge National Laboratory (ORNL). Robotic houses were constructed in a suburb of Knox County, TN in which the habitation of a family was physically simulated (Fig. 1). This project developed an analytical base for the energy optimization and new technology implementation at individual house level. A different initiative, the Smart Energy Technologies (SET) project based in Glasgow, KY, provided a testbed for the optimization of power flow at the community level.

Publisher Copyright:
© 2020 IEEE.

Keywords

  • Aggregated
  • Demand Response (DR)
  • Heating
  • Home Energy Management (HEM)
  • Smart Grids
  • Smart Home
  • Thermal Model
  • Virtual Power Plant (VPP)
  • and air-conditioning (HVAC)
  • ventilation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Energy Engineering and Power Technology

Fingerprint

Dive into the research topics of 'Demand Response of HVACs in Large Residential Communities Based on Experimental Developments'. Together they form a unique fingerprint.

Cite this