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Processoepd.additionalLciaResults = Indicadores adicionais de impacto ambientalConjunto de dados: transport, freight, lorry >32 metric ton, EURO5 (br) en

Informações sobre o conjunto de dados-chave
Localização BR
Descrição da representatividade geográfica Recontextualization from 'transport, freight, lorry >32 metric ton, EURO5, RER'. Fuel type, freight load, 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.
Ano de referência 2020
Nome
transport, freight, lorry >32 metric ton, EURO5
Objetivo técnico do produto ou processo 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.
Classificação
Nome da classe : Nível hierárquico
  • ISIC rev.4 ecoinvent: H.Transportation and storage / 49:Land transport and transport via pipelines / 492:Other land transport / 4923:Freight transport by road
Comentário geral sobre o conjunto de dados Type of process: ordinary transforming activity; Parent relation Ecospold2: none; Tags: ; Macroeconomic Scenario: Business-as-Usual; This dataset is an adaptation of “transport, freight, lorry >32 metric ton, EURO5” in Europe, 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 >32 metric tons gross vehicle weight (GVW) and Euro 5 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 10 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 larger than 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) larger 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 65.2 % 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 27.2 ton (Novo, 2016), resulting in an average freight load of 17.7 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 35 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. EURO V lorries are fuelled with 10 ppm sulfur content diesel (blended with 12% biodiesel). Therefore, sulphur dioxide emissions were corrected assuming that all sulphur is emitted as SO2 (0.00002 kg SO2/kg fossil diesel) and to account for the blend of biodiesel, 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 Comment for road maintenance: Calculated value based demand factors and underlying assumptions for European road transport services. Values are based on total vkm of all road transport services (RER) and the relative shares of each specific form (e.g. 3.5-7.5t lorry). The value per tkm is then based on the average load factor (see Activity Description). Transport performance data is derived from TREMOVE (2009). 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. De Ceuster, G., et al. (2009) TREMOVE: Final Report. Model code v2.7b, 2009. European Commission, Brussels. Comment for maintenance, lorry 16 metric ton: Calculated value based on lifetime vkm (540 000 for all lorry sizes) and average load factors (see Activity Description). 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. Spielmann, M., et al. (2007) Transport Services. ecoinvent report No. 14., Swiss Centre for Life Cycle Inventories, Dübendorf, CH. Comment for fatty acid methyl ester: Fuel consumption data extrapolated from the original dataset covering the RER 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. Keller, M. et al. (2010) Handbook emission factors for road transport v3.1, HBEFA. INFRAS, Berne, CH. USEPA, 2002. United States Environmental Protection Agency (2002). A Comprehensive Analysis of Biodiesel Impacts on Exhaust Emissions. Draft Technical Report. Comment for road: Calculated value based demand factors and underlying assumptions for European road transport services. Values are based on total tkm of all road transport services (RER) and the relative shares of each specific form (i.e. 3.5-7.5t lorry). The value per tkm is then based on the net vehicle weight plus averge load factor (see Activity Description). Transport performance data is derived from TREMOVE (2009). Data extrapolated from the original dataset covering the RER region. References: Spielmann, M., et al. (2007) Transport Services. ecoinvent report No. 14., Swiss Centre for Life Cycle Inventories, Dübendorf, CH. Comment for [variable] brake_emissions: 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 >32t lorries using an average load factor is 34981.9 kg. The GVW was estimated from the original RER value according to the updated freight load 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. ; Annual prod. brake wear emissions, lorry:5122252.38540015kg Comment for brake wear emissions, lorry: 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 >32t lorries using an average load factor is 34981.9 kg. The GVW was estimated from the original RER value according to the updated freight load 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. Comment for [variable] road_emissions: 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 >32t lorries using an average load factor is 34981.9 kg. The GVW was estimated from the original RER value according to the updated freight load 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. ; Annual prod. road wear emissions, lorry:4410303.40686358kg Comment for road wear emissions, lorry: 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 >32t lorries using an average load factor is 34981.9 kg. The GVW was estimated from the original RER value according to the updated freight load 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. Comment for [variable] tyre_emissions: 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 >32t lorries using an average load factor is 34981.9 kg. The GVW was estimated from the original RER value according to the updated freight load 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. ; Annual prod. tyre wear emissions, lorry:50749991.3461232kg Comment for tyre wear emissions, lorry: 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 >32t lorries using an average load factor is 34981.9 kg. The GVW was estimated from the original RER value according to the updated freight load 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. Comment for diesel, low-sulfur: Literature value. Derived from HBEFA database (Keller, 2010). Data extrapolated from the original dataset covering the RER 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. Keller, M. et al. (2010) Handbook emission factors for road transport v3.1, HBEFA. INFRAS, Berne, CH. USEPA, 2002. United States Environmental Protection Agency (2002). A Comprehensive Analysis of Biodiesel Impacts on Exhaust Emissions. Draft Technical Report. Comment for lorry, 16 metric ton: Calculated value based on lifetime vkm (540 000 for all lorry sizes) and average load factors (see Activity Description). 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. Spielmann, M., et al. (2007) Transport Services. ecoinvent report No. 14., Swiss Centre for Life Cycle Inventories, Dübendorf, CH. Comment for [variable] transport_RP_PV: Production volume retrieved from the Brazilian National Logistic Plan -2025 (EPL, 2018), which reports the amount of 1,548 billion tonne.km of freight transported by lorries in 2015. The split among lorry size categories has been calculated according to fleet sizes, annual mileages and freight loads. The average annual mileage accounts for the annual mileage decay according to the fleet age of each size class (CETESB, 2019). Furthermore, the shares of emission regulation classes are estimated according to their respective fleet size reported for the state of São Paulo in 2018 (CETESB, 2019). 