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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 product has different commercial names, such as Luperox\xc2\xae 101 and Trigonox 101. See, for example, the list of names offered in Haz-Map\xc2\xae: Information on Hazardous Chemicals and Occupational Diseases by Jay A. Brown, M.D., M.P.H. (https://hazmap.nlm.nih.gov/) U.S.National Library of Medicine. As a product, it is 'Used to vulcanize or cross-link elastomers and polyolefins; [ExPub: EPA - TSCATS] Used as a polymer additive, crosslinking agent, for curing resins, and to make belting, rubber and plastic hose, other rubber products, and plastics; [ExPub: Government of Canada: Screening Assessment]\xe2\x80\x9d (from the sources/uses section of Haz-Map, retrieved from: https://hazmap.nlm.nih.gov/category-details?id=19492&table=copytblagents, accessed 27 January 2017).
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
Klenk, H. et al. 2000. Peroxy Compounds, Organic. In Ullmann's Encyclopedia of Industrial Chemistry, Electronic Release, Vol.26, pp.325-360. Wiley-VCH, Weinheim.
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:
2-methyl-2-butanol: 0.382663448467 kg
chemical factory, organics: 3.97683688348e-10 unit
heat, in chemical industry: 0.385504625393 MJ
nitrogen, liquid: 0.0188899751965 kg
sulfuric acid: 0.336357787256 kg
tap water: 0.0258494397426 kg
wastewater, average: -2.68436489635e-06 m3
Electricity: 0.431558734866 kWh
Thermal energy (MJ): 2.49891462486 MJ
2,5-dimethylhexane-2,5-dihydroperoxide: 0.773701504968 kg.
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: 1.98e-15 kg
inland water bodies, Resources, Land occupation: 8.5e-05 m2*a
sodium hydroxide, Emissions to water, Emissions to water, unspecified: 7.76e-14 kg
sodium hypochlorite, Emissions to water, Emissions to water, unspecified: 1.44e-13 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 '2,5-Bis(tert-butylperoxy)-2,5-dimethylhexane production, aggregated inputs, GLO.xml'
The following datasets from thinkstep are used as inputs of energy:
0.000102 kWh of Electricity from Electricity grid mix 1kV-60kV - SG
0.486 MJ of Thermal energy (MJ) from Thermal energy from natural gas - RU
0.00752 MJ of Thermal energy (MJ) from Thermal energy from natural gas - AU
0.0225 kWh of Electricity from Electricity grid mix 1kV-60kV - CN
0.0245 MJ of Thermal energy (MJ) from Thermal energy from natural gas - CA
2.54e-05 kWh of Electricity from Electricity grid mix 1kV-60kV - OM
4.89e-05 kWh of Electricity from Electricity grid mix 1kV-60kV - MA
4.7e-05 kWh of Electricity from Electricity grid mix 1kV-60kV - KZ
0.197 MJ of Thermal energy (MJ) from Thermal energy from hard coal - RAS
0.141 kWh of Electricity from Electricity grid mix 1kV-60kV - EU-28+3
0.0164 MJ of Thermal energy (MJ) from Thermal energy from light fuel oil (LFO) - BR
0.000195 kWh of Electricity from Electricity grid mix 1kV-60kV - TR
0.0292 MJ of Thermal energy (MJ) from Thermal energy from natural gas - SA
0.00115 kWh of Electricity from Electricity grid mix 1kV-60kV - NZ
5.91e-06 kWh of Electricity from Electricity grid mix 1kV-60kV - CD
0.281 MJ of Thermal energy (MJ) from Thermal energy from light fuel oil (LFO) - EU-28+3
0.0113 MJ of Thermal energy (MJ) from Thermal energy from natural gas - RAS
0.00665 kWh of Electricity from Electricity grid mix 1kV-60kV - AU
8.41e-05 kWh of Electricity from Electricity grid mix 1kV-60kV - DZ
0.012 MJ of Thermal energy (MJ) from Thermal energy from hard coal - AU
2.01e-05 kWh of Electricity from Electricity grid mix 1kV-60kV - LK
6.64e-05 kWh of Electricity from Electricity grid mix 1kV-60kV - KW
0.00012 kWh of Electricity from Electricity grid mix 1kV-60kV - VE
0.000151 kWh of Electricity from Electricity grid mix 1kV-60kV - AR
0.00587 MJ of Thermal energy (MJ) from Thermal energy from light fuel oil (LFO) - SA
0.0479 MJ of Thermal energy (MJ) from Thermal energy from hard coal - RSA
0.0111 MJ of Thermal energy (MJ) from Thermal energy from natural gas - TR
0.238 MJ of Thermal energy (MJ) from Thermal energy from hard coal - RNA
0.0142 MJ of Thermal energy (MJ) from Thermal energy from light fuel oil (LFO) - RU
0.085 MJ of Thermal energy (MJ) from Thermal energy from light fuel oil (LFO) - JP
0.00011 kWh of Electricity from Electricity grid mix 1kV-60kV - IL
0.00898 MJ of Thermal energy (MJ) from Thermal energy from light fuel oil (LFO) - TR
0.0132 MJ of Thermal energy (MJ) from Thermal energy from natural gas - RNA
0.0211 MJ of Thermal energy (MJ) from Thermal energy from light fuel oil (LFO) - CA
