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Process Data set: [CicloData]transport, freight, lorry 16-32 metric ton, EURO1 | Cutoff, U (en) en

Key Data Set Information
Location CL
Geographical representativeness description Recontextualization from 'transport, freight, lorry 16-32 metric ton, EURO1, ZA'. Fuel type, freight load factor, regulated and fuel-dependent emissions were updated for the Brazilian situation. The environmental interventions due to vehicle transport are modelled by linking the environmental interventions due to vehicle operation with impacts due to vehicle manufacturing, vehicle maintenance, vehicle disposal, road construction, operation and maintenance of roads and road disposal.
Reference year 2020
Name
[CicloData]transport, freight, lorry 16-32 metric ton, EURO1 | Cutoff, U
Classification
Class name : Hierarchy level
  • ILCD: #ECOED / #CICLODATA / Transporte de carga / Transporte en camión
General comment on data set ecoQuery: https://ecoquery.ecoinvent.org/3.10/cutoff/dataset/25110/documentation This dataset is an adaptation of “transport, freight, lorry 16-32 metric ton, EURO1” in South Africa, as available in version 3.6 of the ecoinvent database to reflect the situation in Brazil. It represents the service of 1tkm freight transport in a lorry of the size class 16-32 metric tons gross vehicle weight (GVW) and Euro 1 emissions class.;The Brazilian lorry fleet is regulated under the Vehicles Air Pollution Control Program – Proconve, which phases are equivalent to the European control program – EURO. Since 2012, the Proconve P7 (EURO 5) phase is in practice, while the P8 phase (EURO 6) will start in 2023. Before that, the Proconve P6 phase (EURO 4) was not implemented because of the unavailability of low-sulphur diesel, therefore recontextualized datasets do not consider this phase. The P5 (EURO 3), P4 (EURO 2) and P3 (EURO 1) phases started in 2005, 2000 and 1996, respectively. Prior technologies are classified as unregulated.;;For the dataset recontextualization to the Brazilian reality, an updated average freight load and the diesel with 500 ppm of sulfur and 12% biodiesel blend are considered. Moreover, data from emission tests of the national vehicle production and import (CETESB, 2019) is used to update regulated emissions (carbon monoxide, particulate matter and nitrogen oxides). Furthermore, correction factors are used to consider the impact of biodiesel blend on exhaust emissions (USEPA 2002), and the fuel composition is considered to account for carbon dioxide and sulphur dioxide emission.;The vehicle mass category classification considered in Brazilian national statistics is approximated to the one adopted in ecoinvent datasets. The 16-32 metric ton lorry is representing the Brazilian heavy-duty lorry with gross vehicle weight (GVW) larger than 15 metric tons and combined gross vehicle weight (CGVW) lower than 40-ton category classification. For the Brazilian classification, CGVW refers to the total weight of the combinations of vehicles, i.e. trailers. The average capacity utilization factor (including empty trips) for this category is 60.5 % according to the Road Freight Transport Model from the Brazilian Energy Research Enterprise – EPE (Stukart, 2018). Whereas, the average payload capacity for this category is 12.8 ton (Novo, 2016), resulting in an average freight load of 7.75 ton. GWV is estimated by assuming the same empty vehicle weight as for the RER region for the respective matching categories and accounting for the updated freight load. This resulted in a GWV of 17.7 ton. Vehicle mass dependent non-exhaust emissions (i.e. tyre, brake and road wear) are adjusted accordingly.;The emissions of carbon monoxide (CO), nitrogen oxides (NOx) and Particulate Matter (PM) were updated with data from (CETESB, 2019), which uses data from emission testing of the national vehicle fleet production and imports, weighted by sales amounts. Those tests are run with a reference fuel, which is not blended with biodiesel (ANP, 2018), therefore, those emission factors are adjusted for emissions from burning biodiesel.;The impact of the 12% biodiesel blend in exhaust emissions is accounted for by correction factors derived from USEPA (2002). Correction factors were calculated for the emissions of nitrogen oxides, particulate matter, hydrocarbons, carbon monoxide, acetaldehyde, ethylbenzene, formaldehyde, naphthalene and xylene. Moreover, fuel consumption was corrected with energy content values. For conventional diesel, it was considered energy content of 129.500 Btu/gal, animal-based biodiesel 115.720 Btu/gal and plant-based biodiesel 119.216 Btu/gal (USEPA 2002).;Fuel dependent emissions were updated as well. In Brazil, diesel containing 10 ppm (S10) of sulphur was introduced to attend to the demand