The Emissions & Generation Resource Integrated Database (eGRID) is a comprehensive source of data on characteristics of almost all electric power generated in the United States. This data includes capacity; heat input; net generation; associated air emissions of nitrogen oxides, sulfur dioxide, carbon dioxide, methane, nitrous oxide and mercury; emissions rates; resource mix (i.e., generation by fuel type); nonbaseload calculations; line losses (a.k.a., grid gross loss); and many other attributes. The data is provided at the unit and generator levels, as well as, aggregated to the plant, state, balancing authority, eGRID subregion, NERC region, and US levels. As of January 2024, the available editions of eGRID contain data for years 2022, 2021, 2020, 2019, 2018, 2016, 2014, 2012, 2010, 2009, 2007, 2005, 2004, and 1996 through 2000.

Monthly average hourly CO2, NOx, and SO2 emission factors for each U.S. eGRID subregion. This project utilized GridViewTM, an electric grid dispatch software package, to estimate hourly emission factors for all of the eGRID subregions in the continental United States. These factors took into account electricity imports and exports across the eGRID subregion boundary, and included estimated transmission and distribution (T) losses. Emission types accounted for included carbon dioxide (CO2), nitrogen oxides (NOx), and sulfur dioxide (SO2).Data reported as part of this project include hourly average, minimum, and maximum emission factors by month; that is, the average, minimum, and maximum emission factor for the same hour of each day in a month. Please note that the data are reported in lbs/MWh, where the MWh value reported is site electricity use (the actual electricity used at the building) and the pounds of emissions reported are the emissions created at the generator to meet the building load, including transmission and distribution losses. The demand profiles used to generate the data pertain to the following years: eastern interconnect - 2005; Electricity Reliability Council of Texas (ERCOT) - 2008; Western Electricity Coordinating Council (WECC) - 2008.

This dataset contain records factors for emissions and releases of chemicals to air, water and ground, waste generation, from electricity generation, All values are per megawatt-hour (MWh) of eletricity generated at power plants or other generating facilities. Subregion is an acronym of a U.S. EPA eGRID subregion. See https://www.epa.gov/egrid FlowName, Context, and Unit are defined as they are in the Flow table format specification for the U.S. EPA Standardized Inventories (StEWI) tool. https://github.com/USEPA/standardizedinventories/blob/master/format%20specs/Flow.md FlowName is the name of the chemical, waste, input or product. Chemical (context is air, water or ground) use the nomenclature of the Federal LCA Commons Elementary Flow List. Wastes use the names for waste code descriptions from the 2017 RCRA Biennial Waste Report. There are also "Heat" input and "Steam" co-product output factors. These names and data come from the eGRID 2016 database. This dataset is associated with the following publication: Ghosh, T., W.W. Ingwersen, M. Jamieson, T.R. Hawkins, S. Cashman, T. Hottle, A. Carpenter, and K. Richa. Derivation and assessment of regional electricity generation emission factors in the USA. INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT. Ecomed Verlagsgesellschaft AG, Landsberg, GERMANY, 28(2): 156-171, (2023).

Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control.

This project utilized GridViewTM, an electric grid dispatch software package, to estimate hourly emission factors for all of the eGRID subregions in the continental United States. These factors took into account electricity imports and exports across the eGRID subregion boundary, and included estimated transmission and distribution (T) losses. Emission types accounted for included carbon dioxide (CO2), nitrogen oxides (NOx), and sulfur dioxide (SO2).Data reported as part of this project include hourly average, minimum, and maximum emission factors by month; that is, the average, minimum, and maximum emission factor for the same hour of each day in a month. Please note that the data are reported in lbs/MWh, where the MWh value reported is site electricity use (the actual electricity used at the building) and the pounds of emissions reported are the emissions created at the generator to meet the building load, including transmission and distribution losses. The demand profiles used to generate the data pertain to the following years: eastern interconnect - 2005; Electricity Reliability Council of Texas (ERCOT) - 2008; Western Electricity Coordinating Council (WECC) - 2008.

Hydro Quebec dataset on the factors of direct emission of greenhouse gases from energy sources in Quebec's import and export markets. Updated annually. ## Method Data from public sources external to the company is extracted and compiled. Direct greenhouse gas emission factors are presented for each of the energy sources on an external market from which Quebec can import energy or to which it can export energy. Power plants powered by renewable sources of energy do not produce direct GHG emissions. Sources of GHG emissions by fossil fuel power plants: * Quebec: https://www.hydroquebec.com/data/developpement-durable/pdf/d-5647-etiquette-metrique2021-fr-vf.pdf * Ontario: values calculated retroactively from the following sites of the Independent Electricity System Operator (SIERE): https://www.ieso.ca/-/media/Files/IESO/Document-Library/gas-phase-out/Decarbonization-and-Ontarios-Electricity-System.ashx and https://www.ieso.ca/en/Corporate-IESO/Media/Year-End-Data#yearenddata * State of New York, New York England, MISO and PJM: https://www.epa.gov/egrid The values of GHG emissions from electricity generation in New York State, New England and by the MISO and PJM organizations are calculated from the GHG emissions from power plants published in the EPA's eGrid database (https://www.epa.gov/egrid). The values of GHG emissions from electricity generation in New Brunswick and Ontario are respectively from the federal government (https://www.cer-rec.gc.ca/en/data-analysis/energy-markets/provincial-territorial-energy-profiles/provincial-territorial-energy-profiles-new-brunswick.html) and from the IESO. All these values differ from the values recommended by the Regulations Amending the Regulations Amending the Regulations on the Mandatory Reporting of Certain Contaminants into the Air (RDOECA). ## Additional Information * Geographic Coverage: North-East America * Instructions and conditions of use: The data provided is raw, without guarantee of quality and may change without notice.

These workbooks contain modeled estimates of long-run marginal emission rates (LRMER) for the contiguous United States. The LRMER is an estimate of the rate of emissions that would be either induced or avoided by a long-term (i.e., more than several years) change in electrical demand. It incorporates both the projected changes to the electric grid, as well as the potential for an incremental change in electrical demand to influence the structural evolution of the grid (i.e., the building and retiring of capital assets, such as generators and transmission lines). It is therefore distinct from the more-commonly-known short-run marginal, which treats grid assets as fixed. The Levelized LRMER worksheet within each workbook is set up to produce a levelized long-run marginal emission rate based on user-provided inputs. These levelized LRMER values are intended for analysts to use when estimating the emissions induced (or avoided) by a long-term change in end-use electricity demand. There are two workbooks that supply the data at two different geographic resolutions: states and GEA regions (20 regions that are similar to, but not exactly the same as, the US EPA's eGRID regions). For more data underlying these emissions factors, see the Cambium 2021 project at https://cambium.nrel.gov/. For more details on the inputs into the scenarios available in the workbooks, see the Standard Scenarios 2021 Report (https://www.nrel.gov/docs/fy22osti/80641.pdf). This data was produced as part of the Cambium project. For more details about the methodology, see the Cambium Documentation: Version 2021 (https://www.nrel.gov/docs/fy22osti/81611.pdf). This data is planned to be updated annually. Information on the latest versions can be found at https://www.nrel.gov/analysis/cambium.html.