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Municipality-level Carbon Intensity (CI) and Demand-Sensitive Carbon Intensity (SCI) Dataset for Japan

日本の市区町村レベルの炭素原単位（CI）と需要感応型炭素原単位（SCI）データセット (AI 翻訳)

Fujimoto, Yu, Sugano, Soma, Mitsuoka, Masataka, Ihara, Yuto, Shimokawa, Satoru, Hayashi, Yasuhiro

Zenodoデータセット2026-06-17#炭素会計Origin: JP
DOI: 10.5281/zenodo.20686296
原典: https://zenodo.org/records/20686296

🤖 gxceed AI 要約

日本語

本データセットは、日本の333市区町村における30分単位の炭素原単位（CI）と需要感応型炭素原単位（SCI）の時系列を提供する。2024年4月から2025年3月までのデータに基づき、TSOミックスによるベースラインシナリオを用いている。スマートメーターデータの機密性を保ちつつ、都市の炭素強度の不均一性を研究するための基礎データとなる。

English

This dataset provides 30-minute resolution time series of Carbon Intensity (CI) and Demand-Sensitive Carbon Intensity (SCI) for 333 municipalities in Japan, covering April 2024 to March 2025. It uses a baseline scenario with TSO mixes to estimate electricity-related emissions, preserving smart-meter confidentiality. The dataset enables study of urban carbon-intensity heterogeneity and supports reproducibility with public scripts.

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

日本国内の市区町村レベルでの高解像度炭素原単位データは、自治体の脱炭素計画や企業のScope2算定に有用。SSBJ対応や有報での情報開示において、より精緻な排出量評価が求められる中、本データセットは需要側の変動を反映した実践的な指標を提供する。

In the global GX context

This high-resolution carbon intensity dataset at municipality level is valuable for subnational decarbonization planning and Scope 2 accounting. Globally, it demonstrates a methodology for demand-sensitive carbon intensity that could inform ISSB and TCFD-aligned disclosure, especially for corporate value chains with location-specific electricity consumption.

👥 読者別の含意

🔬研究者:Researchers can use this dataset for urban carbon dynamics analysis and to validate demand-sensitive emission models.

🏢実務担当者:Corporate sustainability teams can leverage the data to refine Scope 2 emission calculations for Japanese operations with high temporal granularity.

🏛政策担当者:Policymakers can incorporate granular CI data into local climate action plans and evaluate demand-side measures.

📄 Abstract（原文）

Description This dataset contains municipality-level Carbon Intensity (CI) and Demand-Sensitive Carbon Intensity (SCI) time series for the 333 municipalities retained for the main CI–SCI analysis after applying the uncertainty-screening procedure described in the associated study. The dataset provides municipality-level CI and SCI values used in a study of urban carbon-intensity dynamics while preserving the confidentiality of the underlying smart-meter measurements. The values correspond to the Baseline (TSO mix) scenario adopted throughout the study, in which time-varying generation mixes of the corresponding transmission system operators (TSOs) are used to estimate electricity-related emissions. Alternative pessimistic and optimistic emission-factor scenarios used solely for uncertainty assessment are not included in this release. In addition to the municipality-level CI and SCI datasets, this repository also contains a set of reproduction scripts ( reproduction_scripts.zip ) that generate simplified versions of the principal municipality-level analyses presented in the associated study. These scripts operate solely on the publicly released datasets and are intended to facilitate transparency and reproducibility while preserving the confidentiality of the underlying smart-meter measurements. Spatial coverage 333 municipalities in Japan included in the main CI–SCI analysis. Municipalities with substantial uncertainty in CI estimation due to unidentified distributed generation were excluded, as described in the associated study. Temporal coverage 1 April 2024 – 31 March 2025 Temporal resolution: 30 min Related publication  Yu Fujimoto, Soma Sugano, Masataka Mitsuoka, Yuto Ihara, Satoru Shimokawa, Yasuhiro Hayashi, "Hidden Heterogeneity in Low-Carbon Cities via Demand-Sensitive Carbon Intensity", Research Square preprint, Version 1,  February 2026. doi: 10.21203/rs.3.rs-8891089/v1 Version history Ver. 1.0: Released.

🔗 Provenance — このレコードを発見したソース

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