of EURO V lorries, as its post-treatment technologies require the use of ultra-low sulphur diesel. Diesel containing 500 ppm (S500) of sulphur is also commercialized for the remaining lorry emission categories. For these cases, the use of S500 is assumed as no information on the share of S500 and S10 diesel used by these categories was available and because the price of S500 is lower than for the S10 (CNT, 2021). Therefore, sulphur dioxide emissions derived from S500 combustion were corrected assuming that all sulphur is emitted as SO2 (0.001 kg SO2/kg fossil diesel) and to account for the blend of biodiesel (12 %), which does not contain sulphur. Carbon dioxide emission is dependent on the fuel carbon content, which was considered as 77.8% for plant-based biodiesel and 76.1 % for animal-based biodiesel, resulting in a Brazilian average of 77.5%, while conventional diesel has 86.7% of carbon (USEPA, 2002). This results in emissions of 3.18 kg of fossil CO2/kg diesel and 2.84 biogenic CO2/kg biodiesel. ;This dataset was developed under the Cornerstone project, an initiative from the Brazilian Business Network on Life cycle Assessment (Rede ACV) in collaboration with ecoinvent to increase the quantity and quality of inventories that represent Brazil, through a thorough adaptation of the datasets. More information about this project is available in redeacv.org.br/en/wg-database/. Technical background is provided in Valebona F.; Rocha T.B.; Motta F. L. Cornerstone Project. Recontextualization of Datasets: Methodology. ACV Brasil, Brazil.;Main data sources for the recontextualization:;ANP, 2018. Agência Nacional do Petróleo, Gás Natural e Biocombustíveis (2018). RANP 764. RESOLUÇÃO ANP Nº 764, DE 20.12.2018 - DOU 21.12.2018.;EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil.;Stukart, B., Lima, C., Pacheco, C., Silva, F., Antoniasse, G., Cavalcanti, M., Souza, M., Stelling, P. (2018). Transporte Rodoviário Brasileiro, Transição para Óleo Diesel S10 e Desafios para o Refino Nacional. Rio Oil&Gas. Available at: https://stt.ibp.org.br/eventos/2018/riooil2018/pdfs/Riooil2018_1654_201806222325ibp1654_1 8_transic.pdf. Acessed in: 06/06/2020.;CETESB (2019). Companhia Ambiental do Estado de São Paulo (2019). Emissões Veiculares no Estado de São Paulo. Governo do Estado de São Paulo. Available at: https://cetesb.sp.gov.br/veicular/relatoriose-publicacoes/. Accessed in 15/06/2020.;USEPA, 2002. United States Environmental Protection Agency (2002). A Comprehensive Analysis of Biodiesel Impacts on Exhaust Emissions. Draft Technical Report.;Novo, A. L. (2016). PERSPECTIVAS PARA O CONSUMO DE COMBUSTÍVEL NO TRANSPORTE DE CARGA NO BRASIL: UMA COMPARAÇÃO ENTRE OS EFEITOS ESTRUTURA E INTENSIDADE NO USO FINAL DE ENERGIA DO SETOR. Available at: http://www.ppe.ufrj.br/images/publica%C3%A7%C3%B5es/mestrado/Ana_Luiza_Andrade_Novo.pdf;CNT (2021). CNT acompanha, com atenção, a alta histórica do diesel. Available at: cnt.org.br/agencia-cnt/cnt-acompanha-alta-historica-do-diesel From combustion of fuel in the engine. The dataset takes as input the infrastructure of the lorry and road network, the materials and efforts needed for maintenance of these and the fuel consumed in the vehicle for the journey. The activity ends with the transport service of 1tkm and the emissions of exhaust and non-exhaust emissions into air, water and soil.
Copyright Yes
Quantitative reference
Reference flow(s)
Time representativeness
Data set valid until 2023
Time representativeness description Validity period of the 12% biodiesel blend regulation. The regulation foresees incremental increases in the biodiesel content in the Brazilian market fuel (it started with a 2% blend in 2008, reached 12% in 2020 and will increase 1% a year, until it reaches 15% in 2023).
Technological representativeness
Technology description including background system Diesel and diesel engine. Lorry transport is further differentiated with respect to vehicle weight and emission technology standard (EURO-standard). ;Technology classifications are based on those used widely within the works of the European Environment Agency, particularly in the Emissions Inventory Guidebook.
LCI method and allocation
Type of data set Unit process, black box
LCI Method Principle Other
Data sources, treatment and representativeness
Data treatment and extrapolations principles Apart from particulate matter, carbon monoxide, sulfur dioxide, and carbon dioxide, exhaust emissions are extrapolated from an original dataset covering the geography ZA. Infrastructure and maintenance information are also extrapolated from the geography ZA. Fuel use and emission factors were adapted considering the 12% biodiesel blend, however original emission factors references are from earlier periods. The uncertainty has been adjusted accordingly.
