Data on the Production of Chemicals
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Data stock: Chemicals for PEF

Process data set overview page

Data set: acetylene production (02.00.000)

Other versions:   03.00.002   01.00.000
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Full name
acetylene production; technology mix; production mix, at plant; 100% active substance
Location
RER
Reference year
2017
Valid until
2020
Reference flow(s)
Type
LCI result
Parameterized?
no
LCIA results included?
no
Category
Materials production / Organic chemicals
Synonyms
ethin ethyne
Use advice for data set
Data set use approval
General comment
TYPE OF DATASET For every chemical compound three datasets are created; the unit process (partially terminated system), the non-energy and transport component of the partially terminated system, and the cumulative life cycle inventory dataset (system process). For more information and flow chart see the report (ecoinvent, 2017, Data on the Production of Chemicals created for the EU Product Environmental Footprint (PEF) pilot phase implementation, www.ecoinvent.org, ecoinvent Association, Zürich, Switzerland). This dataset represent the cumulative life cycle inventory dataset (system process). PROCESS DESCRIPTION This dataset represents the production of 1 kg of acetylene. Acetylene is the simplest hydrocarbon with a triple bond. It is a colorless gas with a faint garlic-like odor. Acetylene is mainly used in the processing of metals. The activity starts when the raw materials enter the process. Materials entering the process are included as well as energy uses, infrastructure and emissions. References ecoinvent (2017) Data on the Production of Chemicals created for the EU Product Environmental Footprint (PEF) pilot phase implementation, www.ecoinvent.org, ecoinvent Association, Zürich, Switzerland Gendorf (2016) Umwelterklärung 2015, Werk Gendorf Industriepark, www.gendorf.de Pässler, P., Hefner, W., Buckl, K., Meinass, H., Meiswinkel, A., Wernicke, H.-J., Ebersberg, G., Müller, R., Bässler, J., Behringer, H. and Mayer, D. 2011. Acetylene. Ullmann's Encyclopedia of Industrial Chemistry. Althaus H.-J., Chudacoff M., Hischier R., Jungbluth N., Osses M. and Primas A. (2007) Life Cycle Inventories of Chemicals. Final report ecoinvent data v2.0 No. 8. Swiss Centre for Life Cycle Inventories, Dübendorf, CH. CAMEO Chemicals. Chemical Datasheet, Acetylene, https://cameochemicals.noaa.gov/chemical/18 (last accessed on 2017-01-05). Water content of the reference product: 0.0 kg Biogenic carbon content of the reference product: 0.0 kg DATA QUALITY ASSESSMENT The data quality ratings for the datasets were determined as the average of the 5 individual ratings for Technological Representativeness, Geographical Representativeness, Time-related representativeness, Precision/uncertainty, and implementation of the End of Life Formula. The final scores for these 5 descriptors were determined by the independent, external reviewer after a discussion with the internal reviewers. The basis for this determination was generally a contribution analysis of the material and energy inputs as well as direct resource uses and emissions. This process was required by the tender. The contribution analysis is based on the most important flows in the dataset, defined in the tender specifications as “the unit processes contributing cumulatively to at least to 80% of the total environmental impact based on characterised and normalised results”. In addition to unit processes, direct emissions also qualified as input exchanges for this approach. For the normalization, the normalisation factors “EC-JRC Global (2010 or 2013), per person” available at http://eplca.jrc.ec.europa.eu/?page_id=140 were used. For each parameter, the DQR scores were chosen to best reflect the conditions and quality of the amount value, the appropriateness of the chosen exchange for the specific needs of the system under analysis, and the quality of the foreground and