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: cetesb.sp.gov.br/veicular/relatoriose-publicacoes/. [Accessed on 15/06/2020] EPL (2018). Plano Nacional de Logística. PNL - 2025. Relatório Executivo. Available at: epl.gov.br/transporte-inter-regional-de-carga-no-brasil-panorama-2015 [Accessed on 24/05/2021] Comment for ethane: Data extrapolated from the original dataset covering the RER 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. Comment for heptane: Data extrapolated from the original dataset covering the RER 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. Comment for polycyclic aromatic hydrocarbons: Literature value. PAH's per kg fuel use provided by the EMEP/EEA (2013) guidebook. 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. Ntziachristos, L., et al. (2013) EMEP/EEA air pollutant emissions inventory guidebook 2009: Exhaust emissions from road transport. European Environment Agency, Copenhagen, DK. Comment for chromium VI: Estimated value. Fuel dependant emissions - heavy metal in fuel. Estimated using the underlying assumption that 0.2% of the emitted Cr is emitted as Cr(IV). Fuel dependant emissions - heavy metal in fuel. Literature value for Cr. EMEP/EEA (2013) Tab. 3-100. 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. Ntziachristos, L., et al. (2013) EMEP/EEA air pollutant emissions inventory guidebook 2009: Exhaust emissions from road transport. European Environment Agency, Copenhagen, DK. Comment for mercury: Literature value. Fuel dependant emissions - heavy metal in fuel. Literature value. EMEP/EEA (2013) Tab. 3-100. 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. Ntziachristos, L., et al. (2013) EMEP/EEA air pollutant emissions inventory guidebook 2009: Exhaust emissions from road transport. European Environment Agency, Copenhagen, DK. Comment for propane: Data extrapolated from the original dataset covering the RER 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. Comment for sulfur dioxide: Calculated value based on fuel sulphur content. EURO5 lorries are fuelled with 10 ppm sulphur content fossil diesel blended with 12% biodiesel, which does not contribute to sulphur emissions. References: MMA, 2014. Ministry of Environment (2014). Inventário Nacional de Emissões Atmosféricas por Veículos Automotores Rodoviários. Available at: http://www.antt.gov.br/backend/galeria/arquivos/inventario_de_emissoes_por_veiculos_rodov iarios_2013.pdf. Accessed in: 10/06/2020. Comment for formaldehyde: Data extrapolated from the original dataset covering the RER 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. Comment for chromium: Literature value. Fuel dependant emissions - heavy metal in fuel. Literature value. EMEP/EEA (2013) Tab. 3-100. 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. Ntziachristos, L., et al. (2013) EMEP/EEA air pollutant emissions inventory guidebook 2009: Exhaust emissions from road transport. European Environment Agency, Copenhagen, DK. Comment for zinc: Literature value. Fuel dependant emissions - heavy metal in fuel. Literature value. EMEP/EEA (2013) Tab. 3-100. 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. Ntziachristos, L., et al. (2013) EMEP/EEA air pollutant emissions inventory guidebook 2009: Exhaust emissions from road transport. European Environment Agency, Copenhagen, DK. Comment for ammonia: Literature value. Derived from HBEFA database (Keller, 2010). 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. Keller, M. et al. (2010) Handbook emission factors for road transport v3.1, HBEFA. INFRAS, Berne, CH. Comment for benzene: Data extrapolated from the original dataset covering the RER 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. Comment for selenium: Literature value. Fuel dependant emissions - heavy metal in fuel. Literature value. EMEP/EEA (2013) Tab. 3-100. 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. Ntziachristos, L., et al. (2013) EMEP/EEA air pollutant emissions inventory guidebook 2009: Exhaust emissions from road transport. European Environment Agency, Copenhagen, DK. Comment for carbon monoxide, non-fossil: 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. Comment for lead: Literature value. Fuel dependant emissions - heavy metal in fuel. Literature value. EMEP/EEA (2013) Tab. 3-100. 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. Ntziachristos, L., et al. (2013) EMEP/EEA air pollutant emissions inventory guidebook 2009: Exhaust emissions from road transport. European Environment Agency, Copenhagen, DK. Comment for styrene: Data extrapolated from the original dataset covering the RER 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. Comment for particles (PM2.5): 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. Comment for nickel: Literature value. Fuel dependant emissions - heavy metal in fuel. Literature value. EMEP/EEA (2013) Tab. 3-100. 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. Ntziachristos, L., et al. (2013) EMEP/EEA air pollutant emissions inventory guidebook 2009: Exhaust emissions from road transport. European Environment Agency, Copenhagen, DK. Comment for carbon monoxide, fossil: 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. Comment for acetaldehyde: Data extrapolated from the original dataset covering the RER 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. Comment for pentane: Data extrapolated from the original dataset covering the RER 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. Comment for non-methane volatile organic compounds: Data extrapolated from the original dataset covering the RER 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. Comment for toluene: Data extrapolated from the original dataset covering the RER 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. Comment for nitrous oxide: Literature value. Derived from HBEFA database (Keller, 2010). 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. Keller, M. et al. (2010) Handbook emission factors for road transport v3.1, HBEFA. INFRAS, Berne, CH. Comment for o-xylene: Data extrapolated from the original dataset covering the RER 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. Comment for n-butane: Data extrapolated from the original dataset covering the RER 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. Comment for nitrogen oxides: 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. Comment for acrolein: Data extrapolated from the original dataset covering the RER 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. Comment for arsenic: Literature value. Fuel dependant emissions - heavy metal in fuel. Literature value. EMEP/EEA (2013) Tab. 3-100. 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. Ntziachristos, L., et al. (2013) EMEP/EEA air pollutant emissions inventory guidebook 2009: Exhaust emissions from road transport. European Environment Agency, Copenhagen, DK. Comment for copper: Literature value. Fuel dependant emissions - heavy metal in fuel. Literature value. EMEP/EEA (2013) Tab. 3-100. 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. Ntziachristos, L., et al. (2013) EMEP/EEA air pollutant emissions inventory guidebook 2009: Exhaust emissions from road transport. European Environment Agency, Copenhagen, DK. Comment for methane (fossil): Data extrapolated from the original dataset covering the RER 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. Comment for m-xylene: Data extrapolated from the original dataset covering the RER 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. Comment for cadmium: Literature value. Fuel dependant emissions - heavy metal in fuel. Literature value. EMEP/EEA (2013) Tab. 3-100. 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. Ntziachristos, L., et al. (2013) EMEP/EEA air pollutant emissions inventory guidebook 2009: Exhaust emissions from road transport. European Environment Agency, Copenhagen, DK. Comment for benzaldehyde: Data extrapolated from the original dataset covering the RER 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.
