2020
Gu, G.; Feng, T.
Heterogeneous choice of home renewable energy equipment conditioning on the choice of electric vehicles Journal Article
In: Renewable Energy, vol. 154, 2020, ISSN: 18790682.
Abstract | Links | BibTeX | Tags: Car sharing, E-bike, Mobility tool, Solar panel
@article{Gu2020,
title = {Heterogeneous choice of home renewable energy equipment conditioning on the choice of electric vehicles},
author = {G. Gu and T. Feng},
doi = {10.1016/j.renene.2020.03.007},
issn = {18790682},
year = {2020},
date = {2020-01-01},
journal = {Renewable Energy},
volume = {154},
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.},
keywords = {Car sharing, E-bike, Mobility tool, Solar panel},
pubstate = {published},
tppubtype = {article}
}
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.