background data for aggregated inputs of exchanges from the technosphere, i.e. not direct emissions or resource uses. BILL OF MATERIALS The bill of material includes the following inputs: chemical factory, organics: 4e-10 unit oxygen, liquid: 5.3 kg Electricity: 0.000278 kWh Natural gas, at consumer EU-27: 1.16959064327 kg Thermal energy (MJ): 0.152 MJ. NOT INCLUDED EXCHANGES The following exchanges have not been included in the inventory as they are not part of the official list of elementary exchanges published by the JRC. The EC and JRC were not able to provide an extended flow list during the duration of the data creation. If the JRC decides to include these exchanges in the master data, they may be added to the exchange section of the dataset by ecoinvent as part of a maintenance. The absence of these exchanges does not change the scores calculated with the ILCD recommended methods, but that might not be the case for other LCIA methods. Fatty acid methyl ester, Emissions to air, Emissions to air, unspecified: 1.81e-14 kg inland water bodies, Resources, Land occupation: 0.000207 m2*a sodium hydroxide, Emissions to water, Emissions to water, unspecified: 1.93e-14 kg sodium hypochlorite, Emissions to water, Emissions to water, unspecified: 3.59e-14 kg PROCESS DIAGRAM LEGEND The file 'chemical_dataset_diagram.jpg' presents the relationship between partially terminated datasets, energy and transport from datasets from thinkstep, and the aggregated inputs dataset. The aggregated inputs dataset is available on the node, under the name 'acetylene production - RER - aggregated inputs.xml' The following datasets from thinkstep are used as inputs of energy: 1.09e-11 kWh of Electricity from Electricity from natural gas - HR 2.48e-11 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 12-14 t (without fuel) - EU-28+3 6.77e-12 kg of Natural gas, at consumer New Zealand from Natural gas mix - NZ 6.76e-10 kWh of Electricity from Electricity from lignite - IT 6.67e-09 kg of Uranium (fabricated) from Nuclear fuel supply - CZ 6.52e-12 kg of Naphtha from Naphtha at refinery - VE 3.89e-17 kWh of Electricity from river-run hydropower from Electricity from river-run power plant - IN 1.19e-26 kg of Biomass (solid) for bioenergy, at consumer Thailand from Biomass (solid) for bioenergy - TH 1.22e-14 kWh of Electricity from Electricity from wind power - LU 3.8e-17 kWh of Electricity from Residual grid mix - HR 9.76e-12 kWh of Electricity from storage and pump storage hydropower from Electricity from storage and pump storage power plant - IE 5.34e-18 kWh of Electricity from storage and pump storage hydropower from Electricity from storage and pump storage power plant - SE 1.95e-11 kWh of Electricity from Electricity grid mix 1kV-60kV - MT 2.98e-12 kWh of Electricity from Electricity from biogas - CZ 8.25e-13 kWh of Electricity from Electricity from nuclear - SE 5.44e-09 kWh of Electricity from Electricity from heavy fuel oil (HFO) - RU 3.85e-20 kg of Gasoline (premium) from Gasoline mix (premium) at filling station (E5) - RSA 1.7e-10 kWh of Electricity from Electricity from wind power - LT 8.76e-13 metric ton*km of Transport from Articulated lorry transport, Euro 0, Total weight <7.5 t (without fuel) - EU-28+3 3.83e-17 kg of Heavy fuel oil (1.0 wt.% S) from Heavy fuel oil at refinery - SI 1.78e-09 MJ of Steam (MJ) from Process steam from hard coal - RSA 1.78e-15 kg of Propane from Propane at refinery - RU 1.61e-14 metric ton*km of Transport from Articulated lorry transport, Total weight 7.5-12 t, mix Euro 0-5 - RAS 2.42e-07 kWh of Electricity from Electricity grid mix 1kV-60kV - DZ 4.14e-13 MJ of Thermal energy (MJ) from Thermal energy from heavy fuel oil (HFO) - CN 7.64e-15 kWh of Electricity from Electricity from hydro power - PH 2.31e-17 kWh of Electricity from Electricity from hydro power - MA 9.98e-06 MJ of Steam (MJ) from Process steam from biogas - RNA 1.46e-07 MJ of Steam (MJ) from Process steam from hard coal - CA 6.59e-07 MJ of Thermal energy (MJ) from