Predict the EV-future with Sparkcity


In which neighbourhoods does EV-adoption lead to parking problems on a large scale? Or where and when will a grid reinforcement be needed? In a NKL project EVConsult, together with TU Eindhoven, is developing an extensive simulation model to answer these questions. The first version of this ‘ABCD model’ is called Sparkcity and has recently been presented by designer Peter Hogeveen at the symposium on Applied Research on Charging Infrastructure.

How does Sparkcity work?

In a nutshell? Based on local data and expected EV developments, Sparkcity simulates the buying, driving and loading behaviour of EV owners in a neighbourhood or city. This allows users to do their own studies on a variety of EV-related dynamics, among which:

  • Adoption scenarios and the effect of policy measures;
  • Supply and demand of charging infrastructure;
  • Impact on the electricity grid;
  • The value of smart charging and V2G;
  • Pressure on public space and parking places;
  • Consequences of mobility changes, such as self-driving and share-EVs.

Municipalities use Sparkcity

The Sparkcity model is especially unique because it can load real neighbourhoods and cities (via shape files), including the local electricity grid and the existing charging network. The characteristics of a loaded neighbourhood are just as realistic as the available data and local knowledge. For example, municipalities or grid operators can use the model to study every desired neighbourhood.

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