Paper Conference

Proceedings of uSim Conference 2020: 2nd uSim Conference of IBPSA-Scotland

     

Study on the effect of electric vehicle in smart community energy management

Monica Gondokusuma, Yuki Kitagawa, Ayumu Sawamura, Yoshiyuki Shimoda

Abstract: With the increased interest in the sustainability of Japanese cities, there has been an increase in the development of smart communities; a residential district or community that has committed itself to environmental and energy initiatives. Most smart communities have succeeded in achieving a zero-energy community, and some have achieved this aim by adopting energy-saving measures and utilizing photovoltaic solar panels (PVs). However, based on electricity load curves, there is a large amount of surplus energy production because most of the energy that is produced by PVs cannot be utilized immediately due to the low demand in residential areas during the daytime. This surplus power is bought by electric companies, which results in high reverse power flow. Further, the recent increase in the use of electric vehicles (EVs) has meant that charging these vehicles has placed high loads on the community electricity grid at night. However, the EV’s battery can also be used as power sources for buildings. This study examined whether the use of EVs in residential areas can be applied to solve the PV energy-production surplus problem using a case study on a smart community in Osaka. A simulation model of both residential energy and EV charging was developed. Each household member behavior was modelled based on its characteristics, and in conjunction with weather, appliance utilization, and house characteristics, the household member behavior was then used to estimate residential energy consumption. Using the same behavior data, an EV charging model was developed and various EV usage and charging scenarios were estimated. A case study that simulates a real smart community was then performed to study different power generation and consumption scenarios. The findings showed that resident behavior is related to the EV usage, where the EV usage and EV charging patterns are strongly related to the community energy consumption and selfconsumption rate.
Pages: 15 - 22
Paper:
usim2020_A1_3_Gondokusuma