An Application of the Analytic Hierarchy Process for Prioritizing User Preferences in the Design of a Home Energy Management System

Dane Christensen; Rahul Kadavil; Salvador Lurbe; Siddharth Suryanarayanan; Patricia Aloise-Young; Steven Isley

doi:10.1016/j.segan.2018.07.009

An Application of the Analytic Hierarchy Process for Prioritizing User Preferences in the Design of a Home Energy Management System

Dane Christensen, Rahul Kadavil, Salvador Lurbe, Siddharth Suryanarayanan, Patricia Aloise-Young, Steven Isley

Colorado State University

Research output: Contribution to journal › Article › peer-review

15 Scopus Citations

Abstract

Most demand response programs focus primarily on commercial and industrial loads. The sheer number of decision-influencing variables combined with a lack of a comprehensive understanding of human behavior make it difficult to develop response programs that encourage greater residential consumer participation. This paper presents a multi-criteria decision making approach using actual survey data for identifying user preferences. The novelty of the work is in considering functionality, cost, and carbon emissions for a given set of home appliances toward energy management. The paper explains the design methodologies used to prioritize the preferences from 1023 survey participants. The results are expected to inform the design of Home Energy Management Systems (HEMS) for participating in demand response programs.

Original language	American English
Pages (from-to)	196-206
Number of pages	11
Journal	Sustainable Energy, Grids and Networks
Volume	16
DOIs	https://doi.org/10.1016/j.segan.2018.07.009 https://doi.org/10.1016/j.segan.2018.07.009
State	Published - 2018

Bibliographical note

Publisher Copyright:
© 2018 Elsevier Ltd

NREL Publication Number

NREL/JA-5500-70888

Keywords

Analytic Hierarchy Process
Carbon footprint
Home Energy Management Systems
Multi-criteria decision making
Smart home
Survey

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Christensen, D., Kadavil, R., Lurbe, S., Suryanarayanan, S., Aloise-Young, P., & Isley, S. (2018). An Application of the Analytic Hierarchy Process for Prioritizing User Preferences in the Design of a Home Energy Management System. Sustainable Energy, Grids and Networks, 16, 196-206. https://doi.org/10.1016/j.segan.2018.07.009, https://doi.org/10.1016/j.segan.2018.07.009

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abstract = "Most demand response programs focus primarily on commercial and industrial loads. The sheer number of decision-influencing variables combined with a lack of a comprehensive understanding of human behavior make it difficult to develop response programs that encourage greater residential consumer participation. This paper presents a multi-criteria decision making approach using actual survey data for identifying user preferences. The novelty of the work is in considering functionality, cost, and carbon emissions for a given set of home appliances toward energy management. The paper explains the design methodologies used to prioritize the preferences from 1023 survey participants. The results are expected to inform the design of Home Energy Management Systems (HEMS) for participating in demand response programs.",

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Christensen, D, Kadavil, R, Lurbe, S, Suryanarayanan, S, Aloise-Young, P & Isley, S 2018, 'An Application of the Analytic Hierarchy Process for Prioritizing User Preferences in the Design of a Home Energy Management System', Sustainable Energy, Grids and Networks, vol. 16, pp. 196-206. https://doi.org/10.1016/j.segan.2018.07.009, https://doi.org/10.1016/j.segan.2018.07.009

TY - JOUR

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AU - Christensen, Dane

AU - Kadavil, Rahul

AU - Lurbe, Salvador

AU - Suryanarayanan, Siddharth

AU - Aloise-Young, Patricia

AU - Isley, Steven

PY - 2018

Y1 - 2018

N2 - Most demand response programs focus primarily on commercial and industrial loads. The sheer number of decision-influencing variables combined with a lack of a comprehensive understanding of human behavior make it difficult to develop response programs that encourage greater residential consumer participation. This paper presents a multi-criteria decision making approach using actual survey data for identifying user preferences. The novelty of the work is in considering functionality, cost, and carbon emissions for a given set of home appliances toward energy management. The paper explains the design methodologies used to prioritize the preferences from 1023 survey participants. The results are expected to inform the design of Home Energy Management Systems (HEMS) for participating in demand response programs.

AB - Most demand response programs focus primarily on commercial and industrial loads. The sheer number of decision-influencing variables combined with a lack of a comprehensive understanding of human behavior make it difficult to develop response programs that encourage greater residential consumer participation. This paper presents a multi-criteria decision making approach using actual survey data for identifying user preferences. The novelty of the work is in considering functionality, cost, and carbon emissions for a given set of home appliances toward energy management. The paper explains the design methodologies used to prioritize the preferences from 1023 survey participants. The results are expected to inform the design of Home Energy Management Systems (HEMS) for participating in demand response programs.

KW - Analytic Hierarchy Process

KW - Carbon footprint

KW - Home Energy Management Systems

KW - Multi-criteria decision making

KW - Smart home

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SN - 2352-4677

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EP - 206

JO - Sustainable Energy, Grids and Networks

JF - Sustainable Energy, Grids and Networks

ER -

An Application of the Analytic Hierarchy Process for Prioritizing User Preferences in the Design of a Home Energy Management System

Abstract

Bibliographical note

NREL Publication Number

Keywords

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