Spatially-explicit Resilience Modeling for PV Electricity Supply-demand Balance

Yoshiki Yamagata, Daisuke Murakami

研究成果: Conference article査読


We analyse the potential of PV (Photovoltaic) in terms of electricity resiliency by developing a spatially-explicit model for the PV supply and household demand balance. The model estimation is conducted using hourly solar irradiance data for a whole year for the Tokyo metropolitan area. We have tested the resiliency of the bland against several scenarios of climate uncertainties. Our analysis shows that, although PV supply for the whole Tokyo is smaller than household electricity demand, high level of electricity surplus exists in the western central area where the disaster risk is relatively low, while, few electricity surplus remains in the eastern high disaster risk areas. These results suggest that if we are to create community- based regional resilient electricity sharing grid system ([1]) in the future, we need to create additionally a city scale multi-layer electricity sharing system for adjusting the dynamics demand-supply discrepancies by transferring PV surplus electricity to the high risk areas.

ジャーナルEnergy Procedia
出版ステータスPublished - 2017
イベント8th International Conference on Applied Energy, ICAE 2016 - Beijing, China
継続期間: 2016 10 82016 10 11

ASJC Scopus subject areas

  • エネルギー(全般)


「Spatially-explicit Resilience Modeling for PV Electricity Supply-demand Balance」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。