Direitos autorais Sim
Relatório do conjunto de dados LCA, informações de fundo
Referência quantitativa
Fluxo(s) de referência
Representatividade de tempo
Conjunto de dados válido até 2021
Descrição da representatividade de tempo Data is valid for the entire period. 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).
Representatividade tecnológica
Descrição da tecnologia, incluindo sistema de fundo The technology level of this process is: Modern; ; 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.; Included activities start: 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. Included activities end: The activity ends with the transport service of 1tkm and the emissions of exhaust and non-exhaust emissions into air, water and soil.
Modelo matemático
Variável / parâmetro Fórmula Valor médio Valor mínimo Valor máximo Tipo de distribuição de incertezas StdDev relativo em % Comentário geral
brake_emissions (8.13e-9*34981.9)/17.74 1.60317275648253E-5 % Variable comment placed in dataset's general comment for passing the number of characters
pvl[kg]_b0290841_8ca6_4663_a925_510cdd8b0ee9 brake_emissions*transport_RP_PV 5122252.38540015 % Calculated from production volume of reference product using the relative outputs.
brake_emissions_DM 1.0 %
brake_emissions_WM 1.0 %
road_emissions (7.0e-9*34981.9)/17.74 1.38034554678692E-5 % Variable comment placed in dataset's general comment for passing the number of characters
pvl[kg]_91e833f1_d4ad_4800_bf62_f908bb5f2714 road_emissions*transport_RP_PV 4410303.40686358 % Calculated from production volume of reference product using the relative outputs.
road_emissions_DM 1.0 %
road_emissions_WM 1.0 %
tyre_emissions (8.055e-8*34981.9)/17.74 1.58838333990981E-4 % Variable comment placed in dataset's general comment for passing the number of characters
pvl[kg]_0799bb32_12fa_4022_9db6_351afedab358 tyre_emissions*transport_RP_PV 5.07499913461232E7 % Calculated from production volume of reference product using the relative outputs.
tyre_emissions_DM 1.0 %
tyre_emissions_WM 1.0 %
transport_RP_PV 1548000000000*0.645*0.32 3.195072E11 % Variable comment placed in dataset's general comment for passing the number of characters
Método LCI e alocação
Tipo de conjunto de dados Unit process, black box
Princípio do Método LCI Not applicable
Desvio do princípio do método LCI / explicações System model: Undefined
O método LCI se aproxima
  • Not applicable
Fontes de dados, tratamento e representatividade
Princípios de corte e completude de dados None
Seleção de dados e princípios de combinação None
Princípios de tratamento de dados e extrapolações Apart from particulate matter, carbon monoxide, sulfur dioxide, and carbon dioxide, exhaust emissions are extrapolated from an original dataset covering the geography RER. Infrastructure and maintenance information are also extrapolated from the geography RER. 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.
Porcentagem de fornecimento ou produção coberta 100 %
Volume anual de fornecimento ou produção Annual prod. transport, freight, lorry >32 metric ton, EURO5:319507200000metric ton*km
Procedimento de amostragem 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.
Ajustes de incerteza Uncertainties calculated using a basic uncertainty (or informed) and a Pedigree Matrix additional uncertainty (log-normal) as it is in the standard procedure on Ecospold2 datasets (ecoinvent association)
Integralidade
Completude do modelo do produto All relevant flows quantified
Validação
Detalhes da revisão
Date of last review: 2021-05-10; Major version: 3.0; Minor version: 0.112
Comentários de revisão subseqüente
Validation warnings: - Mass and/or economic deficit in activity dataset exceeds either 0.1% of input or output sum: Property 'wet mass': - Input='0.017420451', Output='0.0549829952406896' - Input < output by 0.0375625442406896 kg (68.32% of output) Property 'carbon content, non-fossil': - Input='0.001530212328', Output='0.00162229391728063' - Input < output by 9.20815892806299E-05 kg (5.68% of output) Property 'carbon content, fossil': - Input='0.013346156019', Output='0.0134220479250826' - Input < output by 7.58919060825734E-05 kg (0.57% of output) Property 'dry mass': - Input='0.017420451', Output='0.0549829952406896' - Input < output by 0.0375625442406896 kg (68.32% of output) Property 'price': - Input='0', Output='0.0156630785770337' - Input < output by 0.0156630785770337 EUR2005 (100% of output) - Amount of property 'carbon content, fossil=0.905061252324' of exchange 'o-Xylene' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.905061252324' of exchange 'm-Xylene' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.798878869185' of exchange 'Ethane' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.839057986085' of exchange 'Heptane' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.642710066467' of exchange 'Acrolein' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.92257895036' of exchange 'Styrene' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.826586194201' of exchange 'Butane' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.832359902138' of exchange 'Pentane' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.792252160773' of exchange 'Benzaldehyde' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.545295729069' of exchange 'Acetaldehyde' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.92257895036' of exchange 'Benzene' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.476031415933' of exchange 'PAH, polycyclic aromatic hydrocarbons' deviates from the default amount in the master file. Amount of property 'carbon content, non-fossil=0.476031415933' of exchange 'PAH, polycyclic aromatic hydrocarbons' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.748686634968' of exchange 'Methane, fossil' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.272916486782' of exchange 'Carbon dioxide, fossil' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.427024457774' of exchange 'NMVOC, non-methane volatile organic compounds, unspecified origin' deviates from the default amount in the master file. Amount of property 'carbon content, non-fossil=0.427024457774' of exchange 'NMVOC, non-methane volatile organic