Process Data set: Acetic acid production; technology mix; production mix, at plant; 100% active substance (en)
Process information
| Key Data Set Information | |
| Location | EU+EFTA+UK |
| Reference year | 2017 |
| Name |
Base name
; Treatment, standards, routes
; Mix and location types
; Quantitative product or process properties
Acetic acid production; technology mix; production mix, at plant; 100% active substance
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| Use advice for data set | Notice: this data set supersedes the EF3.0-compliant version (see link under "preceding data set version" below calculated with the EF3.0). The life cycle inventory is not changed from the original EF3.0 data set. The LCIA results are calculated based on the EF3.1 methods which provide updated characterisation factors in the following impact categories: Climate Change, Ecotoxicity freshwater, Photochemical Ozone Formation, Acidification, Human Toxicity non-cancer, and Human Toxicity cancer. The review report and the data quality ratings refer to the original results. The data set has been updated by the European Commission on the basis of the original EF3.0 data set delivered by the data provider. |
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Class name
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Hierarchy level
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| General comment on data set | TYPE OF DATASET Each chemical compound is provided in aggregated (LCI results) and level-1 disaggregated (unit process, single operation) form. For more information, see the report (ecoinvent Association, 2020, Data on the Production of Chemicals created for the EU Product Environmental Footprint (PEF) transition phase implementation, www.ecoinvent.org, ecoinvent Association, Zurich, Switzerland). This dataset represents the LCI results. PROCESS DESCRIPTION This dataset represents the production of acetic acid using the Celanese process. Acetic acid is a clear, colorless, corrosive liquid that has a pungent vinegar-like odor. It is mainly used for the production of vinyl acetate and acetic anhydride. In the Celanese process (which was developed based on the Monsanto process), acetic acid is produced by carbonylation of methanol, using rhodium as catalyst (Le Berre et al. 2014). The activity starts when the raw materials enter the process. This activity ends with the production of acetic acid. The dataset includes the production process, including refining. 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 Le Berre, C., Serp, P., Kalck, P. and Torrence, G. P. 2014. Acetic Acid. 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. ecoinvent report No. 8, v2.0. EMPA Dübendorf, Swiss Centre for Life Cycle Inventories, Dübendorf, CH. 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. 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 Sphera. 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 Sphera. This ensures that every demand for energy and transport, in the foreground and in the background, is supplied by a Sphera dataset. BILL OF MATERIALS The bill of material includes the following inputs: carbon monoxide: 0.481 kg chemical factory, organics: 4e-10 unit methanol: 0.505 kg nitrogen, liquid: 0.019 kg water, decarbonised, at user: 0.154 kg wastewater, unpolluted: -6.14e-05 m3 Electricity: 0.580562168821 kWh Thermal energy (MJ): 1.66929326541 MJ. NOT INCLUDED EXCHANGES All known elementary exchanges are included. PROCESS DIAGRAM LEGEND The file 'Diagram of data for chemicals EF3.0' presents the general structure of the processes created for the EF chemical data. A complete flow diagram for the selected process is available in the relevant section. |
| Copyright | Yes |
| Owner of data set | |
| Quantitative reference | |
| Reference flow(s) | |
| Biogenic carbon content | |
| Time representativeness | |
| Data set valid until | 2024 |
| Technological representativeness | |
| Technology description including background system | The process represents the Celanese process (which is an optimized version of the Monsanto process) in which methanol reacts with carbon monoxide under the influence of a rhodium catalyst. It is assumed that 50% of the off-gas is burned as fuel, thus VOC emissions are reduced and CO2 is higher. |
| Flow diagram(s) or picture(s) | |
Modelling and validation
Administrative information
Inputs and Outputs
LCIA results