This bundle contains all of the available Global Emission Factors including: Global Electricity Factors, Global Homeworker Factors and Global Hotel Factors at a 10% discount. Reduction in emissions for ozone depletion potential for manufacturing sectors. P is a commodity x year currency year adjustment matrix. However, the BEA table is insufficient in two aspects: Most BEA codes have explicit correspondence with NAICS codes, but BEA codes in several sector groups, including construction (23), government (G), and final demand (F), are not aligned with specific NAICS industries. National totals of flows (physical movements of specific resources, emissions or employment) by industries are used as the sources of environmental and employment data. The relationship table presents a hierarchy of the BEA codes at three levels of detail: sector (21 sector groups), summary (71 sector groups), and detail (405 sector groups), as well as how each level relates to the NAICS code structure. EF Hub. U.S. Environmental Protection Agency, Washington, DC, EPA/600/R-20/001, 2020. JavaScript appears to be disabled on this computer. Due to shifts in the oil and gas industry towards increased natural gas extraction, the 2002 water withdrawal coefficients likely do not reflect 2015 water withdrawals for mining industries. Total flows or impacts associated with a given amount of final demand are calculated using two perspectives that produce the same overall flow or impact totals but associate the totals with different sectors. Domestic water withdrawals are assigned to the BEA code F01000, as no NAICS code represents households. Irrigation and water management survey 2018. volume9, Articlenumber:194 (2022) A similar effect can be seen in the increase in ETOX for Fresh vegetables, melons, and potatoes which is also driven by pesticides, where.lambda.-Cyhalothrin, Chlorothalonil, and Cyfluthrin contribute 27%, 22%, and 19%, respectively, to this impact. A symbol represents the transposed (rows and columns switched) form of a matrix or vector. However, Fig. The validation results show that the model passes the check shown in Eq. Google Scholar. The scope 3 emissions for one organization are the scope 1 and 2 emissions of another organization. For v2.0, the Sector Crosswalk is built based on 2012 BEA and NAICS codes and includes 2007 NAICS codes according to the 2012 NAICS to 2007 NAICS concordance by Census Bureau23. Scope 3 emissions include all sources not within an organizations scope 1 and 2 boundary. U.S. EPA Supply Chain Greenhouse Gas Emission Factors for U.S. Commodities and Industries The U.S. EPA Supply Chain Emission Factors for U.S. Industries and Commodities dataset is a comprehensive set of supply chain emission factors covering all categories of goods and services in the U.S. economy. As described in the Splitting Impacts section, in v2.0, impacts can be split between those originating in the US vs. the rest of the world. FLOWSA v1.0.1. C.B. It may also yield insights into changes in US industry environmental performance that may be of interest to users that have used a v1 model either directly or via an interface like the SMM Prioritization Tools. The full names of the indicators in the columns are given in Table3. The adjustment matrices (P and ) can be used as desired to transform a coefficient into a more recent dollar year and into purchaser price. N is an indicator x sector matrix and contains in each row i the direct and indirect impact result per 1 USD output of sector j. U.S. EPA Office of Research and Development (ORD) https://doi.org/10.23719/1524312 (2021). EPA/600/R-20/001 https://cfpub.epa.gov/si/si_public_record_report.cfm?Lab=CESER&dirEntryId=349324 (U.S. Environmental Protection Agency, 2020). Chemical releases reported by facilities in these datasets include toxic releases, metal compounds, nutrients, and organic pollutants. U.S. EPA Office of Research and Development (ORD) https://doi.org/10.23719/1369615 (2017). 28, 99118, https://doi.org/10.1257/jep.28.2.99 (2014). New procedures for preparing and integrating these datasets into the model are described in the Procedure for Model Building section. 17. Additionally, QCEW publishes state and county employment data used in other sector attribution models used in USEEIO v2.0. PubMedGoogle Scholar. Cm is obtained from Eq. Technol. Depending on the data available for the location of product use, apply eGRID subregion or U.S. national average factors. The allocation percentages for the consumption of the disaggregated waste commodities by the IO industries are included in the WasteDisaggaregation_Use sheet of the primary data record, in the Use Row Sum, Commodity Output rows for the Business firms and farms customer class and in the Commodity disaggregation rows for the other customer classes. Industrial and Mining water withdrawals are proportionally allocated using BLS QCEW employment data47. ADS When no additional data is available, the satellite flows are disaggregated based on the total economic throughput of the disaggregated sectors. Home | Emissionfactors In v2.0, these emissions have been allocated to manufacturing sectors on the basis of fuel consumption by fuel type30. QCEW publishes national annual employment at the 6-digit NAICS; no additional allocation is required for use in v2.0. A series of coefficient matrices are provided that are products of combining more than one of the economic, physical flow, and indicator components. 