compounds, unspecified origin' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.40001625243' of exchange 'Formaldehyde' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.912486710516' of exchange 'Toluene' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.92257895036' of exchange 'Particulates, < 2.5 um' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.817139311674' of exchange 'Propane' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.42880501528' of exchange 'Carbon monoxide, fossil' deviates from the default amount in the master file. - Uncertainty shall always be provided for all primary data inputs (exchange amounts, properties and parameters), except for the amount and properties of reference products. -- Property(ies): carbon content, non-fossil=0, price=0, dry mass=1, wet mass=1, price=0, carbon content, non-fossil=0, dry mass=1, wet mass=1, price=0, carbon content, non-fossil=0, wet mass=1, dry mass=1, water content=0, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0.905061252324, dry mass=1, water in wet mass=0, carbon content, fossil=0.905061252324, carbon content, non-fossil=0, water content=0, dry mass=1, wet mass=1, dry mass=1, water content=0, wet mass=1, water in wet mass=0, carbon content, fossil=0.798878869185, carbon content, non-fossil=0, carbon content, fossil=0.839057986085, dry mass=1, water in wet mass=0, carbon content, non-fossil=0, wet mass=1, water content=0, dry mass=1, water in wet mass=0, carbon content, non-fossil=0, carbon content, fossil=0.642710066467, wet mass=1, water content=0, water content=0, carbon content, non-fossil=0, wet mass=1, water in wet mass=0, dry mass=1, carbon content, fossil=0.92257895036, carbon content, non-fossil=0, dry mass=1, wet mass=1, water in wet mass=0, water content=0, carbon content, fossil=0.826586194201, carbon content, fossil=0.832359902138, wet mass=1, water in wet mass=0, water content=0, carbon content, non-fossil=0, dry mass=1, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, carbon content, fossil=0, dry mass=1, water content=0, dry mass=1, carbon content, non-fossil=0, water content=0, wet mass=1, carbon content, fossil=0, water in wet mass=0, water in wet mass=0, dry mass=1, carbon content, fossil=0.792252160773, wet mass=1, water content=0, carbon content, non-fossil=0, water content=0, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, wet mass=1, carbon content, fossil=0, carbon content, fossil=0, carbon content, non-fossil=0, wet mass=1, water content=0, dry mass=1, water in wet mass=0, water content=0, carbon content, non-fossil=0, dry mass=1, carbon content, fossil=0, wet mass=1, water in wet mass=0, wet mass=1, dry mass=1, carbon content, non-fossil=0, carbon content, fossil=0, water content=0, water in wet mass=0, water in wet mass=0, wet mass=1, carbon content, non-fossil=0, carbon content, fossil=0, water content=0, dry mass=1, dry mass=1, water in wet mass=0, wet mass=1, carbon content, non-fossil=0, water content=0, carbon content, fossil=0.545295729069, carbon content, non-fossil=0, water content=0, dry mass=1, carbon content, fossil=0.92257895036, water in wet mass=0, wet mass=1, carbon content, fossil=0, wet mass=1, water in wet mass=0, dry mass=1, water content=0, carbon content, non-fossil=0, water content=0, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, carbon content, fossil=0, dry mass=1, carbon content, non-fossil=0.476031415933, dry mass=1, wet mass=1, water in wet mass=0, water content=0, carbon content, fossil=0.476031415933, carbon content, fossil=0.748686634968, dry mass=1, carbon content, non-fossil=0, water content=0, water in wet mass=0, wet mass=1, water content=0, wet mass=1, carbon content, fossil=0.272916486782, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, water in wet mass=0, wet mass=1, water content=0, carbon content, fossil=0.427024457774, dry mass=1, carbon content, non-fossil=0.427024457774, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, carbon content, fossil=0.40001625243, water content=0, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, dry mass=1, water content=0, carbon content, fossil=0, dry mass=1, wet mass=1, water in wet mass=0, water content=0, carbon content, non-fossil=0, carbon content, fossil=0, water in wet mass=0, dry mass=1, water content=0, carbon content, fossil=0.912486710516, wet mass=1, carbon content, non-fossil=0, dry mass=1, carbon content, non-fossil=0, water content=0, wet mass=1, water in wet mass=0, carbon content, fossil=0, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, water content=0, wet mass=1, carbon content, fossil=0, water in wet mass=0, wet mass=1, water content=0, carbon content, fossil=0.92257895036, dry mass=1, carbon content, non-fossil=0, water in wet mass=0, water content=0, carbon content, non-fossil=0, wet mass=1, carbon content, fossil=0.817139311674, dry mass=1, carbon content, fossil=0.42880501528, water in wet mass=0, dry mass=1, water content=0, carbon content, non-fossil=0, wet mass=1, dry mass=1, water in wet mass=0, wet mass=1, carbon content, non-fossil=0, carbon content, fossil=0, water content=0, water in wet mass=0, water content=0, carbon content, fossil=0, carbon content, non-fossil=0.272916486782489, wet mass=1, dry mass=1, water in wet mass=0, carbon content, fossil=0, carbon content, non-fossil=0.428805015280039, water content=0, wet mass=1, dry mass=1 - Pedigree information shall always be provided for all uncertainties of primary data inputs (exchange amounts, properties and parameters), except for the amount and properties of reference products. -- Property(ies): carbon content, non-fossil=0, price=0, dry mass=1, wet mass=1, price=0, carbon content, non-fossil=0, dry mass=1, wet mass=1, price=0, carbon content, non-fossil=0, wet mass=1, dry mass=1, water content=0, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0.905061252324, dry mass=1, water in wet mass=0, carbon content, fossil=0.905061252324, carbon content, non-fossil=0, water content=0, dry mass=1, wet mass=1, dry mass=1, water content=0, wet mass=1, water in wet mass=0, carbon content, fossil=0.798878869185, carbon content, non-fossil=0, carbon content, fossil=0.839057986085, dry mass=1, water in wet