Analysis of Hydrogen Storage for Seasonal Leveling of Renewable Energy Generation in Scenarios of Japan’s Generation Mix

The power sector is being decarbonized to achieve carbon neutrality in 2050, and the Group of Seven (G7) has decided to phase out coal-fired power generation by 2035. In this study, we set up coal phase-out scenarios for 2030, 2040, and 2050 and conducted a simulation analysis by unit commitment with an expanded introduction of renewable energy. In this study, we estimate the optimal capacity of hydrogen storage system (HSS) for various future supply scenarios in Japan through an inter-seasonal energy supply-demand leveling simulation. The proposed method is a time series simulation of unit commitment (UC) and inter-seasonal hydropower storage systems using mixed integer linear programming (MILP). As a result, the HSS significantly contributed to reducing the amount of Variable Renewable Energy (VRE) output suppression and effectively utilizing VRE in all future scenarios.

Authors

Institutions

Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/isgteurope62998.2024.10863009
Citations
1
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Hydrogen Storage for Seasonal Leveling of Renewable Energy Generation in Scenarios of Japan’s Generation Mix

Nobuyuki Yamaguchi, Y. Oishi, Yusuke Manabe, Shoki Okawara et al.
1 citations
Integrated Energy Systems Optimization
0.21
article

Analysis of Hydrogen Storage for Seasonal Leveling of Renewable Energy Generation in Scenarios of Japan’s Generation Mix

Nobuyuki Yamaguchi, Y. Oishi, Yusuke Manabe, Shoki Okawara, Takuto Komuro
article en
1 citations

Abstract

The power sector is being decarbonized to achieve carbon neutrality in 2050, and the Group of Seven (G7) has decided to phase out coal-fired power generation by 2035. In this study, we set up coal phase-out scenarios for 2030, 2040, and 2050 and conducted a simulation analysis by unit commitment with an expanded introduction of renewable energy. In this study, we estimate the optimal capacity of hydrogen storage system (HSS) for various future supply scenarios in Japan through an inter-seasonal energy supply-demand leveling simulation. The proposed method is a time series simulation of unit commitment (UC) and inter-seasonal hydropower storage systems using mixed integer linear programming (MILP). As a result, the HSS significantly contributed to reducing the amount of Variable Renewable Energy (VRE) output suppression and effectively utilizing VRE in all future scenarios.

Tokyo University of Science (JP)
Affordable and clean energy
Openalex Percentile: Top 44%
Integrated Energy Systems Optimization
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.