Incorporating new technologies in EEIO models-Case study input data

Azuero-Pedraza CG, Thomas VM, Ingwersen WW. Incorporating New Technologies in EEIO Models. Applied Sciences. 2022; 12(14):7016. https://doi.org/10.3390/app12147016This data corresponds to the paper "Incorporating new technologies in EEIO models". These are the input files required to run the new technologies methodology within USEEIO v2 model for the woody-based biofuels case study. It contains a zip file with CSV files with: Input purchases from each technology of each commodity and value-added data to produce woody-based biofuels, and environmental flows associated with the production of woody-based biofuels for each technology.We propose a methodology to add new technologies into Environmentally Extended Input–Output (EEIO) models based on a Supply and Use framework. The methodology provides for adding new industries (new technologies) and a new commodity under the assumption that the new commodity will partially substitute for a functionally-similar existing commodity of the baseline economy. The level of substitution is controlled by a percentage (%) as a variable of the model. In the Use table, a percentage of the current use of the existing commodity is transferred to the new commodity. The Supply or Make table is modified assuming that the new industries are the only ones producing the new commodity. We illustrate the method for the USEEIO model, for the addition of second generation biofuels, including naphtha, jet fuel and diesel fuel. The new industries’ inputs, outputs and value-added components needed to produce the new commodity are drawn from process-based life cycle inventories (LCIs). Process-based LCI inputs and outputs per physical functional unit are transformed to prices and assigned to commodities and environmental flow categories for the EEIO model. This methodology is designed to evaluate the environmental impacts of substituting products in the current US economy with bio-versions, produced by new technologies, that are intended to reduce negative environmental impacts. However, it can be applied for any new commodity for which the substitution assumption is reasonable

Maps of emissions potentially driving respiratory health problems per dollar commodity produced in 2020 by U.S. state

The naming pattern is {indicator_acronym}_{commodity_code}_{year}_map.png.Produced using USEEIO State Models v1.0. One figure for each commodity in the USEEIO State Models.Comparable to Figure 2 in the report. See the EPA report for a complete list of commodities (Table 2) and indicators (Table 6), with more information on each.This item is part of the USEEIO State Models v1.0 - Supporting Figures collection.</p

Variation across U.S. states of environmental intensities of good and service production in 2020

These plots show the variation across states of potential impact intensity in impact per dollar good or service produced for each of the following indicators: ACID = acidification, CRHW = hazardous waste generation, ETOX=freshwater ecotoxicity, EUTR = eutrophication, GHG = greenhouse gas emissions, HRSP = emissions potentially impacting respiratory heath; HTOX = chemical emissions potentially causing cancer; LAND = land use; OZON = emissions potential depleting stratospheric ozone; WATR = water withdrawals; JOBS = full-time employees; SMOG = smog formation.The naming pattern is {indicator_acronym}_boxplot_{year}_map.png.Produced using USEEIO State Models v1.0. One figure for each indicator.Comparable to Figure 1 in the report. See the EPA report for more information on the commodities (Table 2) and indicators (Table 6).</p

Maps of jobs created per dollar commodity produced in 2020 in U.S. states

The naming pattern is {indicator_acronym}_{commodity_code}_{year}_map.png.Produced using USEEIO State Models v1.0. One figure for each commodity in the USEEIO State Models.Comparable to Figure 2 in the report. See the EPA report for a complete list of commodities (Table 2) and indicators (Table 6), with more information on each.This item is part of the USEEIO State Models v1.0 - Supporting Figures collection.</p

Maps of potential human toxicity pressures per dollar commodity produced in 2020 by U.S. state

The naming pattern is {indicator_acronym}_{commodity_code}_{year}_map.png.Produced using USEEIO State Models v1.0. One figure for each commodity in the USEEIO State Models.Comparable to Figure 2 in the report. See the EPA report for a complete list of commodities (Table 2) and indicators (Table 6), with more information on each.This item is part of the USEEIO State Models v1.0 - Supporting Figures collection.</p

Maps of potential toxicity pressures to freshwater ecosystems per dollar commodity produced in 2020 by U.S. state

The naming pattern is {indicator_acronym}\_{commodity_code}_{year}_map.png.Produced using USEEIO State Models v1.0. One figure for each commodity in the USEEIO State Models.Comparable to Figure 2 in the report. See the EPA report for a complete list of commodities (Table 2) and indicators (Table 6), with more information on each.This item is part of the USEEIO State Models v1.0 - Supporting Figures collection.</p

Top good and service categories by U.S. state ranked by environmental pressures from consumption

This is a ranking of goods and services (G&S) causing environment pressure based on consumption in a state. It should be read from greatest (top) pressure good and service to lower presure (bottom). Only the 12 highest G&S categories out of ~73 categories are shown. The score is calculated as a combined index score from the indicators in the columns.The calculation follows the same algorithm found in equations 34 and 35 in the USEEIO v2.0 model paper in Scientific Data. The indicators in the columns are:ACID = acidification, CRHW = hazardous waste generation, ETOX=freshwater ecotoxicity, EUTR = eutrophication, GHG = greenhouse gas emissions, HRSP = emissions potentially impacting respiratory heath; HTOX = chemical emissions potentially causing cancer; LAND = land use; OZON = emissions potential depleting stratospheric ozone; SMOG = photochemical smog formation; WATR = water withdrawals.The darker squares represent higher impact G&S for that and indicator related to other G&S consumed by that state.The naming pattern is {state}\_heatmap_consumption_final_{year}.png.Produced using USEEIO State Models v1.0. One figure for each state.Comparable to Figure 3a in the report. See the EPA report for more information on the G&S list (aka commodities) (Table 2) and indicators (Table 6).</p

Maps of emissions potentially causing ozone depletion per dollar commodity produced in 2020 by U.S. state

The naming pattern is {indicator_acronym}_{commodity_code}_{year}_map.png.Produced using USEEIO State Models v1.0. One figure for each commodity in the USEEIO State Models.Comparable to Figure 2 in the report. See the EPA report for a complete list of commodities (Table 2) and indicators (Table 6), with more information on each.This item is part of the USEEIO State Models v1.0 - Supporting Figures collection.</p

Maps of emissions potentially causing smog formation per dollar commodity produced in 2020 by U.S. state

he naming pattern is {indicator_acronym}_{commodity_code}_{year}_map.png.Produced using USEEIO State Models v1.0 2020. One figure for each commodity in the USEEIO State Models.Comparable to Figure 2 in the report. See the EPA report for a complete list of commodities (Table 2) and indicators (Table 6), with more information on each.This item is part of the USEEIO State Models v1.0 - Supporting Figures collection.</p

Maps of water withdrawals per dollar commodity produced in 2020 by U.S. state

he naming pattern is {indicator_acronym}_{commodity_code}_{year}_map.png.Produced using USEEIO State Models v1.0. One figure for each commodity in the USEEIO State Models.Comparable to Figure 2 in the report. See the EPA report for a complete list of commodities (Table 2) and indicators (Table 6), with more information on each.This item is part of the USEEIO State Models v1.0 - Supporting Figures collection.</p