| 研究課題/領域番号 |
22K18070
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| 研究種目 |
若手研究
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| 配分区分 | 基金 |
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| 審査区分 |
小区分64060:環境政策および環境配慮型社会関連
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| 研究機関 | 早稲田大学 |
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研究代表者 |
居 乂義 早稲田大学, 高等研究所, 講師(任期付) (30870935)
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| 研究期間 (年度) |
2022-04-01 – 2025-03-31
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| 研究課題ステータス |
交付 (2022年度)
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| 配分額 *注記 |
2,600千円 (直接経費: 2,000千円、間接経費: 600千円)
2024年度: 520千円 (直接経費: 400千円、間接経費: 120千円)
2023年度: 1,040千円 (直接経費: 800千円、間接経費: 240千円)
2022年度: 1,040千円 (直接経費: 800千円、間接経費: 240千円)
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| キーワード | industry / energy system model / carbon neutrality / model soft-linking / 産業脱炭素 / カーボンニュートラル / 統合評価モデル |
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| 研究開始時の研究の概要 |
In this project, the optimal technology combination of the cement industry will be investigated in order to reveal the long-term mitigation pathways toward carbon neutrality by 2050. It contributes to a better understanding of industrial decarbonization and long-term climate policies.
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| 研究実績の概要 |
In the 1st year, we mainly worked on the reviews of energy end-use technologies (WP1) and addressed the biggest challenge regarding the research methodology (soft-linking of two model frames, WP3) of this project. We published 1 paper and had 1 paper accepted. We also presented at 2 international academic conferences.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
In the first year, as planned, a review work on energy end-use technologies has been conducted (working package 1). Thorough review work would lay a strong foundation for the project by ensuring that the research output would contain the current state of knowledge and potential gaps to address.
In a reversed way, we addressed the biggest challenge regarding the research methodology (soft-linking of two model frames, input-output analysis frame and energy system modeling frame, working package 3) first. We published 1 paper and had 1 paper accepted utilizing such soft-linking methodology. This sets the stage for effective integration in subsequent stages of the project.
Therefore, in the first year, the project is processing rather smoothly.
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| 今後の研究の推進方策 |
In the next steps, we would go back to working packages 1 and 2, namely mapping cement production technologies and conducting the optimization of the technology combination.
Based on the review, the parameter sets should be established. The optimization of the production technology combination will be conducted by the Input-Output-Linear-Programming approach. With the least system cost, the solutions under baseline year scenarios subject to specific climate goals (specifically in this project, achieving carbon neutrality in Japan by 2050) will follow the scenario design.
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