Yuhji Matsuo

Associate Professor

Ritsumeikan University

Japan

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About

Yuhji Matsuo is an Associate Professor at Ritsumeikan Asia Pacific University in Japan. His research focuses on carbon management strategies, including residual emissions, carbon capture and storage, and the economic analysis of nuclear power generation. Recent publications include studies on Japan's energy policy and the impacts of renewable energy on the power sector, contributing to the discourse on achieving net-zero emissions in Japan.

Articles (12)

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2024

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2024

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2021

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2020

Collaborators (4)

Hiroto Shiraki

Associate Professor

Nagoya University

JAPAN

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Yiyi JU

Assistant professor

Waseda University

JAPAN

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Diego SILVA HERRAN

National Institute for Environmental Studies

JAPAN

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Takashi Otsuki

Associate Professor

Yokohama National University

JAPAN

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Yuhji Matsuo

Research Interests

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About

Articles (12)

Residual emissions and carbon removal towards Japan’s net-zero goal: a multi-model analysis

Role of carbon dioxide capture and storage in energy systems for net-zero emissions in Japan

Re-Defining System LCOE: Costs and Values of Power Sources

Quantitative Analysis of Economic Value of Nuclear Power Generation Under High Penetration of Renewable Energy,再生可能エネルギー大量導入時の原子力発電の経済的価値に関する定量分析

EMF 35 JMIP study for Japan’s long-term climate and energy policy: scenario designs and key findings

Industrial decarbonization under Japan’s national mitigation scenarios: a multi-model analysis

Correction to: EMF 35 JMIP study for Japan’s long-term climate and energy policy: scenario designs and key findings

The role of renewables in the Japanese power sector: implications from the EMF35 JMIP

Correction to: The role of renewables in the Japanese power sector: implications from the EMF35 JMIP

System LCOE of variable renewable energies: a case study of Japan’s decarbonized power sector in 2050

Demand-side decarbonization and electrification: EMF 35 JMIP study

Forecasting Daily Electric Load by Applying Artificial Neural Network with Fourier Transformation and Principal Component Analysis Technique

Collaborators (4)

Hiroto Shiraki

Yiyi JU

Diego SILVA HERRAN

Takashi Otsuki

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