Real-time intelligent transport information system in a local village with EV and PV: Proposal

To avoid the risk of global warming, the world should reduce CO₂ missions dramatically by the middle of this century. To build low-carbon society, people's behavior toward car usage will have to differ from the current state, because 19.5 % of CO₂ emission in Japan is caused by transportation. Moreover, mobility of private car emits 50.6 % of the amounts. To change people's behavior, information would have an important role. Especially, to tell how to utilize Electric Vehicles (EVs) and Photovoltaics (PVs) for charging could contribute the reduction. Because, EVs has been diffused rapidly, however if EVs charge their electricity from the normal gird in the case of that is generated by fossil fuel, it means that CO₂ emissions would be gained indirectly. From the reason, we focus on enhancing to use electricity generated by PVs for charging EVs by providing information via a web page. We implemented the electricity data metering system and electricity information visualizing system in one household about for 1 year. The metering data system is measuring real-time electricity data by using smart meters every 5 seconds, the web-based visualizing system is providing information, how much electricity used for EV charging generated by PV at real-time. The user can choose their next behavior by the system. To evaluate how information can contribute the behavior change if two systems implemented in the whole local village for building low carbon city, we proposes ITS and electricity information platform in this paper.