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解像度・地域感応型気候評価のデータとコード

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

🔬研究者:地域別・時間解像度の炭素収支とモンテカルロ・シャープレー分解の再現可能な枠組みを再利用できる。

🏢実務担当者:焼却施設のCCUS/再循環経路選定や地域電力係数を踏まえた脱炭素投資評価に活用できる。

🏛政策担当者:廃棄物由来CO2の回収・利用の気候便益をどう計測・比較するかの政策設計に示唆を与える。

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 R2 of the manuscript. It adds an analysis of the time dimension (the background path between the 2025 and 2050 states, a path-free sweep of the grid factor and the waste carbon, and the ranking at every annual assessment endpoint from 2026 to 2125) and leaves the model and every result of version 1.1.0 unchanged. Version 1.1.0 corresponds to revision R1 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, 37 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 background path, grid-waste sweep and annual-endpoint ranking of the time-dimension analysis, 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: 90 of the 91 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.

• Zenodo https://zenodo.org/records/23692177first seen 2026-10-28 04:14:31