Thermal energy from light fuel oil (LFO) - RU 3.24e-05 kWh of Electricity from Electricity from hydro power - GR 0.058 kg of Peat from Peat mining - EE 3.44e-14 kWh of Electricity from Electricity from coal gases - AU 3.32e-12 kWh of Electricity from Electricity from biogas - AT 3.34e-11 kg of Soy bean, oil, conditioned from Soy bean oil, conditioned - US 1.52e-08 kWh of Electricity from Wind Park 100x V90-3.0MW offshore - DE 8.41e-09 kg of Gasoline (regular) from Gasoline mix (regular) at refinery - IN 5.6e-20 kWh of Electricity from Electricity from wind power - EU-28+3 6.43e-06 kg of Kerosene from Kerosene at refinery - VE 5.13e-19 kg of Natural gas, at consumer Finland from Natural gas mix - FI 4.42e-10 kg of Diesel from Diesel at refinery - VE 3.77e-10 kWh of Electricity from Electricity from hydro power - RO 4.21e-12 kWh of Electricity from Electricity from natural gas - KR 3.37e-19 kWh of Electricity from Wind Park 182 V82-1.65 MW onshore - IE 1.9e-10 kWh of Electricity from renewables unspecified from Electricity from renewables unspecified - LU 1.22e-05 kWh of Electricity from Electricity from nuclear - RSA 3.45e-10 kg of Propane from Propane at refinery - CN 7.65e-14 kg of Gasoline (premium) from Gasoline (premium) at refinery - RU 4.7e-05 metric ton*km of Transport from Articulated lorry transport, Total weight >32 t, mix Euro 0-5 - RSA 3.8e-16 kg of Sulphur from Sulphur (elemental) at refinery - VE 3.48e-08 kg of Naphtha from Naphtha at refinery - ZA 3e-13 kWh of Electricity from Electricity from wind power - RAS w/o CN 2.1e-10 kWh of Electricity from fossil unspecified from Electricity from fossil unspecified - DE 1.52e-06 kWh of Electricity from Electricity from hard coal - DE 8.42e-12 kg of Gasoline (premium) from Gasoline mix (premium) at refinery - BR 8.4e-10 kg of Bitumen from Bitumen at refinery - EG 5.44e-25 kg of Heavy fuel oil (1.0 wt.% S) from Heavy fuel oil at refinery - SE 4.69e-07 kg of Biomass (solid) for bioenergy, at consumer Sweden from Biomass (solid) for bioenergy - SE 7.94e-08 unit of Truck (1 piece, tractor & trailer) from Truck production (>32t gross weight) - GLO 2.41e-10 metric ton*km of Transport from Articulated lorry transport, Euro 0, Total weight 14-20 t (without fuel) - EU-28+3 7.55e-20 kg of Heavy fuel oil (1.0 wt.% S) from Heavy fuel oil at refinery - IN 2.9e-14 kg of Diesel from Diesel at refinery - ZA 1.1e-21 kWh of Electricity from renewables unspecified from Electricity from renewables unspecified - DK 2.77e-19 kg of Gasoline (premium) from Gasoline mix (premium) at filling station (E5) - JP 5.16e-16 kWh of Electricity from storage hydropower from Electricity from storage power plant - CA 8.92 MJ of Thermal energy (MJ) from Thermal energy from lignite - EU-28+3 3.95e-12 kg of Natural gas, at consumer India from Natural gas mix - IN 1.03e-14 kWh of Electricity from Electricity from hydro power - LU 1.02e-23 kWh of Electricity from Electricity from wind power - TR 7.55e-14 MJ of Thermal energy (MJ) from Thermal energy from heavy fuel oil (HFO) - IN 1.17e-09 MJ of Thermal energy (MJ) from Thermal energy from light fuel oil - RNA 3.27e-09 MJ of Thermal energy (MJ) from Thermal energy from natural gas - RSA 4.68e-09 kg of Passenger car (1 piece) from Passenger car (medium, gasoline) - GLO 1.11e-08 kWh of Electricity from Electricity from coal gases - CZ The following datasets from thinkstep are used as inputs of transport: 0.0486 metric ton*km of Transport from Freight train, diesel traction - EU-28+3 0.0658 metric ton*km of Transport from Freight train, electricity traction - EU-28+3 0.0495 metric ton*km of Transport from Freight train, average (without fuel) - EU-28+3 0.0292 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight >32 t (without fuel) - EU-28+3 0.00214 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 20-26 t (without fuel) - EU-28+3 0.0126 metric ton*km of Transport from Articulated lorry transport, Total weight 20-26 t, mix Euro 0-5 - ROW w/o EU-28+3 0.00945 metric ton*km