Transition to low-carbon economy: Assessing cumulative impacts of individual behavioral changes

Research output: Contribution to journalArticleAcademicpeer-review

12 Citations (Scopus)
56 Downloads (Pure)

Abstract

Changing residential energy demand can play an essential role in transitioning to a green economy. Environmental psychology suggests that behavioral changes regarding energy use are affected by knowledge, awareness, motivation and social learning. Data on various behavioral drivers of change can explain energy use at the individual level, but it provides little information about implications for macro energy demand on regional or national levels. We address this challenge by presenting a theoretically-based and empirically-driven agent-based model to track aggregated impacts of behavioral changes among heterogeneous households. We focus on the representation of the multi-step changes in individual energy use behavior and on a quantitative assessment of their aggregated impacts on the regional level. We understand the behavioral complexity of household energy use as a dynamic process unfolding in stages, and explore the barriers for utilizing the full potential of a region for emissions reduction. We suggest a policy mix that facilitates mutual learning among consumers.

Original languageEnglish
Pages (from-to)325–345
Number of pages21
JournalEnergy policy
Volume118
DOIs
Publication statusPublished - 1 Jul 2018

Fingerprint

energy use
Macros
Carbon
carbon
learning
residential energy
household energy
economy
energy demand

Keywords

  • UT-Hybrid-D
  • Residential energy
  • Behavioral change
  • Energy efficiency
  • Agent-based modeling (ABM)

Cite this

@article{c13a0442b1ef4356934f7d47d026ce57,
title = "Transition to low-carbon economy: Assessing cumulative impacts of individual behavioral changes",
abstract = "Changing residential energy demand can play an essential role in transitioning to a green economy. Environmental psychology suggests that behavioral changes regarding energy use are affected by knowledge, awareness, motivation and social learning. Data on various behavioral drivers of change can explain energy use at the individual level, but it provides little information about implications for macro energy demand on regional or national levels. We address this challenge by presenting a theoretically-based and empirically-driven agent-based model to track aggregated impacts of behavioral changes among heterogeneous households. We focus on the representation of the multi-step changes in individual energy use behavior and on a quantitative assessment of their aggregated impacts on the regional level. We understand the behavioral complexity of household energy use as a dynamic process unfolding in stages, and explore the barriers for utilizing the full potential of a region for emissions reduction. We suggest a policy mix that facilitates mutual learning among consumers.",
keywords = "UT-Hybrid-D, Residential energy, Behavioral change, Energy efficiency, Agent-based modeling (ABM)",
author = "Leila Niamir and Tatiana Filatova and Voinov, {Alexey Arkady} and Bressers, {Johannes T.A.}",
note = "Elsevier deal",
year = "2018",
month = "7",
day = "1",
doi = "10.1016/j.enpol.2018.03.045",
language = "English",
volume = "118",
pages = "325–345",
journal = "Energy policy",
issn = "0301-4215",
publisher = "Elsevier",

}

TY - JOUR

T1 - Transition to low-carbon economy

T2 - Assessing cumulative impacts of individual behavioral changes

AU - Niamir, Leila

AU - Filatova, Tatiana

AU - Voinov, Alexey Arkady

AU - Bressers, Johannes T.A.

N1 - Elsevier deal

PY - 2018/7/1

Y1 - 2018/7/1

N2 - Changing residential energy demand can play an essential role in transitioning to a green economy. Environmental psychology suggests that behavioral changes regarding energy use are affected by knowledge, awareness, motivation and social learning. Data on various behavioral drivers of change can explain energy use at the individual level, but it provides little information about implications for macro energy demand on regional or national levels. We address this challenge by presenting a theoretically-based and empirically-driven agent-based model to track aggregated impacts of behavioral changes among heterogeneous households. We focus on the representation of the multi-step changes in individual energy use behavior and on a quantitative assessment of their aggregated impacts on the regional level. We understand the behavioral complexity of household energy use as a dynamic process unfolding in stages, and explore the barriers for utilizing the full potential of a region for emissions reduction. We suggest a policy mix that facilitates mutual learning among consumers.

AB - Changing residential energy demand can play an essential role in transitioning to a green economy. Environmental psychology suggests that behavioral changes regarding energy use are affected by knowledge, awareness, motivation and social learning. Data on various behavioral drivers of change can explain energy use at the individual level, but it provides little information about implications for macro energy demand on regional or national levels. We address this challenge by presenting a theoretically-based and empirically-driven agent-based model to track aggregated impacts of behavioral changes among heterogeneous households. We focus on the representation of the multi-step changes in individual energy use behavior and on a quantitative assessment of their aggregated impacts on the regional level. We understand the behavioral complexity of household energy use as a dynamic process unfolding in stages, and explore the barriers for utilizing the full potential of a region for emissions reduction. We suggest a policy mix that facilitates mutual learning among consumers.

KW - UT-Hybrid-D

KW - Residential energy

KW - Behavioral change

KW - Energy efficiency

KW - Agent-based modeling (ABM)

UR - http://www.scopus.com/inward/record.url?scp=85045127758&partnerID=8YFLogxK

U2 - 10.1016/j.enpol.2018.03.045

DO - 10.1016/j.enpol.2018.03.045

M3 - Article

VL - 118

SP - 325

EP - 345

JO - Energy policy

JF - Energy policy

SN - 0301-4215

ER -