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会計慣行が、廃棄物焼却施設が地質学的CO2貯留を巡って競合するかどうかを決定する（データとコード）

Data and code for: Accounting convention, not capture technology, decides whether waste incinerators compete for geological CO2 storage (原題)

Cheng, Tianjiao, Onoda, Hiroshi

Zenodoプレプリント2026-09-04#炭素会計Origin: JP対象セクター: waste_management
DOI: 10.5281/zenodo.22304012
原典: https://zenodo.org/records/22304012

🤖 gxceed AI 要約

日本語

日本の全874の都市ごみ焼却施設を対象に、バイオジェニック中立とバイオジェニック除去の会計慣行の下で、地質学的CO2貯留が生み出す削減量を比較。会計慣行が貯留の競争力を左右することを実証し、政策含意を示す。完全な再現可能なデータとコードを提供。

English

Applying a per-plant carbon balance to all 874 Japanese municipal waste incinerators, this study shows that accounting conventions (biogenic-neutral vs. biogenic-removal) determine whether geological CO2 storage yields creditable abatement. It provides fully reproducible data and code, with policy implications for CCS accounting.

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

日本では廃棄物発電とCCSの組み合わせが注目されるが、会計ルール次第で排出削減効果が変わる。SSBJやカーボンクレジット制度設計に示唆を与える。

In the global GX context

This paper offers empirical evidence on how carbon accounting conventions affect CCS deployment, relevant to global debates on biogenic emissions and negative emissions accounting under the Paris Agreement and voluntary carbon markets.

👥 読者別の含意

🔬研究者:Provides a rigorous, plant-level dataset and method for assessing CCS accounting impacts on waste-to-energy systems.

🏢実務担当者:Highlights how accounting choices can affect the viability of CCS projects in the waste sector, informing investment decisions.

🏛政策担当者:Demonstrates the need for clear accounting rules to incentivize CCS in waste incineration, relevant for national climate strategies.

📄 Abstract（原文）

Complete machine-readable data and calculation chain behind the manuscript "Accounting convention, not capture technology, decides whether waste incinerators compete for geological CO2 storage". A per-plant carbon balance is applied to all 874 municipal waste incineration plants operating in Japan in fiscal 2024, each with its own measured waste composition, electricity export, grid area and announced CO2 value chain, and asks what one tonne of geological storage returns in creditable abatement when filled from this sector under the biogenic-neutral and the biogenic-removal conventions, against an otherwise identical all-fossil source on the same chain. The release contains the six annual facility-level tables of the Ministry of the Environment's survey of municipal solid waste management (fiscal 2019-2024), the derived six-release plant panel, the facility-code crosswalk between the two code generations with its match rule for every row, the at-risk spells of the discrete-time survival model, the per-plant value, asset and infrastructure clocks, the deployment windows under three intervention tiers, the storage-allocation efficiencies by grid area, the one-factor sensitivity sweep, the joint uncertainty draws, the measured plastics trend on a 757-plant balanced panel, and the Source Data workbook with one sheet per display item. A single entry point, run_all.py, regenerates every number, table and figure (Figures 1 to 5 and the table-of-contents graphic) from the fixed seed 20260815 and the input files shipped with the release; every number that appears in the text is written to key_numbers.json by the same run. The reproduction was verified from this archive in an empty directory: 26 of 26 derived data files byte-identical and 173 of 173 key numbers with zero difference. Licensing: the Python code is released under the MIT licence and the derived datasets under CC BY 4.0; the six source tables are redistributed unmodified under the Government of Japan's Public Data License 1.0 (CC BY 4.0-compatible) with the attribution it requires (see LICENSE). 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. Mixed licensing is stated in LICENSE: code MIT (the licence recorded for this record), derived data CC BY 4.0, source tables under Japan's Public Data License 1.0. The reference-plant energy inventory that the per-plant model re-expresses as intensities comes from the companion single-plant study by the same authors, archived at https://doi.org/10.5281/zenodo.21830579.

🔗 Provenance — このレコードを発見したソース

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