of Transport from Articulated lorry transport, Total weight 14-20 t, mix Euro 0-5 - ROW w/o EU-28+3 0.0063 metric ton*km of Transport from Articulated lorry transport, Total weight 28-32 t, mix Euro 0-5 - ROW w/o EU-28+3 0.00107 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 28-32 t (without fuel) - EU-28+3 0.00174 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 14-20 t (without fuel) - EU-28+3 0.00164 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight <7.5 t (without fuel) - EU-28+3 0.000133 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 12-14 t (without fuel) - EU-28+3 0.0003 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 7,5-12 t (without fuel) - EU-28+3 0.027 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight >32 t (without fuel) - EU-28+3 0.000882 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight 20-26 t (without fuel) - EU-28+3 0.00142 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight 12-14 t (without fuel) - EU-28+3 0.00186 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight 14-20 t (without fuel) - EU-28+3 0.00106 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight <7.5 t (without fuel) - EU-28+3 0.000213 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight 7,5-12 t (without fuel) - EU-28+3 0.0114 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight >32 t (without fuel) - EU-28+3 0.00058 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight 12-14 t (without fuel) - EU-28+3 0.000357 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight 20-26 t (without fuel) - EU-28+3 0.000759 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight 14-20 t (without fuel) - EU-28+3 0.000425 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight <7.5 t (without fuel) - EU-28+3 0.0001 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight 7,5-12 t (without fuel) - EU-28+3
LCI Method Principle
Attributional
LCI Method Approaches
  • Allocation - market value
Completeness of product model
All relevant flows quantified
Reviews
  • Dependent internal review by
    No records found.
    Data quality indicators
    • Overall quality: Good - 2.0
    • Methodological appropriateness and consistency: Fair - 3.0
    • Precision: Good - 2.0
    • Geographical representativeness: Very good - 1.0
    • Time representativeness: Very good - 1.0
    • Technological representativeness: Good - 2.0
  • Independent review panel by
    No records found.
    Data quality indicators
    • Overall quality: Good - 2.0
    • Methodological appropriateness and consistency: Fair - 3.0
    • Precision: Good - 2.0
    • Geographical representativeness: Very good - 1.0
    • Time representativeness: Very good - 1.0
    • Technological representativeness: Good - 2.0
License and access conditions
Copyright
yes
License type
Free of charge for some user types or use types
Access information
Free of charge for all final users implementing the data in one of the 24 PEFCRs/OEFSRs developed during the Environmental Footprint pilot phase. The final users using this dataset must agree with and submit to the ecoinvent End User License Agreement - EULA 'ecoinvent Production of Chemicals datasets created for the EU Product Environmental Footprint (PEF) implementation 2016 - 2020' of ecoinvent (www.ecoinvent.org). Any use of this dataset or any derivative data not within the specific context of one of the PEF/OEF pilot projects or after the end of 2020 is not permitted.
Owner of data set
ecoinvent
Technical purpose
Input Products
No records found.
Co-Products
No records found.
Data set version
02.00.000
Time stamp (last saved)
2017-05-13T02:00:00+01:00
Data set format
ILCD format 1.1
Other versions
Compliance systems
  • ISO 14040 conformity system (Overall compliance: Fully compliant)
  • PEF/OEF implementation, mandatory data 2016-2020 (Overall compliance: Fully compliant)
Registered in
Process is not registered in any registry
Data Set deregistration
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