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Personality traits and energy conservation

  • Meng Shen
  • , Qingbin Cui*
  • , Liping Fu
  • *Corresponding author for this work
  • University of Maryland, College Park
  • Tianjin University

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

Abstract

As a cost-effective solution to energy conservation, behavior based method focuses on changing people's behavior through normative feedback for energy efficiency. While the application of behavior-based method is promising, the challenge exists to achieve efficiently sustainable behavioral change. Based on multi-period observation of energy behavior at the Joint Base Andrews in Maryland, this paper presents a model-based approach aimed to improve the nationally popular and deep-seated benchmark setting strategy for normative feedback used in home energy reports. The improved approach has its merits of countering the undesirable boomerang effect and enhancing the effectiveness of normative feedback targeting different personalities. By introducing a modified opinion dynamics model, this paper simulates the process of energy behavior change and therefore identifies the driver and elementary rules of behavioral change. In particular, the paper defines various behavioral zones in accordance with people's personality and proposes a new customized energy reporting mechanism that maps normative benchmark to personality trait. The new energy reporting policy has strong industrial implication for promoting behavior-based method towards a sustained energy conservation movement.

Original languageEnglish
Pages (from-to)322-334
Number of pages13
JournalEnergy Policy
Volume85
DOIs
Publication statusPublished - 1 Oct 2015
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Energy behavior
  • Energy conservation
  • Energy efficiency
  • Normative feedback
  • Opinion dynamics model
  • Personality trait

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