Integrated modelling for a future smart city: Toward efficient CO2 Management of EV transport using PV systems

Yoshiki Yamagata, Hajime Seya

Research output: Contribution to conferencePaperpeer-review

10 Citations (Scopus)


Designing a future smart city (FSC) that copes with the reduction of CO2 has become one of the urgent tasks in the next 20 years. One promising approach to achieve FSC is to combine appropriate land use (location of photovoltaic panels (PVs)), transportation (large scale use of electric vehicles (EVs)) and energy system (smart grid systems), because these urban elements interact with each other. However, there are few models which simulate these elements in an integrated manner. This paper presents two research results which achieve this integration. The first uses a long-term perspective to simulate the effects of urban form on electricity demand using a newly developed land use model. The model simulates electricity demand under possible future compact/dispersion city scenarios in 2050 for the Tokyo metropolitan area. The second, real time model, simulates the effects of large-scale introduction of EVs and PVs on hourly regional electric demand/supply for Yokohama city, Japan, using an agent based transport simulator called MATSim. The results suggest that the hourly electricity surplus from PVs can be fully stored without waste if 22% of the EVs are used as battery storage when all of the current cars are replaced by EVs. Regional electricity demand structure will change if EVs are diffused on a large scale, but it depends on the timing of EV-charging.

Original languageEnglish
Publication statusPublished - 2012
Externally publishedYes
Event19th Intelligent Transport Systems World Congress, ITS 2012 - Vienna, Austria
Duration: 2012 Oct 222012 Oct 26


Other19th Intelligent Transport Systems World Congress, ITS 2012


  • EV
  • Integrated model
  • PV
  • Smart city
  • Urban scenarios

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Transportation


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