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PHASED study archive | U.S. eGrid 2022 | eGRID2019_Data.xlsx

Gazar, Amir M., Jackson, Chloe, Mavrommati, Georgia, Howarth, Rich B., Calder, Ryan S.D.

Zenodoデータセット2026-10-04#エネルギー転換Origin: US対象セクター: power
DOI: 10.5281/zenodo.23128681
原典: https://zenodo.org/records/23128681

🤖 gxceed AI 要約

日本語

本記録はPHASED研究「相関不確実性伝播による電力システム脱炭素の多影響意思決定支援」で使用された米国EPA eGRID 2019データファイルの公開アーカイブである。研究の再現性確保を目的とし、元データの出典・再利用条件は提供元に帰属する。新たな図表や分析は含まれない。

English

This record archives the U.S. EPA eGRID 2019 data file used in the PHASED study on correlated uncertainty propagation for electrical system decarbonization decision support. It preserves the original external data for reproducibility; no new figures or analyses are included, and reuse remains subject to the original provider's terms.

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

日本では電力排出係数（調整後排出係数）がScope 2算定の基礎となるため、地域別・時系列のグリッド排出係数データとその不確実性の扱いは、SSBJ基準や有報でのScope 2開示精度に直結する。eGRIDのような公開グリッドデータの整備・再利用の枠組みは、日本での電力データ基盤整備の参考になる。

In the global GX context

Grid emission factors underpin Scope 2 accounting globally, and this archive illustrates how public grid data (eGRID) can be preserved and reused for uncertainty-aware decarbonization analysis. It supports the broader movement toward transparent, reproducible emissions-factor datasets needed for TCFD/ISSB-aligned disclosure and grid-mix-sensitive target setting.

👥 読者別の含意

🔬研究者:Provides a citable, reproducible source dataset for grid-emissions and uncertainty-propagation modeling.

🏢実務担当者:Useful reference for understanding U.S. grid emission factors and their uncertainty when benchmarking Scope 2 calculations.

🏛政策担当者:Illustrates the value of maintaining open, well-documented national grid-emissions datasets for disclosure and policy analysis.

📄 Abstract（原文）

Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization. File: eGRID2019_Data.xlsx. Source group: U.S. eGrid 2022. Study file location: 4 External Data/U.S. eGrid 2022/eGRID2019_Data.xlsx. This record preserves the original file. Credits and reuse conditions of the original data provider remain applicable. No newly generated webpage figures or summary tables are included. Study manuscript: Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization. The five listed authors are the study authors and compilers of this study archive. Original external data remain credited to their providers. Source credit: U.S. Environmental Protection Agency, eGRID; edition/year as specified in the preserved filename. Reuse: EPA states that eGRID data are public domain. Files include the 2018, 2019, 2020, 2021 and 2022 editions and the 2020 technical guide. Source or terms: https://www.epa.gov/egrid/frequent-questions-about-egrid . Corresponding study author: Ryan S.D. Calder (rsdc@vt.edu). This file is made publicly available for study reproducibility. Any reuse must comply with the original provider's citation, attribution, license and other source requirements. Cite the original source as well as this archived copy. The study authors do not claim authorship of the underlying external source data or grant rights beyond those held by the source provider.

🔗 Provenance — このレコードを発見したソース

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