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都市ごみ焼却向け13のCO2回収・利用・再循環経路に関する時間分解・地域感応型気候評価のデータとコード

Data and code for a time-resolved and region-sensitive climate assessment of thirteen CO2 capture, utilization and recycling pathways for municipal waste incineration (原題)

Cheng, Tianjiao, Onoda, Hiroshi

Zenodoプレプリント2026-09-29#CCUSOrigin: JP経営インパクト: コスト削減対象セクター: power
DOI: 10.5281/zenodo.23038772
原典: https://zenodo.org/records/23038772

🤖 gxceed AI 要約

日本語

日本の代表的ごみ焼却施設(300t/日)を対象に、13の炭素管理経路を化石炭素収支で統一し、10電力地域別・時間分解・モンテカルロ分析で気候影響を評価した研究の完全なデータとコード。R1改訂版として捕捉境界の統一や地域層の再構築を行い、全数値・図表を単一スクリプトで再現可能にした。

English

Complete data and code for a time-resolved, region-sensitive climate assessment of 13 CO2 capture, utilization and recycling pathways for a modal Japanese municipal waste incinerator (300 t/d). Harmonizes pathways on a fossil-carbon balance across 10 Japanese grid regions with Monte Carlo analysis, enabling full reproducibility of all results and figures.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

廃棄物発電は日本のエネルギー・脱炭素政策で重要であり、地域別電力係数を用いた評価は自治体・事業者のCCUS導入判断や環境省・経産省の政策検討に資する。再現可能なデータ公開は国内GX研究の透明性向上に寄与。

In the global GX context

Provides open, reproducible evidence on waste-to-energy CCUS pathways with regional grid sensitivity, relevant to global decarbonization planning and disclosure of avoided emissions. Supports TCFD/ISSB-aligned assessment of hard-to-abate waste sector emissions.

👥 読者別の含意

🔬研究者:廃棄物発電CCUSの地域別・時間分解気候評価の再現可能な手法とデータセットを提供。

🏢実務担当者:ごみ焼却施設におけるCCUS経路の地域別気候影響を比較し、投資判断や環境報告に活用可能。

🏛政策担当者:廃棄物部門の脱炭素政策設計に、地域別電力係数を考慮したCCUS経路の評価根拠を提供。

📄 Abstract(原文)

Complete machine-readable data and calculation chain behind the manuscript "Time-resolved and region-sensitive climate assessment of thirteen CO2 capture, utilization and recycling pathways for municipal waste incineration". Thirteen carbon-management pathways for a modal Japanese municipal solid waste incinerator (300 t/d, 84,000 t/y) are harmonized onto one explicit fossil-carbon balance with cradle-to-grave-symmetric substitution credits, resolved across the ten Japanese electricity supply regions, extended with a CO2 impulse-response climate layer, and propagated through a shared-draw Monte Carlo analysis. This version corresponds to revision R1 of the manuscript and carries the frozen parameter ledger R1g, which harmonizes the capture boundary across the nine capture pathways, corrects three inventory items, rebuilds the regional layer from the facility-level national survey and declares the alternatives as discrete scenarios; the changes are listed in CHANGELOG.md and any number from version 1.0.x belongs to the original submission. The release contains the complete machine-readable datasets, 36 Python scripts and the full calculation chain: the 130 absolute pathway-region results and the 120 pairwise differences, the 50,000-row Monte Carlo master draw matrix and the draw-level outputs under both recycling boundary treatments, the 624 rank correlations, the pairwise rank correlations and win probabilities of every pathway pair, the interaction terms of the Shapley decomposition and its audit over all eight background combinations, the 2050 regional evaluation, the hydrogen supply scenarios, the inputs and scripts of the regional reconstruction, the scripts that render every figure of the paper, and a unified calculation workbook that recomputes the governing equation with live Excel formulas as an independent implementation. A single entry point, code/run_all.py, regenerates every number and table from the fixed seed 20260702 and the input files shipped with the release. The reproduction was verified in a clean directory: 85 of the 86 files reproduced or read back byte for byte, zero workbook cell or formula differences, and the regenerated figures byte-identical to those in the manuscript. Licensing: the Python code is released under the MIT licence and the data files and documentation under CC BY 4.0; see LICENSE and docs/DATA_AND_DOCUMENTATION_LICENSE.md. The national waste-characterization statistics and the utility-level grid emission factors reproduced in the input files are published by the Ministry of the Environment and the Ministry of Economy, Trade and Industry of Japan and remain subject to their own terms of use. Funded by the Japan Science and Technology Agency (JST) through the SICORP e-ASIA Joint Research Program (JPMJSC24E1) and by the Environment Research and Technology Development Fund (JPMEERF20253J01) of the Environmental Restoration and Conservation Agency (ERCA), Japan, funded by the Ministry of the Environment, Japan.

🔗 Provenance — このレコードを発見したソース

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