11:30-12:15. For more information and to download the 2016 report and methodology, see: https://www.epa.gov/smm/2016-recycling-economic-information-rei-report-and-methodology. This level of aggregation prevents targeted analysis of various waste handling activities, such as material recovery (recycling). The most common sources listed in the table are: To apply the EF Hub scope 1 and 2 factors, the organization can first define the GHG generating activity for each relevant source category, then apply the appropriate factors for stationary combustion, mobile combustion, fugitive emissions, electricity, heat, or steam. EPA Report: Supply Chain Greenhouse Gas Emission Factors for U.S. Industries and Commodities Many organizations quantify greenhouse emissions in their value chain. These tables are typically released 5 or more years after the Census is performed. PubMed Coverage of these data used in v2.0 is equivalent to that from v1.2 as seen in Table2. Global warming potential (GWP) is a factor describing the radiative forcing impact (degree of harm to the atmosphere) of one unit of a given GHG, relative to one unit of CO 2 over a 100-year time horizon. Irrigation Golf Courses water withdrawals are assigned to NAICS 713910. Table 1 shows EPA's recommended source of emission factors for each scope 3 category. Fedelemflowlist v1.0.8. For waste management disaggregation, a subset of the RCRAInfo database that contains waste flows from shipping facilities to receiving/storage facilities (arranged by NAICS sector codes) was used. The Make table is normalized by the commodity output vector, q to create what is also known as the market shares matrix. EPA 430-R-18-003 https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990-2016 (U.S. Environmental Protection Agency, 2018). Please click here to see any active alerts. Many organizations quantify greenhouse emissions in their value chain. Life Cycle Databases | GHG Protocol The USEEIO v2.0.1411 dataset is the primary data record, and includes the waste disaggregation data inputs, model components, result matrices, price adjustment matrices, and demand vectors, along with supporting metadata including sector, flow and indicator descriptions. 5, where xi,z is the year industry output for industry i in the currency year, z, corresponding to the year of the national flow totals. Name of source. Alameda Countys Supply Chain Sustainability Report, developed using the USEEIO, provides a guide for how government purchasing can be a catalyst for matching sustainability with advancing the health and wellbeing of its citizens. https://www.eia.gov/consumption/manufacturing/data/2010/ (U.S. Energy Information Administration, 2013). The Use table intersection represents the consumption of the Waste management and remediation services commodity by the Waste management and remediation services industry itself. is a commodity x year price type adjustment matrix prepared using Eq. Google Scholar. Learn More The reader should refer to Table3 for the source of the impact method characterization factors used to construct the N and D matrices. figshare https://doi.org/10.6084/m9.figshare.19100375.v1 (2022). The commands for building v2.0 with useeior v1.0.0 along with the results of the validation procedure are shown in a model building and validation document65. The report states that a critical contribution is the development of a waste input-output model designed to capture the material inputs (production sectors like mining, energy, materials, parts and products) and outputs (waste and material separation and reprocessing, of products, services and wastes). EPA researchers have partnered with the Georgia Department of Economic Development to work with volunteer software developers and designers to build web applications using the Georgia version of USEEIO for local communities looking to advance economic development in ways that spark both prosperity and environmental sustainability. 