Heterogeneous choice of home renewable energy equipment conditioning on the choice of electric vehicles

Gaofeng Gu, Tao Feng (Corresponding author)

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

New mobility tools like electric vehicle and e-bike have been an important strategy in many cities for the reduction of traffic problems and the implementation of renewable energy infrastructures. The choice of individuals on mobility tools however may depend on the magnitude of a comparable cost. Home renewable energy equipment like solar panel which generates energy at home may potentially reduce the electricity expenditure of e-mobility. This paper therefore aims to investigate the choice behavior of individuals on their home renewable energy equipment conditioning on the choice of mobility tools. More specifically, we identify the differences among individuals in their preferences and the latent groups. Using the stated preference data collected in the city of Weiz, Austria, we estimated a latent class choice model with social demographics representing the user group membership. Results show that the synergy effect between EV and solar panels and self-sufficient home energy system is more attractive to people with low income although their willingness to buy are lower than people with high income.

Original languageEnglish
Pages (from-to)394-403
Number of pages10
JournalRenewable Energy
Volume154
DOIs
Publication statusPublished - Jul 2020

Keywords

  • Car sharing
  • e-bike
  • Mobility tool
  • Solar panel

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