This model was developed to study the combination of electric vehicles (EVs) and intermitten renewable energy sources. The model presents an EV fleet in a fictional area, divided into a residential area, an office area and commercial area. The area has renewable energy sources: wind and PV solar panels. The agents can be encouraged to charge their electric vehicles at times of renewable energy surplus by introducing different policy interventions. Other interesting variables in the model are the installed renewable energy sources, EV fleet composition and available charging infrastructure. Where possible, use emperical data as input for our model. We expand upon previous models by incorporating environmental self-identity and range anxiety as agent variables.
Fixed a bug in which agents would sometimes still charge while driving.
Thanks to Lukáš Florner (University Hradec Králové) for pointing the bug out and propose a solution
|Version||Submitter||First published||Last modified||Status|
|1.1.2||Mart van der Kam||Tue Apr 14 09:14:10 2020||Tue Apr 14 09:14:10 2020||Published Peer Reviewed|
|1.1.1||Mart van der Kam||Mon Jun 24 09:26:18 2019||Mon Jun 24 09:26:18 2019||Published Peer Reviewed|
|1.1.0||Mart van der Kam||Wed May 8 09:40:57 2019||Wed May 8 09:40:57 2019||Published Peer Reviewed|