An aggregated and equivalent home model for power system studies with examples of building insulation and HVAC control improvements

Huangjie Gong, Evan S. Jones, Dan M. Ionel

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

4 Scopus citations

Abstract

Introducing new technologies into existing residences provides opportunities for the utility to enhance a community's power system performance. To validate the benefits of such technologies, an energy model is required in which their integration with a community's power system may be simulated. It can be difficult or impossible to properly model a power system without sufficient sample data. This paper proposes a method that uses Gaussian kernel density estimation (GKDE) to calculate the aggregated net power flow of a community's distribution system with only limited sample points at each time step. Example case studies that confirm the usefulness of the GKDE method are presented in which the power system benefits of improved insulation and heating, ventilation, and air conditioning (HVAC) system control are analyzed. This analysis was performed using an EnergyPlus (EP) house model that was created and calibrated based upon an individual house. This power representation of the individual house was determined by accurately estimating the aggregated net power flow of a community in Glasgow, KY with GKDE. Simulation results based on the equivalent house energy model show that improved insulation reduces the energy consumption and the peak power at the power system level. Simulation results also show that the HVAC control reduces the peak power for the entire community.

Original languageEnglish
Title of host publication2020 IEEE Power and Energy Society General Meeting, PESGM 2020
ISBN (Electronic)9781728155081
DOIs
StatePublished - Aug 2 2020
Event2020 IEEE Power and Energy Society General Meeting, PESGM 2020 - Montreal, Canada
Duration: Aug 2 2020Aug 6 2020

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2020-August
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Country/TerritoryCanada
CityMontreal
Period8/2/208/6/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • Aggregated Net Power Flow
  • Distribution Power System
  • EnergyPlus
  • Gaussian Kernel Density Estimation (GKDE)
  • HVAC Control
  • Home Energy Management (HEM)

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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