Demand Response Analysis for Different Residential Personas in a Comfort-Driven Behavioral Context

Opeoluwa Olawale, Benjamin Gilbert, Janet Reyna

Research output: Contribution to conferencePaperpeer-review

Abstract

Low demand response (DR) participation and high program drop-out rates continue to impede DR goals that could save up to $13 billion in annual grid expansion and electricity demand costs. Yet, the literature lacks a thorough understanding of how different residential customer segments enrolled in DR programs respond to utility signals in view of occupant comfort considerations. The objective of this study is to gain a clear understanding of the effects of four different customer personas on residential DR. Given current data limitations, this work developed an array of hypothetical personas with varied priorities, activity levels, and comfort thresholds based on demographic variables that have been found in previous studies to influence energy consumption. A BEopt™ DR model for a reference residential single-family building located in Colorado was built to isolate the effect of differences in buildings or climate. The results provide useful evidence on how persona-comfort differences lead to significant deviations in DR goals (especially peak demand reduction), ranging from 0.1% to 20%. This work presents a novel framework representing comfort preferences in DR models. The data generated, albeit synthetic, and the results could inform DR program design considerations of how different people respond to different comfort priorities.

Original languageAmerican English
Number of pages10
DOIs
StatePublished - 2021
EventASME 2021 International Mechanical Engineering Congress and Exposition, IMECE 2021 - Virtual, Online
Duration: 1 Nov 20215 Nov 2021

Conference

ConferenceASME 2021 International Mechanical Engineering Congress and Exposition, IMECE 2021
CityVirtual, Online
Period1/11/215/11/21

Bibliographical note

Publisher Copyright:
Copyright © 2021 by ASME and The United States Government

NREL Publication Number

  • NREL/CP-5500-80313

Keywords

  • Advanced energy systems
  • BEopt
  • Comfort
  • COVID-19
  • Demand response (DR)
  • Digital human modeling
  • Modeling and simulation
  • Peak demand
  • Personas

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