Simulation Analysis of Electricity Demand and Supply in Japanese Communities Focusing on Solar PV, Battery Storage, and Electricity Trading

Mika Goto (), Hiroshi Kitamura, Daishi Sagawa, Taichi Obara and Kenji Tanaka
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Mika Goto: School of Environment and Society, Tokyo Institute of Technology, Tokyo 108-0023, Japan
Hiroshi Kitamura: NEC Corporation, Tokyo 108-8001, Japan
Daishi Sagawa: School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
Taichi Obara: School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
Kenji Tanaka: School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan

Energies, 2023, vol. 16, issue 13, 1-24

Abstract: This study analyzes how the electricity demand and supply constitutions affect electricity independence and power trading within a community and between a community and a grid through simulation analysis. To that aim, we create a simulation model equipped with a community-building function and trading capability. We first construct a community consisting of various types of residential and industrial consumers, and renewable power plants deployed in the community. Residential and industrial consumers are characterized by a state of family/business and ownership and the use of energy equipment such as rooftop solar PV and stationary battery storage in their homes/offices. Consumers’ electricity demand is estimated from regression analyses using training data. Using the hypothetical community constructed for the analysis, the simulation model performs rule-based electricity trading and provides outputs comprising the total electricity demand in the community, the state of use of battery storage and solar PV, the trading volume, and the electricity independence rate of the community. From the simulation results, we discuss policy implications on the effective use of renewable energy and increasing electricity independence by fully utilizing battery and trading functions in a community.

Keywords: simulation; community; renewable energy; energy trading; battery (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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