4, EI is a emission x industry matrix of national totals of each flow by industry sector in year y, and xz,y is a vector of gross output by industry in year z, given in year y dollars. The result is available in the National Point Source Releases to Ground By Industry 2017 v1.1 dataset35. Assessing the flows or processes (i.e. U.S. Energy Information Administration. Data are assigned to sectors based on facility-reported NAICS. B.Y. Chemical releases to ground are sourced from the Toxic Release Inventory, the same source as used in v1.2. liter) emission factor for fuel source (for example, kg CO2 e/liter)) + ((quantity of refrigerant leakage (kg) emission factor for refrigerant (kg CO2 e/kg)) + process emissions) the Use table rows), the value of the receipts received by each disaggregated waste management sector by each Economic Census customer class was divided by total value spent by that customer class on Waste management and remediation services. Federal government (defense) climbed from 17th to 7th due to an increased relative amount of HTOX. The Service Annual Survey (SAS) from the US Census Bureau provides estimates of revenue and expenditure data for most traditional service industries21, and is used in the disaggregation of the waste management industries (i.e., Use table columns). The right side of Eq. 3, B is in flow x commodity form after transforming BI into this form with the market shares matrix transformation. In v1.1, releases from the DMR were limited to nutrient release of nitrogen and phosphorous. https://www.epa.gov/ozone-layer-protection/international-actions-montreal-protocol-substances-deplete-ozone-layer (2015). For calculating any domestic result (see sec. The v2 industry output and commodity output totals for each commodity and industry in the model were both found to be within 1% of the original totals. Impacts with smaller domestic proportions of impact like Energy Use are dominated by sectors like Gasoline, fuels, that are more dependent on imports for their inputs, as in crude oil for this sector in 201274. The values in P are commodity-specific deflation ratios where a value of Pc,y is a ratio of model USD:year y USD for commodity c. Values in P are prepared with Eq. The Federal LCA Commons Elementary Flow List (FEDEFL) v1.0.7 is used to represent the substance, environmental compartment or origin or release, and the unit in a common format with Federal LCA data14,15. PDF Category 4: Upstream Transportation and Distribution To calculate emissions, estimate the lifetime electricity consumption (in kWh) for all products sold in the reporting year. The Economic Census data provides monetary receipt values by detailed NAICS codes and customer class. Emission factors (Resource) - WikiCarbon For v2.0, the USD year of the model is the same as the IO data, 2012 USD. Supply Chain Greenhouse Gas Emission Factors for US Industries and Commodities (No. Report No. USEEIO v2.0, or referred to solely as v2.0, is the latest edition of the US Environmentally-Extended Input-Output (USEEIO) model for assessing a full suite of potential life cycle impacts of US. 58% of the value of the original waste sector is allocated to the intersection of Hazardous waste treatment and disposal with itself, while the Hazardous waste treatment and disposal column contains 89% of the total value of the intersection disaggregation. The BEA Use table reports the data for final US demand by these consumers, grouping them at varying levels of resolution depending on the level of resolution of the Use table (i.e., sector, summary or detail). Major Uses of Land in the United States, 2007. https://www.ers.usda.gov/publications/pub-details/?pubid=44630 (U.S. Department of Agriculture, 2011). A., Los, B., Stehrer, R. & Vries, G. Jde Slicing up global value chains. Information is ordered by the respective Nomenclature For Reporting (NFR) source category code. The original environmental and employment data were all produced by from flowsa v1.0.126, whereas environmental datasets originally created for v1 USEEIO models5,7 were mapped and reformatted. The USEEIO dataset that comes with Net Zero Cloud is from an analysis performed in the year 2012. Planting, M. & Guo, J. zenodo https://doi.org/10.5281/zenodo.6370115 (2021). In v2.0, the industrial water withdrawal sectors were expanded to include sectors within NAICS 11, 23, 48, 51, 54, 56, and 81, as defined in the USGS to NAICS crosswalk in flowsav1.0.1 and as recommended by the USGS. 20. where mf is the column representing the flow of interest from the M matrix, and cn is the transposed row representing the indicator of interest from the C matrix. ~75% of these emissions stem from upstream activities . Census of agriculture 2017. BLM/OC/ST-13/002+1165 https://www.blm.gov/sites/blm.gov/files/pls2012-web.pdf (U.S. Bureau of Land Management, 2013). See the Scope 3 Emission Factors section below for more details. The margins present for Waste and Remediation were allocated using the total Use table commodity output. Accordingly, the waste shipped from and to waste management sectors are used as the basis for the mapping of the waste management intersection in the Use table. This equation is shown in Eq. The general equation for emissions estimation is: E = A x EF x (1-ER/100) where: E = emissions; A = activity rate; In these datasets, emissions are reported by county and assigned to source classification codes. USEEIO was used by Climate Earth to calculate emissions associated with most purchased goods and services as part of Merck's annual corporate responsibility report. 