Greg Miller

The language describing residual mixes in the GHG Protocol Scope 2 Guidance is generally pretty vague, and describes it as: - "untracked or unclaimed energy and emissions" - "the emissions...

Another source of data for supplier-specific factors could be the EEI CO2 database: https://www.eei.org/en/issues-and-policy/national-corporate-customers/co2-emission

It seems in some cases when gross generation is missing, we could impute using steam load data: https://github.com/singularity-energy/open-grid-emissions/issues/216

FYI, we have some functions in the OGE repo to [download](https://github.com/singularity-energy/open-grid-emissions/blob/64f9a036110bcda4a3a7ce3f52c22937bffcd1e7/src/oge/download_data.py#L250) and [process](https://github.com/singularity-energy/open-grid-emissions/blob/64f9a036110bcda4a3a7ce3f52c22937bffcd1e7/src/oge/eia930.py#L25) the six month files into the format you use here. Not sure if this would be helpful.

eGRID actually has a "PM2.5" version of eGRID: https://www.epa.gov/egrid/egrid-related-materials#eGRID%20PM2.5

This paper mentions a dataset that might be helpful: https://bescdn.breakthroughenergy.org/publications/US_Test_System_with_High_Spatial_and_Temporal_Resolution.pdf

In addition to examining national profiles, we should evaluate how well modeled/TMY wind and solar profiles perform compared to the current DIBA imputation method.

This paper includes some good methods/datasets, especially for wind: https://bescdn.breakthroughenergy.org/publications/US_Test_System_with_High_Spatial_and_Temporal_Resolution.pdf (see III.D)

Electricity disposition data is reported by utility in the "Operational_Data" table of EIA-861. This table only reports the NERC region of each utility, but we may be able to map...

Based on the work started in https://github.com/singularity-energy/hourly-egrid/pull/161, this is what I've discovered so far: ### How does eGRID Calculate GGL? - eGRID calculates GGL based on the [EIA's State Electricity...