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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 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, Z\xc3\xbcrich, Switzerland
Gendorf (2016) Umwelterkl\xc3\xa4rung 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 D\xc3\xbcbendorf, Swiss Centre for Life Cycle Inventories, D\xc3\xbcbendorf, 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 \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:
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
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: 4.16e-15 kg
inland water bodies, Resources, Land occupation: 5.11e-05 m2*a
sodium hydroxide, Emissions to water, Emissions to water, unspecified: 2.87e-14 kg
sodium hypochlorite, Emissions to water, Emissions to water, unspecified: 5.35e-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 'Acetic acid production, aggregated inputs, RER.xml'
The following datasets from thinkstep are used as inputs of energy:
0.581 kWh of Electricity from Electricity grid mix 1kV-60kV - EU-28+3
0.252 MJ of Thermal energy (MJ) from Thermal energy from hard coal - EU-28+3
0.371 MJ of Thermal energy (MJ) from Thermal energy from light fuel oil (LFO) - EU-28+3
1.05 MJ of Thermal energy (MJ) from Thermal energy from natural gas - EU-28+3
The following datasets from thinkstep are used as inputs of transport:
0.00411 metric ton*km of Transport from Barge - EU-28+3
0.00832 metric ton*km of Transport from Barge - ROW w/o EU-28+3
0.0279 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight >32 t (without fuel) - EU-28+3
0.00205 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 20-26 t (without fuel) - EU-28+3
0.0121 metric ton*km of Transport from Articulated lorry transport, Total weight 20-26 t, mix Euro 0-5 - ROW w/o EU-28+3
0.00904 metric ton*km of Transport from Articulated lorry transport, Total weight 14-20 t, mix Euro 0-5 - ROW w/o EU-28+3
0.00603 metric ton*km of Transport from Articulated lorry transport, Total weight 28-32 t, mix Euro 0-5 - ROW w/o EU-28+3
0.00102 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 28-32 t (without fuel) - EU-28+3
0.00166 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 14-20 t (without fuel) - EU-28+3
0.00156 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight <7.5 t (without fuel) - EU-28+3
0.000128 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 12-14 t (without fuel) - EU-28+3
0.000287 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 7,5-12 t (without fuel) - EU-28+3
0.0258 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight >32 t (without fuel) - EU-28+3
0.000844 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight 20-26 t (without fuel) - EU-28+3
0.00136 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight 12-14 t (without fuel) - EU-28+3
0.00178 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight 14-20 t (without fuel) - EU-28+3
0.00102 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight <7.5 t (without fuel) - EU-28+3
0.000203 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight 7,5-12 t (without fuel) - EU-28+3
0.011 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight >32 t (without fuel) - EU-28+3
0.000555 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight 12-14 t (without fuel) - EU-28+3
0.000342 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight 20-26 t (without fuel) - EU-28+3
0.000726 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight 14-20 t (without fuel) - EU-28+3
0.000407 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight <7.5 t (without fuel) - EU-28+3
9.57e-05 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight 7,5-12 t (without fuel) - EU-28+3
0.302 metric ton*km of Transporting capacity from Transoceanic ship, containers - GLO
0.0762 metric ton*km of Transport from Freight train, diesel traction - EU-28+3
0.0772 metric ton*km of Transport from Freight train, electricity traction - EU-28+3
0.00331 metric ton*km of Transport from Freight train, average (without fuel) - EU-28+3 |
