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

Yoshiki Yamagata, Daisuke Murakami

Research output: Contribution to journalConference articlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)3269-3274
Number of pages6
JournalEnergy Procedia
Volume105
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event8th International Conference on Applied Energy, ICAE 2016 - Beijing, China
Duration: 2016 Oct 82016 Oct 11

Keywords

  • disaster risk
  • Photovoltaic
  • resilience
  • surplus electricity
  • Tokyo metropolitan area

ASJC Scopus subject areas

  • Energy(all)

Fingerprint

Dive into the research topics of 'Spatially-explicit Resilience Modeling for PV Electricity Supply-demand Balance'. Together they form a unique fingerprint.

Cite this