2-6 digit 2012 NAICS Code File. The final model is provided in the National Land Occupation Totals By Industry 2012 v1.1 dataset44. Red text indicates an update from the 2018 version of this document. This EPA report describes supply chain GHG emission factors prepared with versions of the USEEIO, which are life cycle models of all categories of goods and services and industries in the US economy. The waste sector disaggregation procedure required the definition of an additional set of configuration files that provide instructions for this disaggregation procedure. Ingwersen, W., Li, M. & Young, B. The intent of this detailed analysis is to provide information and recommendations on available opportunities to work with County vendors to improve environmental performance and advance the health and wellbeing of the residents of Alameda County and beyond., US Department of Energy 12:15-12:30. Article Secure .gov websites use HTTPS In Fig. 2021 edition of the Emission factors data package. In other words, the monetary and physical flows occur in the same direction: makers of the waste treatment commodity receive both the physical waste to be disposed and the money for the disposal service. In v1.2, MLUs Total Timberland was assigned to timberland, while in v2.0, MLUs Forest-use land not grazed was assigned to timberland. In v1 models, a base economic year of 2013 different than the IO year of the economic data was used. The original Mining attribution version calculated results using process and employment-based factors published by Blackhurst et al.53. EPA/600/R-20/001). An Introduction to Environmentally-Extended Input-Output Analysis Advancing sustainable materials management: 2014 fact sheet. QCEW was chosen for the sector attribution model, as QCEW data is one of the primary data sources for the National Employment Matrix and as the National Employment Matrix database primary purpose is for national-level employment predictions60. Allocation for this sector is described in the Make table intersection disaggregation section. The correspondence stems from BEA-NAICS relationship table released with national input-output (IO) accounts by BEA10. Water_national_2015_m1 was created primarily using water withdrawal data accessed from the USGS National Water Information System Web Interface45. Then calculate electricity emissions using emission factors in the EF Hub. USEEIO. Where a 5-digit NAICS contains only a single 6-digit child NAICS (e.g., 56291), flows are automatically assigned to that sector. State level USDA CoA data are used to calculate fractions of land use by animal type, which are multiplied by state level MLU pasture and grazed land. USEEIO v2.0 was built in useeior v1.0.061. You can choose whether functional and advertising cookies apply. Quarterly census of employment and wages 2012. https://www.bls.gov/cew/downloadable-data-files.htm (U.S. Bureau of Labor Statistics, 2020). US Department of Defense Other agricultural commodities show the inverse change in v2.0, where the agricultural output in v2.0 is higher and thus the pesticide release and related impact intensities are lower. Emission Factor Database Last modified 23 Nov 2020 1 min read This viewer presents selected emission factors and abatement efficiencies included in the EMEP/EEA Guidebook 2019. In Water_national_2015_m1, these water withdrawal categories are attributed to sectors using additional data sources for allocation, when necessary. Overview of GHG Protocol scopes and emissions across the value chain. 15, 18. The matrix M is a flow x sector matrix and contains in each row i the direct plus indirect flows per 1 USD output of the sector in column j. v2.0 relies on the BLS QCEW data for the employment satellite table to maintain a consistent employment data source throughout all environmental accounts, as BLS QCEW is used as an allocation source. The Make table columns represent which commodities are produced by different industries. In v2.0, water for mining sectors is first attributed to 6-digit NAICS using employment data before mapped to BEA industry codes. The Resource Conservation and Recovery Act Information System (RCRAInfo) database contains information on the flows of hazardous waste22, and is mainly used in the disaggregation of the Use table intersection. Slider with three articles shown per slide. For example, releases of nitrogen and phosphorous are sourced from the Nitrogen and Phosphorus Release from Agriculture satellite table (NPAG) specifically for agricultural sectors, while data for all other sectors are sourced from the Discharge Monitoring Report via the Point source releases to water satellite table (WATREL). U.S. EPA Office of Research and Development (ORD) https://doi.org/10.23719/1524311 (2021).
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