mass=0, carbon content, non-fossil=0, wet mass=1, water content=0, dry mass=1, water in wet mass=0, carbon content, non-fossil=0, carbon content, fossil=0.642710066467, wet mass=1, water content=0, water content=0, carbon content, non-fossil=0, wet mass=1, water in wet mass=0, dry mass=1, carbon content, fossil=0.92257895036, carbon content, non-fossil=0, dry mass=1, wet mass=1, water in wet mass=0, water content=0, carbon content, fossil=0.826586194201, carbon content, fossil=0.832359902138, wet mass=1, water in wet mass=0, water content=0, carbon content, non-fossil=0, dry mass=1, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, carbon content, fossil=0, dry mass=1, water content=0, dry mass=1, carbon content, non-fossil=0, water content=0, wet mass=1, carbon content, fossil=0, water in wet mass=0, water in wet mass=0, dry mass=1, carbon content, fossil=0.792252160773, wet mass=1, water content=0, carbon content, non-fossil=0, water content=0, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, wet mass=1, carbon content, fossil=0, carbon content, fossil=0, carbon content, non-fossil=0, wet mass=1, water content=0, dry mass=1, water in wet mass=0, water content=0, carbon content, non-fossil=0, dry mass=1, carbon content, fossil=0, wet mass=1, water in wet mass=0, wet mass=1, dry mass=1, carbon content, non-fossil=0, carbon content, fossil=0, water content=0, water in wet mass=0, water in wet mass=0, wet mass=1, carbon content, non-fossil=0, carbon content, fossil=0, water content=0, dry mass=1, dry mass=1, water in wet mass=0, wet mass=1, carbon content, non-fossil=0, water content=0, carbon content, fossil=0.545295729069, carbon content, non-fossil=0, water content=0, dry mass=1, carbon content, fossil=0.92257895036, water in wet mass=0, wet mass=1, carbon content, fossil=0, wet mass=1, water in wet mass=0, dry mass=1, water content=0, carbon content, non-fossil=0, water content=0, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, carbon content, fossil=0, dry mass=1, carbon content, non-fossil=0.476031415933, dry mass=1, wet mass=1, water in wet mass=0, water content=0, carbon content, fossil=0.476031415933, carbon content, fossil=0.748686634968, dry mass=1, carbon content, non-fossil=0, water content=0, water in wet mass=0, wet mass=1, water content=0, wet mass=1, carbon content, fossil=0.272916486782, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, water in wet mass=0, wet mass=1, water content=0, carbon content, fossil=0.427024457774, dry mass=1, carbon content, non-fossil=0.427024457774, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, carbon content, fossil=0.40001625243, water content=0, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, dry mass=1, water content=0, carbon content, fossil=0, dry mass=1, wet mass=1, water in wet mass=0, water content=0, carbon content, non-fossil=0, carbon content, fossil=0, water in wet mass=0, dry mass=1, water content=0, carbon content, fossil=0.912486710516, wet mass=1, carbon content, non-fossil=0, dry mass=1, carbon content, non-fossil=0, water content=0, wet mass=1, water in wet mass=0, carbon content, fossil=0, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, water content=0, wet mass=1, carbon content, fossil=0, water in wet mass=0, wet mass=1, water content=0, carbon content, fossil=0.92257895036, dry mass=1, carbon content, non-fossil=0, water in wet mass=0, water content=0, carbon content, non-fossil=0, wet mass=1, carbon content, fossil=0.817139311674, dry mass=1, carbon content, fossil=0.42880501528, water in wet mass=0, dry mass=1, water content=0, carbon content, non-fossil=0, wet mass=1, dry mass=1, water in wet mass=0, wet mass=1, carbon content, non-fossil=0, carbon content, fossil=0, water content=0, water in wet mass=0, water content=0, carbon content, fossil=0, carbon content, non-fossil=0.272916486782489, wet mass=1, dry mass=1, water in wet mass=0, carbon content, fossil=0, carbon content, non-fossil=0.428805015280039, water content=0, wet mass=1, dry mass=1
Nome do revisor e instituição
Detalhes da revisão
Date of last review: 2021-07-08; Major version: 3.1; Minor version: 0.4
Comentários de revisão subseqüente
Validation warnings: - Mass and/or economic deficit in activity dataset exceeds either 0.1% of input or output sum: Property 'carbon content, fossil': - Input='0.013346156019', Output='0.0134220479250826' - Input < output by 7.58919060825734E-05 kg (0.57% of output) Property 'carbon content, non-fossil': - Input='0.001530212328', Output='0.00162229391728063' - Input < output by 9.20815892806299E-05 kg (5.68% of output) Property 'wet mass': - Input='0.017420451', Output='0.0549829952406896' - Input < output by 0.0375625442406896 kg (68.32% of output) Property 'dry mass': - Input='0.017420451', Output='0.0549829952406896' - Input < output by 0.0375625442406896 kg (68.32% of output) Property 'price': - Input='0', Output='0.0156630785770337' - Input < output by 0.0156630785770337 EUR2005 (100% of output) - Amount of property 'carbon content, fossil=0.272916486782' of exchange 'Carbon dioxide, fossil' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.92257895036' of exchange 'Particulates, < 2.5 um' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.92257895036' of exchange 'Styrene' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.40001625243' of exchange 'Formaldehyde' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.905061252324' of exchange 'm-Xylene' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.92257895036' of exchange 'Benzene' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.792252160773' of exchange 'Benzaldehyde' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.748686634968' of exchange 'Methane, fossil' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.817139311674' of exchange 'Propane' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.839057986085' of exchange 'Heptane' deviates from the default amount in the master file. Amount of property 'carbon content, non-fossil=0.476031415933' of exchange 'PAH, polycyclic aromatic hydrocarbons' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.476031415933' of exchange 'PAH, polycyclic aromatic