PHASED study archive | U.S. eGrid 2022 | egrid2020_technical_guide.pdf
Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization. File: egrid2020_technical_guide.pdf. Source group: U.S. eGrid 2022. Study file location: 4 External Data/U.S. eGrid 2022/egrid2020_technical_guide.pdf. 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 ([email protected]). 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.
Authors
- Chloe Jackson
- Georgia Mavrommati (ORCID: https://orcid.org/0000-0003-4473-7832)
- Amir M. Gazar (ORCID: https://orcid.org/0000-0002-8962-4279)
- Ryan S. D. Calder
- Rich B. Howarth
Institutions
- Dartmouth College (US)
- University of Massachusetts Boston (US)
- Virginia Tech (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-04
- DOI
- https://doi.org/10.5281/zenodo.23128788
- Primary Topic
- Integrated Energy Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00