Data source(s) used for this data set
Sampling procedure Literatura data is used to update regulated exhaust emissions and freight load factors. Furthermore, correction factors are used to consider the impact of biodiesel blend on exhaust emissions. Refer to General Comment section for detailed recontextualization methodology.
Completeness
Completeness of product model No statement
Data generator
Data set generator / modeller
Data entry by
Time stamp (last saved) 2024-10-18T12:53:31.504000-03:00
Data set format(s)
Data entry by
Publication and ownership
UUID 7d318dc2-a821-48bd-a8df-743a71b8754a
Date of last revision 2024-10-17T19:57:17.841000-03:00
Data set version 00.00.017
Unchanged re-publication of
Copyright Yes

Inputs

Type of flow Classification Flow Location Mean amount Resulting amount Minimum amount Maximum amount
Product flow
E:Water supply; sewerage, waste management and remediation activities / 38:Waste collection, treatment and disposal activities; materials recovery / 383:Materials recovery / 3830:Materials recovery RoW 0.004305554 kg0.004305554 kg
General comment Fuel consumption data extrapolated from the original dataset covering the South African region. Corrected to account for 12% biodiesel blend accordind to fuels energy content. For conventional diesel, it was considered energy content of 129.500 Btu/gal, for animal-based biodiesel 115.720 Btu/gal and for plant-based biodiesel 119.216 Btu/gal (USEPA, 2002). Final value is influenced by the updated freight load factor form EPE (2020). References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil. USEPA, 2002. United States Environmental Protection Agency (2002). A Comprehensive Analysis of Biodiesel Impacts on Exhaust Emissions. Draft Technical Report.
Product flow
C:Manufacturing / 29:Manufacture of motor vehicles, trailers and semi-trailers / 291:Manufacture of motor vehicles / 2910:Manufacture of motor vehicles RoW 2.38792E-7 Item(s)2.38792E-7 Item(s)
General comment Data extrapolated from the original dataset covering the South African region. Final value is influenced by the updated freight load factor form EPE (2020). References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil.
Product flow
G:Wholesale and retail trade; repair of motor vehicles and motorcycles / 45:Wholesale and retail trade and repair of motor vehicles and motorcycles / 452:Maintenance and repair of motor vehicles / 4520:Maintenance and repair of motor vehicles GLO 2.38792E-7 Item(s)2.38792E-7 Item(s)
General comment Data extrapolated from the original dataset covering the South African region. Final value is influenced by the updated freight load factor form EPE (2020). References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil.
Product flow
F:Construction / 42:Civil engineering / 421:Construction of roads and railways / 4210:Construction of roads and railways GLO 0.001715398 m*a0.001715398 m*a
General comment Data extrapolated from the original dataset covering the South African region. References: Notten et al. (2018). Life Cycle Inventories of Road Freight - India and South Africa for the SRI project.
Product flow
F:Construction / 42:Civil engineering / 421:Construction of roads and railways / 4210:Construction of roads and railways RoW 4.15076E-4 m*a4.15076E-4 m*a
General comment Data extrapolated from the original dataset covering the South African region. Final value is influenced by the updated freight load factor form EPE (2020). References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil.
Product flow C:Manufacturing / 19:Manufacture of coke and refined petroleum products / 192:Manufacture of refined petroleum products / 1920:Manufacture of refined petroleum products CL 0.031574 kg0.031574 kg

Outputs

Type of flow Classification Flow Location Mean amount Resulting amount Minimum amount Maximum amount
Product flow H:Transportation and storage / 49:Land transport and transport via pipelines / 492:Other land transport / 4923:Freight transport by road CL 1.0 t*km1.0 t*km
Waste flow
E:Water supply; sewerage, waste management and remediation activities / 38:Waste collection, treatment and disposal activities; materials recovery / 382:Waste treatment and disposal / 3821:Treatment and disposal of non-hazardous waste GLO 1.86161264516129E-5 kg1.86161264516129E-5 kg
General comment Road freight specific non-exhaust emissions. Brake wear emissions calculation was updated with Brazilian Gross Vehicle Weight (GVW). The linear relation 8.13E-9 kg/kg GVW*km was considered as in the original dataset for the RER region. The GVW of the Brazilian 16-32t lorries using an average load factor is 17746 kg. The GVW was calculated from the original RER value according to the updated load factor from EPE (2020). The calculated emission is normalized by the average payload, according to the reference flow. References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil. Ntziachristos, L., et al. (2013) EMEP/EEA air pollutant emissions inventory guidebook 2009: Exhaust emissions from road transport. European Environment Agency, Copenhagen, DK.