hydrocarbons' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.798878869185' of exchange 'Ethane' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.642710066467' of exchange 'Acrolein' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.832359902138' of exchange 'Pentane' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.912486710516' of exchange 'Toluene' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.905061252324' of exchange 'o-Xylene' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.545295729069' of exchange 'Acetaldehyde' deviates from the default amount in the master file. Amount of property 'carbon content, non-fossil=0.427024457774' of exchange 'NMVOC, non-methane volatile organic compounds, unspecified origin' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.427024457774' of exchange 'NMVOC, non-methane volatile organic compounds, unspecified origin' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.42880501528' of exchange 'Carbon monoxide, fossil' deviates from the default amount in the master file. Amount of property 'carbon content, fossil=0.826586194201' of exchange 'Butane' deviates from the default amount in the master file. - Uncertainty shall always be provided for all primary data inputs (exchange amounts, properties and parameters), except for the amount and properties of reference products. -- Property(ies): carbon content, non-fossil=0, dry mass=1, price=0, wet mass=1, carbon content, non-fossil=0, dry mass=1, price=0, wet mass=1, price=0, wet mass=1, carbon content, non-fossil=0, dry mass=1, water in wet mass=0, carbon content, fossil=0, carbon content, non-fossil=0.428805015280039, water content=0, wet mass=1, dry mass=1, carbon content, non-fossil=0, wet mass=1, dry mass=1, carbon content, fossil=0.272916486782, water in wet mass=0, water content=0, dry mass=1, wet mass=1, water content=0, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0, water content=0, carbon content, non-fossil=0, wet mass=1, water in wet mass=0, dry mass=1, carbon content, fossil=0, carbon content, fossil=0.92257895036, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, dry mass=1, water content=0, dry mass=1, water in wet mass=0, wet mass=1, water content=0, carbon content, non-fossil=0, carbon content, fossil=0.92257895036, wet mass=1, water content=0, water in wet mass=0, carbon content, non-fossil=0, dry mass=1, carbon content, fossil=0, carbon content, fossil=0.40001625243, water in wet mass=0, wet mass=1, water content=0, carbon content, non-fossil=0, dry mass=1, carbon content, non-fossil=0, carbon content, fossil=0.905061252324, wet mass=1, water in wet mass=0, water content=0, dry mass=1, carbon content, non-fossil=0, water content=0, carbon content, fossil=0.92257895036, dry mass=1, wet mass=1, water in wet mass=0, wet mass=1, carbon content, fossil=0, water in wet mass=0, carbon content, non-fossil=0, water content=0, dry mass=1, wet mass=1, water content=0, carbon content, fossil=0.792252160773, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, wet mass=1, carbon content, non-fossil=0.272916486782489, dry mass=1, water content=0, carbon content, fossil=0, water in wet mass=0, water in wet mass=0, wet mass=1, carbon content, fossil=0, carbon content, non-fossil=0, dry mass=1, water content=0, carbon content, non-fossil=0, dry mass=1, water content=0, water in wet mass=0, wet mass=1, carbon content, fossil=0.748686634968, carbon content, non-fossil=0, dry mass=1, carbon content, fossil=0, wet mass=1, water in wet mass=0, water content=0, wet mass=1, water content=0, water in wet mass=0, carbon content, fossil=0.817139311674, carbon content, non-fossil=0, dry mass=1, water in wet mass=0, carbon content, fossil=0.839057986085, carbon content, non-fossil=0, wet mass=1, dry mass=1, water content=0, dry mass=1, carbon content, fossil=0, water in wet mass=0, water content=0, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, carbon content, non-fossil=0.476031415933, carbon content, fossil=0.476031415933, wet mass=1, water content=0, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, water content=0, carbon content, fossil=0, dry mass=1, wet mass=1, water in wet mass=0, carbon content, fossil=0, carbon content, non-fossil=0, water content=0, dry mass=1, wet mass=1, carbon content, fossil=0, water in wet mass=0, carbon content, non-fossil=0, water content=0, dry mass=1, carbon content, fossil=0, wet mass=1, water in wet mass=0, dry mass=1, carbon content, non-fossil=0, water content=0, carbon content, fossil=0.798878869185, dry mass=1, water content=0, carbon content, non-fossil=0, water in wet mass=0, wet mass=1, water content=0, dry mass=1, carbon content, fossil=0.642710066467, water in wet mass=0, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0, dry mass=1, carbon content, non-fossil=0, water content=0, wet mass=1, water content=0, wet mass=1, carbon content, fossil=0.832359902138, water in wet mass=0, carbon content, non-fossil=0, dry mass=1, water content=0, dry mass=1, water in wet mass=0, carbon content, fossil=0.912486710516, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0.905061252324, dry mass=1, wet mass=1, carbon content, non-fossil=0, water content=0, water in wet mass=0, carbon content, fossil=0.545295729069, wet mass=1, dry mass=1, water content=0, carbon content, non-fossil=0, carbon content, fossil=0.427024457774, water content=0, carbon content, non-fossil=0.427024457774, wet mass=1, dry mass=1, water in wet mass=0, carbon content, non-fossil=0, carbon content, fossil=0.42880501528, water in wet mass=0, water content=0, dry mass=1, wet mass=1, water in wet mass=0, water content=0, dry mass=1, carbon content, fossil=0.826586194201, carbon content, non-fossil=0, wet mass=1, dry mass=1, carbon content, non-fossil=0, carbon content, fossil=0, water in wet mass=0, wet mass=1, water content=0, wet mass=1, water content=0, carbon content, fossil=0, water in wet mass=0, carbon content, non-fossil=0, dry mass=1 - Pedigree information shall always be provided for all uncertainties of primary data inputs (exchange amounts, properties and parameters), except for the amount and properties of reference products. -- Property(ies): carbon content, non-fossil=0, dry mass=1, price=0, wet