7.37e-05 kWh of Electricity from Electricity grid mix 1kV-60kV - EG
0.000148 kWh of Electricity from Electricity grid mix 1kV-60kV - AE
0.0265 kWh of Electricity from Electricity grid mix 1kV-60kV - RSA
9.01e-05 kWh of Electricity from Electricity grid mix 1kV-60kV - PK
0.0155 MJ of Thermal energy (MJ) from Thermal energy from light fuel oil (LFO) - IN
0.042 MJ of Thermal energy (MJ) from Thermal energy from light fuel oil (LFO) - CN
1.54e-05 kWh of Electricity from Electricity grid mix 1kV-60kV - KE
0.00988 kWh of Electricity from Electricity grid mix 1kV-60kV - RAF
2.57e-05 kWh of Electricity from Electricity grid mix 1kV-60kV - IQ
0.0766 MJ of Thermal energy (MJ) from Thermal energy from natural gas - US
0.132 kWh of Electricity from Electricity grid mix 1kV-60kV - RNA
0.0902 kWh of Electricity from Electricity grid mix 1kV-60kV - RAS w/o CN
0.00532 MJ of Thermal energy (MJ) from Thermal energy from light fuel oil (LFO) - ID
0.0129 MJ of Thermal energy (MJ) from Thermal energy from light fuel oil (LFO) - AU
0.573 MJ of Thermal energy (MJ) from Thermal energy from natural gas - ROW
0.00916 MJ of Thermal energy (MJ) from Thermal energy from natural gas - BR
0.234 MJ of Thermal energy (MJ) from Thermal energy from light fuel oil (LFO) - US
0.000863 kWh of Electricity from Electricity grid mix 1kV-60kV - RU
9.23e-05 kWh of Electricity from Electricity grid mix 1kV-60kV - NG
0.0173 MJ of Thermal energy (MJ) from Thermal energy from natural gas - KR
3.54e-05 kWh of Electricity from Electricity grid mix 1kV-60kV - QA
0.00306 MJ of Thermal energy (MJ) from Thermal energy from natural gas - RSA
8.47e-05 kWh of Electricity from Electricity grid mix 1kV-60kV - PH
6.14e-06 kWh of Electricity from Electricity grid mix 1kV-60kV - PY
The following datasets from thinkstep are used as inputs of transport:
0.00585 metric ton*km of Transport from Barge - EU-28+3
0.0118 metric ton*km of Transport from Barge - ROW w/o EU-28+3
0.0397 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight >32 t (without fuel) - EU-28+3
0.00291 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 20-26 t (without fuel) - EU-28+3
0.0171 metric ton*km of Transport from Articulated lorry transport, Total weight 20-26 t, mix Euro 0-5 - ROW w/o EU-28+3
0.0129 metric ton*km of Transport from Articulated lorry transport, Total weight 14-20 t, mix Euro 0-5 - ROW w/o EU-28+3
0.00857 metric ton*km of Transport from Articulated lorry transport, Total weight 28-32 t, mix Euro 0-5 - ROW w/o EU-28+3
0.00146 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 28-32 t (without fuel) - EU-28+3
0.00237 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 14-20 t (without fuel) - EU-28+3
0.00222 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight <7.5 t (without fuel) - EU-28+3
0.000182 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 12-14 t (without fuel) - EU-28+3
0.000408 metric ton*km of Transport from Articulated lorry transport, Euro 3, Total weight 7,5-12 t (without fuel) - EU-28+3
0.0367 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight >32 t (without fuel) - EU-28+3
0.0012 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight 20-26 t (without fuel) - EU-28+3
0.00193 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight 12-14 t (without fuel) - EU-28+3
0.00253 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight 14-20 t (without fuel) - EU-28+3
0.00145 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight <7.5 t (without fuel) - EU-28+3
0.000289 metric ton*km of Transport from Articulated lorry transport, Euro 4, Total weight 7,5-12 t (without fuel) - EU-28+3
0.0156 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight >32 t (without fuel) - EU-28+3
0.000789 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight 12-14 t (without fuel) - EU-28+3
0.000486 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight 20-26 t (without fuel) - EU-28+3
0.00103 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight 14-20 t (without fuel) - EU-28+3
0.000578 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight <7.5 t (without fuel) - EU-28+3
0.000136 metric ton*km of Transport from Articulated lorry transport, Euro 5, Total weight 7,5-12 t (without fuel) - EU-28+3
0.431 metric ton*km of Transporting capacity from Transoceanic ship, containers - GLO
0.108 metric ton*km of Transport from Freight train, diesel traction - EU-28+3
0.11 metric ton*km of Transport from Freight train, electricity traction - EU-28+3
0.0045 metric ton*km of Transport from Freight train, average (without fuel) - EU-28+3 |