Waste flow
E:Water supply; sewerage, waste management and remediation activities / 38:Waste collection, treatment and disposal activities; materials recovery / 382:Waste treatment and disposal / 3821:Treatment and disposal of non-hazardous waste GLO 1.60286451612903E-5 kg1.60286451612903E-5 kg
General comment Road freight specific non-exhaust emissions. Road wear emissions calculation was updated with Brazilian Gross Vehicle Weight (GVW). The linear relation 7.0E-9 kg/kg GVW*km was considered as in the original dataset for the RER region. The GVW of the Brazilian 16-32t lorries using an average load factor is 17746 kg. The GVW was calculated from the original RER value according to the updated load factor from EPE (2020). The calculated emission is normalized by the average payload, according to the reference flow. References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil. Ntziachristos, L., et al. (2013) EMEP/EEA air pollutant emissions inventory guidebook 2009: Exhaust emissions from road transport. European Environment Agency, Copenhagen, DK.
Waste flow
E:Water supply; sewerage, waste management and remediation activities / 38:Waste collection, treatment and disposal activities; materials recovery / 382:Waste treatment and disposal / 3821:Treatment and disposal of non-hazardous waste GLO 1.84443909677419E-4 kg1.84443909677419E-4 kg
General comment Road freight specific non-exhaust emissions. Tyre wear emissions calculation was updated with Brazilian Gross Vehicle Weight (GVW). The linear relation 8.055E-8 kg/kg GVW*km was considered as in the original dataset for the RER region. The GVW of the Brazilian 16-32t lorries using an average load factor is 17746 kg. The GVW was calculated from the original RER value according to the updated load factor from EPE (2020). The calculated emission is normalized by the average payload, according to the reference flow. References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil. Ntziachristos, L., et al. (2013) EMEP/EEA air pollutant emissions inventory guidebook 2009: Exhaust emissions from road transport. European Environment Agency, Copenhagen, DK.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 3.55189E-12 kg3.55189E-12 kg
General comment Data extrapolated from the original dataset covering the South African region. Final value is influenced by the updated freight load factor form EPE (2020). References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 8.38732E-7 kg8.38732E-7 kg
General comment Data extrapolated from the original dataset covering the South African region. Correction factor applied to account the impact of the biodiesel blend on exhaust emission according to USEPA (2002). Final value is influenced by the updated freight load factor form EPE (2020). References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil. USEPA, 2002. United States Environmental Protection Agency (2002). A Comprehensive Analysis of Biodiesel Impacts on Exhaust Emissions. Draft Technical Report.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 3.09014E-10 kg3.09014E-10 kg
General comment Data extrapolated from the original dataset covering the RER region. Final value is influenced by the updated freight load factor form EPE (2020). References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 0.100047871 kg0.100047871 kg
General comment Calculated value based on the fuel carbon content, which was considered as 77.8% for plant-based biodiesel and 76.1 % for animal-based biodiesel, resulting in a Brazilian average of 77.5%, while conventional diesel has 86.7% of carbon (USEPA, 2002). This results in emissions of 3.18 kg fossil CO2/kg diesel and 2.84 biogenic CO2/kg biodiesel.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 0.012137814 kg0.012137814 kg
General comment Calculated value based on the fuel carbon content, which was considered as 77.8% for plant-based biodiesel and 76.1 % for animal-based biodiesel, resulting in a Brazilian average of 77.5%, while conventional diesel has 86.7% of carbon (USEPA, 2002). This results in emissions of 3.18 kg fossil CO2/kg diesel and 2.84 biogenic CO2/kg biodiesel.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 2.07504E-4 kg2.07504E-4 kg
General comment Measured data from emission testing of the national vehicle fleet production and imports, weighted by sales amounts (CETESB, 2019). Correction factor applied to account the impact of the biodiesel blend on exhaust emission according to USEPA (2002). Value representing the fossil emission share. Final value is influenced by the updated freight load factor form EPE (2020). References: CETESB (2019). Companhia Ambiental do Estado de São Paulo (2019). Emissões Veiculares no Estado de São Paulo. Governo do Estado de São Paulo. Available at: https://cetesb.sp.gov.br/veicular/relatoriose-publicacoes/. Accessed in 15/06/2020. EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil. USEPA, 2002. United States Environmental Protection Agency (2002). A Comprehensive Analysis of Biodiesel Impacts on Exhaust Emissions. Draft Technical Report.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 6.42849E-5 kg6.42849E-5 kg
