Computational Model Library

Peer reviewed Charging behaviour of electric vehicle drivers

Mart van der Kam Annemijn Peters Wilfried van Sark Floor Alkemade | Published Wed May 8 09:40:57 2019 | Last modified Mon Jun 24 09:26:18 2019

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.

Feedback Loop Example: Wildland Fire Spread

James Millington | Published Fri Dec 21 12:26:52 2012 | Last modified Sat Apr 27 20:18:32 2013

This model is a replication of that described by Peterson (2002) and illustrates the ‘spread’ feedback loop type described in Millington (2013).

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