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

Process data set overview page

Data set: Acetone from isopropanol production (03.00.008)

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Full name
Acetone from isopropanol 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?
yes
Category
Materials production / Organic chemicals
Synonyms
Acetone; 2-propanone; Propanone; Dimethyl ketone; Methyl ketone; Dimethylformaldehyde;
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, Z\xc3\xbcrich, Switzerland). This dataset represent the cumulative life cycle inventory dataset (system process). PROCESS DESCRIPTION This activity represents the production of acetone from isopropanol. Acetone can be produced both by hydrogenation or oxidation of isopropanol with the aid of a catalyst. This process represents the hydrogenation of isopropanol with the aid of a copper catalyst. Acetone is mainly used as a solvent (Lokras et al. 1970 and Scharf et al. 1981). Global production of acetone is around 5.5 million metric tons (Gallardo Hipolito 2011). 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, Z\xc3\xbcrich, Switzerland Gendorf (2016) Umwelterkl\xc3\xa4rung 2015, Werk Gendorf Industriepark, www.gendorf.de Gallardo Hipolito, M. 2011. Life Cycle Assessment of platform chemicals from fossil and lignocellulosic biomass scenarios LCA of phenolic compounds, solvent, soft and hard plastic precursors. Master in Industrial Ecology. Norwegian University of Science and Technology Department of Energy and Process Engineering. Retrieved from: http://daim.idi.ntnu.no/masteroppgaver/006/6362/tittelside.pdf, accessed 6 January 2017 Lokras et al. 1970 Catalytic Dehydrogenation Of 2-Propanol To Acetone. Ind. Eng. Chem. Process Des. Develop., Vol. 9, no. 2 Scharf et al. 1981 Process For The Production Of Acetone From Isobutyraldehyde. United States Patent 4,205,119 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 \xe2\x80\x9cthe unit processes contributing cumulatively to at least to 80% of the total environmental impact based on characterised and normalised results\xe2\x80\x9d. In addition to unit processes, direct emissions also qualified as input exchanges for this approach. For the normalization, the normalisation factors \xe2\x80\x9cEC-JRC Global (2010 or 2013), per person\xe2\x80\x9d 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. ENERGY AND TRANSPORT INFORMATION SOURCE Energy and transport was used in both the foreground and background of this dataset. When building the dataset, energy and transport demands were supplied directly by datasets provided by thinkstep. The background for every other input from technosphere uses a modified version of the ecoinvent database, created specifically for the PEF. In this version, every instance of energy and transport supply, anywhere in the database, was replaced by a dataset from thinkstep. This ensures that every demand for energy and transport, in the foreground and in the background, is supplied by a thinkstep dataset. BILL OF MATERIALS The bill of material includes the following inputs: chemical factory, organics: 4e-10 unit heat, in chemical industry: 2.35 MJ isopropanol: 1.09119975324 kg nitrogen, liquid: 0.019 kg tap water: 0.026 kg wastewater, average: -2.7e-06 m3 Electricity: 0.416 kWh. 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: 1.39e-15 kg inland water bodies, Resources, Land occupation: 2.67e-05 m2*a sodium hydroxide, Emissions to water, Emissions to water, unspecified: 4.32e-14 kg sodium hypochlorite, Emissions to water, Emissions to water, unspecified: 8.04e-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 'Acetone from isopropanol production, aggregated inputs, RER.xml' The following datasets from thinkstep are used as inputs of energy: 0.416 kWh of Electricity from Electricity grid mix 1kV-60kV - EU-28+3 The following datasets from thinkstep are used as inputs of transport: 0.00887 metric ton*km of Transport from Barge - EU-28+3 0.018 metric ton*km of Transport from Barge - ROW w/o EU-28+3 0.0602 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight >32 t (without fuel) - EU-28+3 0.00442 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 20-26 t (without fuel) - EU-28+3 0.026 metric ton*km of Transport from Articulated lorry transport, Total weight 20-26 t, mix Euro 0-5 - ROW w/o EU-28+3 0.0195 metric ton*km of Transport from Articulated lorry transport, Total weight 14-20 t, mix Euro 0-5 - ROW w/o EU-28+3 0.013 metric ton*km of Transport from Articulated lorry transport, Total weight 28-32 t, mix Euro 0-5 - ROW w/o EU-28+3 0.00221 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 28-32 t (without fuel) - EU-28+3 0.00359 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 14-20 t (without fuel) - EU-28+3 0.00337 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight <7.5 t (without fuel) - EU-28+3 0.000275 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 12-14 t (without fuel) - EU-28+3 0.000619 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 7,5-12 t (without fuel) - EU-28+3 0.0557 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight >32 t (without fuel) - EU-28+3 0.00182 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight 20-26 t (without fuel) - EU-28+3 0.00292 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight 12-14 t (without fuel) - EU-28+3 0.00383 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight 14-20 t (without fuel) - EU-28+3 0.00219 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight <7.5 t (without fuel) - EU-28+3 0.000439 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight 7,5-12 t (without fuel) - EU-28+3 0.0236 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight >32 t (without fuel) - EU-28+3 0.0012 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight 12-14 t (without fuel) - EU-28+3 0.000737 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight 20-26 t (without fuel) - EU-28+3 0.00157 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight 14-20 t (without fuel) - EU-28+3 0.000877 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight <7.5 t (without fuel) - EU-28+3 0.000206 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight 7,5-12 t (without fuel) - EU-28+3 0.654 metric ton*km of Transporting capacity from Transoceanic ship, containers - GLO 0.164 metric ton*km of Transport from Freight train, diesel traction - EU-28+3 0.167 metric ton*km of Transport from Freight train, electricity traction - EU-28+3 0.00695 metric ton*km of Transport from Freight train, average (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: Good - 2.0
    • 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: Good - 2.0
    • 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
03.00.008
Time stamp (last saved)
2017-05-13T02:00:00+01:00
Data set format
ILCD format 1.1
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
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