mass=1, carbon content, non-fossil=0, dry mass=1, price=0, wet mass=1, price=0, wet mass=1, carbon content, non-fossil=0, dry mass=1, water in wet mass=0, carbon content, fossil=0, carbon content, non-fossil=0.428805015280039, water content=0, wet mass=1, dry mass=1, carbon content, non-fossil=0, wet mass=1, dry mass=1, carbon content, fossil=0.272916486782, water in wet mass=0, water content=0, dry mass=1, wet mass=1, water content=0, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0, water content=0, carbon content, non-fossil=0, wet mass=1, water in wet mass=0, dry mass=1, carbon content, fossil=0, carbon content, fossil=0.92257895036, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, dry mass=1, water content=0, dry mass=1, water in wet mass=0, wet mass=1, water content=0, carbon content, non-fossil=0, carbon content, fossil=0.92257895036, wet mass=1, water content=0, water in wet mass=0, carbon content, non-fossil=0, dry mass=1, carbon content, fossil=0, carbon content, fossil=0.40001625243, water in wet mass=0, wet mass=1, water content=0, carbon content, non-fossil=0, dry mass=1, carbon content, non-fossil=0, carbon content, fossil=0.905061252324, wet mass=1, water in wet mass=0, water content=0, dry mass=1, carbon content, non-fossil=0, water content=0, carbon content, fossil=0.92257895036, dry mass=1, wet mass=1, water in wet mass=0, wet mass=1, carbon content, fossil=0, water in wet mass=0, carbon content, non-fossil=0, water content=0, dry mass=1, wet mass=1, water content=0, carbon content, fossil=0.792252160773, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, wet mass=1, carbon content, non-fossil=0.272916486782489, dry mass=1, water content=0, carbon content, fossil=0, water in wet mass=0, water in wet mass=0, wet mass=1, carbon content, fossil=0, carbon content, non-fossil=0, dry mass=1, water content=0, carbon content, non-fossil=0, dry mass=1, water content=0, water in wet mass=0, wet mass=1, carbon content, fossil=0.748686634968, carbon content, non-fossil=0, dry mass=1, carbon content, fossil=0, wet mass=1, water in wet mass=0, water content=0, wet mass=1, water content=0, water in wet mass=0, carbon content, fossil=0.817139311674, carbon content, non-fossil=0, dry mass=1, water in wet mass=0, carbon content, fossil=0.839057986085, carbon content, non-fossil=0, wet mass=1, dry mass=1, water content=0, dry mass=1, carbon content, fossil=0, water in wet mass=0, water content=0, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, carbon content, non-fossil=0.476031415933, carbon content, fossil=0.476031415933, wet mass=1, water content=0, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, water content=0, carbon content, fossil=0, dry mass=1, wet mass=1, water in wet mass=0, carbon content, fossil=0, carbon content, non-fossil=0, water content=0, dry mass=1, wet mass=1, carbon content, fossil=0, water in wet mass=0, carbon content, non-fossil=0, water content=0, dry mass=1, carbon content, fossil=0, wet mass=1, water in wet mass=0, dry mass=1, carbon content, non-fossil=0, water content=0, carbon content, fossil=0.798878869185, dry mass=1, water content=0, carbon content, non-fossil=0, water in wet mass=0, wet mass=1, water content=0, dry mass=1, carbon content, fossil=0.642710066467, water in wet mass=0, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0, dry mass=1, carbon content, non-fossil=0, water content=0, wet mass=1, water content=0, wet mass=1, carbon content, fossil=0.832359902138, water in wet mass=0, carbon content, non-fossil=0, dry mass=1, water content=0, dry mass=1, water in wet mass=0, carbon content, fossil=0.912486710516, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0.905061252324, dry mass=1, wet mass=1, carbon content, non-fossil=0, water content=0, water in wet mass=0, carbon content, fossil=0.545295729069, wet mass=1, dry mass=1, water content=0, carbon content, non-fossil=0, carbon content, fossil=0.427024457774, water content=0, carbon content, non-fossil=0.427024457774, wet mass=1, dry mass=1, water in wet mass=0, carbon content, non-fossil=0, carbon content, fossil=0.42880501528, water in wet mass=0, water content=0, dry mass=1, wet mass=1, water in wet mass=0, water content=0, dry mass=1, carbon content, fossil=0.826586194201, carbon content, non-fossil=0, wet mass=1, dry mass=1, carbon content, non-fossil=0, carbon content, fossil=0, water in wet mass=0, wet mass=1, water content=0, wet mass=1, water content=0, carbon content, fossil=0, water in wet mass=0, carbon content, non-fossil=0, dry mass=1
Nome do revisor e instituição
Nome do revisor e instituição
Nome do revisor e instituição
Comissário e objetivo
Aplicações pretendidas Can be used for any types of LCA studies
Gerador de dados
Gerador / modelador de conjunto de dados
Entrada de dados por
Carimbo de tempo (último gravado) 2021-09-20T15:48:37
Formato(s) do(s) conjunto(s) de dados
Conjunto de dados original convertido de
Entrada de dados por
Publicação e propriedade
UUID 562e40aa-d1d3-4266-989d-8d99506055d5
Data da última revisão 2021-09-20T12:13:58
Versão do conjunto de dados 03.01.000
Conjunto de dados permanente URI http://sicv.acv.ibict.br
Fluxo de trabalho e status de publicação Data set finalised; entirely published
Republicação sem alterações de
Direitos autorais Sim
Tipo de licença License fee
Restrições de acesso e uso License type for this dataset: Licensees

Entradas

Tipo de fluxo Classificação Fluxo Variável Valor médio Valor resultante Montante mínimo Montante máximo
Product flow
7.27903E-5 m*year7.27903E-5 m*year 4.105324415112641E-5 1.2906234047144413E-4
Comentário geral [m*year] Pedigree: (3,5,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Product flow
8.6808E-8 Item(s)8.6808E-8 Item(s) 4.9304401568354384E-8 1.5283886680082293E-7
Comentário geral [unit] Pedigree: (3,1,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Product flow
0.002090454 kg0.002090454 kg 0.0018193091249987044 0.0024020095683954267
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Product flow
0.00109 m*year0.00109 m*year 6.190880760932895E-4 0.0019191130404213551
Comentário geral [m*year] Pedigree: (3,1,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Product flow
