日本における自治体レベルの炭素強度（CI）および需要感応型炭素強度（SCI）データセット

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🔬研究者:自治体レベルのCI・SCI時系列データを活用し、需要応答や再エネ導入の排出削減効果を実証分析できる。

🏢実務担当者:自社の電力調達やScope 2算定において、地域・時間帯別の炭素強度を考慮した戦略立案に役立つ。

🏛政策担当者:地域の脱炭素政策や電力システム改革の評価に、需要感応型指標を組み込む根拠を提供する。

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 to characterize differences in prevailing carbon-intensity levels and the demand sensitivity of CI while preserving the confidentiality of the underlying smart-meter measurements. SCI represents the finite change in CI associated with a standardized 1-kWh increase in electricity demand under otherwise fixed contemporaneous operating conditions within the municipal energy accounting framework. It should be interpreted as a diagnostic indicator of the demand sensitivity of CI rather than as a causal or dispatch-based marginal emission factor. The published CI and SCI 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 for uncertainty assessment are not included in this release. This updated release additionally includes derived municipality-level outputs from the regression-based validation of SCI described in Supplementary Note 7 of the associated study. The validation independently estimates municipality-specific demand sensitivity of CI using regression models that progressively account for meteorological and temporal factors. The released derived outputs enable reproduction of the main regression-validation results, including Fig. 5 and Supplementary Figs. 8–9, without disclosure of the underlying smart-meter demand data. The repository also includes reproduction_scripts.zip , containing R scripts for reproducing selected municipality-level CI–SCI visualizations from the publicly released data and the newly added regression-validation figures. The archive additionally contains the regression-analysis code documenting the validation procedure for methodological transparency. Full re-execution of the regression fitting requires municipality-level smart-meter demand and meteorological inputs that are not distributed with this repository; however, the publicly released derived regression outputs allow the reported validation figures and summary results to be reproduced. Spatial coverage 333 municipalities in Japan included in the main CI–SCI analysis. Municipalities with substantial uncertainty in CI estimation due to unidentified non-PV distributed generation were excluded according to the screening procedure described in the associated study. Temporal coverage 1 April 2024 – 31 March 2025 Temporal resolution: 30 min Associated manuscript (revised version) Yu Fujimoto et al.,  “Hidden heterogeneity in low-carbon regions revealed by demand-sensitive carbon intensity.” Related preprint (original version)  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: Initial release of municipality-level CI and SCI datasets. Ver. 2.0: Added regression-based SCI validation outputs, reproduction scripts for the revised main-text and Supplementary figures, and regression-analysis code for methodological transparency.

• Zenodo https://zenodo.org/records/22702775first seen 2026-09-18 04:11:23 · last seen 2026-09-21 04:14:25
• openalex https://doi.org/10.5281/zenodo.22702775first seen 2026-09-19 05:08:40