General comment Measured data from emission testing of the national vehicle fleet production and imports, weighted by sales amounts (CETESB, 2019). Correction factor applied to account the impact of the biodiesel blend on exhaust emission according to USEPA (2002). Value representing the biogenic emission share. Final value is influenced by the updated freight load factor form EPE (2020). References: CETESB (2019). Companhia Ambiental do Estado de São Paulo (2019). Emissões Veiculares no Estado de São Paulo. Governo do Estado de São Paulo. Available at: https://cetesb.sp.gov.br/veicular/relatoriose-publicacoes/. Accessed in 15/06/2020. EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil. USEPA, 2002. United States Environmental Protection Agency (2002). A Comprehensive Analysis of Biodiesel Impacts on Exhaust Emissions. Draft Technical Report.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 1.06556E-9 kg1.06556E-9 kg
General comment Data extrapolated from the original dataset covering the South African region. Final value is influenced by the updated freight load factor form EPE (2020). References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 2.13114E-12 kg2.13114E-12 kg
General comment Data extrapolated from the original dataset covering the South African region. Final value is influenced by the updated freight load factor form EPE (2020). References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 7.53E-10 kg7.53E-10 kg
General comment Data extrapolated from the original dataset covering the South African region. Final value is influenced by the updated freight load factor form EPE (2020). References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 1.16053E-6 kg1.16053E-6 kg
General comment Data extrapolated from the original dataset covering the RER region. Final value is influenced by the updated freight load factor form EPE (2020). References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 1.88251E-10 kg1.88251E-10 kg
General comment Data extrapolated from the original dataset covering the South African region. Final value is influenced by the updated freight load factor form EPE (2020). References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 1.20536E-6 kg1.20536E-6 kg
General comment Data extrapolated from the original dataset covering the South African region. Correction factor applied to account the impact of the biodiesel blend on exhaust emission according to USEPA (2002). Final value is influenced by the updated freight load factor form EPE (2020). References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil. USEPA, 2002. United States Environmental Protection Agency (2002). A Comprehensive Analysis of Biodiesel Impacts on Exhaust Emissions. Draft Technical Report.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 4.9018E-5 kg4.9018E-5 kg
General comment Data extrapolated from the original dataset covering the South African region. Correction factor applied to account the impact of the biodiesel blend on exhaust emission according to USEPA (2002). Final value is influenced by the updated freight load factor form EPE (2020). References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil. USEPA, 2002. United States Environmental Protection Agency (2002). A Comprehensive Analysis of Biodiesel Impacts on Exhaust Emissions. Draft Technical Report.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 3.12566E-10 kg3.12566E-10 kg
General comment Data extrapolated from the original dataset covering the South African region. Final value is influenced by the updated freight load factor form EPE (2020). References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 1.3318E-5 kg1.3318E-5 kg
General comment Measured data from emission testing of the national vehicle fleet production and imports, weighted by sales amounts (CETESB, 2019). Correction factor applied to account the impact of the biodiesel blend on exhaust emission according to USEPA (2002). Final value is influenced by the updated freight load factor form EPE (2020). References: CETESB (2019). Companhia Ambiental do Estado de São Paulo (2019). Emissões Veiculares no Estado de São Paulo. Governo do Estado de São Paulo. Available at: https://cetesb.sp.gov.br/veicular/relatoriose-publicacoes/. Accessed in 15/06/2020. EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil. USEPA, 2002. United States Environmental Protection Agency (2002). A Comprehensive Analysis of Biodiesel Impacts on Exhaust Emissions. Draft Technical Report.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 3.55189E-12 kg3.55189E-12 kg
General comment Data extrapolated from the original dataset covering the South African region. Final value is influenced by the updated freight load factor form EPE (2020). References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil.
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified CL 6.17317E-8 kg6.17317E-8 kg
General comment Data extrapolated from the original dataset covering the South African region. Final value is influenced by the updated freight load factor form EPE (2020). References: EPE, 2020. Energy Research Enterprise (2020). Integrated Transport Model. Consultation through Information to Citizen System. Federal Government of Brazil.
Elementary flow Emissions / Emissions to air / Emissions to air, unspecified CL 3.86843E-7 kg3.86843E-7 kg
Elementary flow Emissions / Emissions to air / Emissions to air, unspecified CL 2.94421E-4 kg2.94421E-4 kg
Elementary flow Emissions / Emissions to air / Emissions to air, unspecified CL 3.15741E-5 kg3.15741E-5 kg