0.015329997 kg0.015329997 kg 0.013341601120284286 0.017614737983937073
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Product flow
8.6808E-8 Item(s)8.6808E-8 Item(s) 4.895913354212005E-8 1.539167121394626E-7
Comentário geral [unit] Pedigree: (3,5,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters

Saídas

Tipo de fluxo Classificação Fluxo Variável Valor médio Valor resultante Montante mínimo Montante máximo
Product flow
1.0 t*km1.0 t*km
Comentário geral [metric ton*km]
Waste flow
brake_emissions 1.0 kg1.60317275648253E-5 kg 1.3883412550498072E-5 1.8512472187794983E-5
Comentário geral [kg] Pedigree: (3,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Waste flow
road_emissions 1.0 kg1.38034554678692E-5 kg 1.195373774335622E-5 1.5939397947670884E-5
Comentário geral [kg] Pedigree: (3,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Waste flow
tyre_emissions 1.0 kg1.58838333990981E-4 kg 1.3755336788962084E-4 1.83416929240699E-4
Comentário geral [kg] Pedigree: (3,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 4.7814E-10 kg4.7814E-10 kg 4.1612227058183557E-10 5.494006828337717E-10
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 4.7814E-9 kg4.7814E-9 kg 4.161222705818356E-9 5.494006828337717E-9
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 1.34858E-9 kg1.34858E-9 kg 5.77694803162684E-10 3.148146748842826E-9
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 1.03472E-12 kg1.03472E-12 kg 4.432457597832479E-13 2.4154669385298975E-12
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 9.14001E-11 kg9.14001E-11 kg 3.915330405207673E-11 2.1336585716747183E-10
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 1.5938E-9 kg1.5938E-9 kg 1.3870742352727853E-9 1.8313356094459057E-9
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 3.066E-7 kg3.066E-7 kg 2.913582970997366E-7 3.22639035633233E-7
Comentário geral [kg] Pedigree: (3,1,1,1,1). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 1.49249E-7 kg1.49249E-7 kg 1.2655687692231344E-7 1.7600990592295984E-7
Comentário geral [kg] Pedigree: (2,5,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 5.17359E-10 kg5.17359E-10 kg 2.216224515189629E-10 1.207731134848934E-9
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 0.005938696 kg0.005938696 kg 0.0046428059225495175 0.007596292149349444
Comentário geral [kg] Pedigree: (3,5,5,5,3). 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
Elementary flows / Emissions to air / unspecified 2.99723E-8 kg2.99723E-8 kg 1.2839313907097032E-8 6.99678171115854E-8
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 1.69091E-7 kg1.69091E-7 kg 1.4715884647792103E-7 1.9429186192547222E-7
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 1.11566E-9 kg1.11566E-9 kg 9.709519646909498E-10 1.2819349266121341E-9
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 0.048707927 kg0.048707927 kg 0.03807931100543108 0.06230317960056986
Comentário geral [kg] Pedigree: (3,5,5,5,3). 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
Elementary flows / Emissions to air / unspecified 1.72453E-12 kg1.72453E-12 kg 7.387415050632098E-13 4.025770449496447E-12
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 2.26766E-6 kg2.26766E-6 kg 2.187354778460401E-6 2.3509134989155552E-6
Comentário geral [kg] Pedigree: (2,2,1,1,1). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 8.9848E-10 kg8.9848E-10 kg 3.8488426844948635E-10 2.0974261007135672E-9
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 8.92528E-9 kg8.92528E-9 kg 7.767615717527599E-9 1.0255479412897073E-8
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 1.09447E-6 kg1.09447E-6 kg 1.0557112549419028E-6 1.1346517102026351E-6
Comentário geral [kg] Pedigree: (2,2,1,1,1). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 1.51759E-10 kg1.51759E-10 kg 6.500940665972041E-11 3.5426863994545256E-10
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 1.66295E-5 kg1.66295E-5 kg 1.6040595278131308E-5 1.72400254139581E-5
Comentário geral [kg] Pedigree: (2,2,1,1,1). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 6.69118E-8 kg6.69118E-8 kg 5.823292371422108E-8 7.688415236047342E-8
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 9.5628E-10 kg9.5628E-10 kg 8.322445411636711E-10 1.0988013656675434E-9
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 1.29464E-6 kg1.29464E-6 kg 1.126717146413326E-6 1.4875896181534993E-6
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 1.5938E-10 kg1.5938E-10 kg 1.3870742352727852E-10 1.8313356094459056E-10
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 3.16766E-6 kg3.16766E-6 kg 2.686042497783807E-6 3.7356333281691873E-6
Comentário geral [kg] Pedigree: (2,5,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 6.89973E-9 kg6.89973E-9 kg 5.850680945314165E-9 8.136877487914987E-9
Comentário geral [kg] Pedigree: (2,5,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 2.3907E-9 kg2.3907E-9 kg 2.080611352909178E-9 2.7470034141688586E-9
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 1.22386E-4 kg1.22386E-4 kg 1.1805191338942109E-4 1.2687920564735414E-4
Comentário geral [kg] Pedigree: (2,2,1,1,1). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 2.82103E-8 kg2.82103E-8 kg 2.455124877607972E-8 3.241468624868354E-8
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 1.72453E-12 kg1.72453E-12 kg 1.5008477418465156E-12 1.981549252451843E-12
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 3.656E-10 kg3.656E-10 kg 1.566130448592425E-10 8.534624949034816E-10
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 3.91918E-8 kg3.91918E-8 kg 3.323299860611411E-8 4.6219036850842945E-8
Comentário geral [kg] Pedigree: (2,5,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 1.69043E-8 kg1.69043E-8 kg 1.4711707237621876E-8 1.9423670813625564E-8
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 1.50034E-10 kg1.50034E-10 kg 6.427046381950654E-11 3.5024177232042933E-10
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters
Elementary flow
Elementary flows / Emissions to air / unspecified 2.18351E-8 kg2.18351E-8 kg 1.9002951834988578E-8 2.5089343810899922E-8
Comentário geral [kg] Pedigree: (2,2,4,5,3). Exchange comment placed in dataset's general comment for passing the number of characters