Process Data set: n-Butanol; Oxo synthesis, from propylene with rhodium catalyst; Production mix, at plant; 0.81 g/cm3, 74.12 g/mol (en)
Process information
| Key Data Set Information | |
| Location | EU+EFTA+UK |
| Geographical representativeness description | The data set represents the country specific situation in Europe, focusing on the main technologies, the region specific characteristics and / or import statistics. |
| Reference year | 2018 |
| Name |
Base name
; Treatment, standards, routes
; Mix and location types
; Quantitative product or process properties
n-Butanol; Oxo synthesis, from propylene with rhodium catalyst; Production mix, at plant; 0.81 g/cm3, 74.12 g/mol
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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. This dataset has been developed by an industry association and has NOT been officially tendered by EC. An officially tendered data set for the same product is already available at https://ecoinvent.lca-data.com/showProcess.xhtml?uuid=7e59f1a6-06f4-4447-bffb-b4d7d7aa9141&stock=EF3_0_Chemicals.The Commission recommends using the officially tendered dataset. ESIG confirms this dataset was developed in compliance with the Guide for EF compliant data sets (https://eplca.jrc.ec.europa.eu/permalink/Guide_EF_DATA.pdf) The datasets are specifically designed for these methodological requirements (see above) and the related LCIA methods (listed below) recommended in EF. |
| Technical purpose of product or process | The product is mainly used for solvent applications. |
| Synonyms | C4H10O, CAS 71-36-3, butyl alcohol |
| Classification |
Class name
:
Hierarchy level
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| General comment on data set | The data set covers all relevant process steps / technologies over the supply chain of the represented cradle to gate inventory with a very good overall data quality. The inventory is based on representative industry data collected for OSPA (Oxygenated Solvent Producers Association) and the following member companies: BASF SE, Germany INEOS Oxide, Switzerland, OQ Chemicals GmbH, Germany. This primary data is completed by secondary background datasets. |
| Copyright | Yes |
| Owner of data set | |
| Quantitative reference | |
| Reference flow(s) | |
| Time representativeness | |
| Data set valid until | 2026 |
| Time representativeness description | annual average |
| Technological representativeness | |
| Technology description including background system | Foreground system: N-butanol is produced by the Oxo synthesis process, also known as propylene hydroformylation. This low-pressure liquid-phase process combines liquid-phase propylene and aldehydes (a 1:1 mixture of hydrogen and carbon monoxide) in the presence of modified Rhodium catalysts to produce aldehydes, which are further hydrogenated to produce the butanol isomers. This process is typically optimized for production of n-butanol, with yields of up to 98% n-butanol. Transports and process waste treatment are included in this dataset. Background system: Electricity: Electricity is modelled according to the individual country-specific situations. The country-specific modelling is achieved on multiple levels. Firstly, individual energy carrier specific power plants and plants for renewable energy sources are modelled according to the current national electricity grid mix. Modelling the electricity consumption mix includes transmission / distribution losses and the own use by energy producers (own consumption of power plants and "other" own consumption e.g. due to pumped storage hydro power etc.), as well as imported electricity. Secondly, the national emission and efficiency standards of the power plants are modelled as well as the share of electricity plants and combined heat and power plants (CHP). Thirdly, the country-specific energy carrier supply (share of imports and / or domestic supply) including the country-specific energy carrier properties (e.g. element and energy content) are accounted for. Fourthly, the exploration, mining/production, processing and transport processes of the energy carrier supply chains are modelled according to the specific situation of each electricity producing country. The different production and processing techniques (emissions and efficiencies) in the different energy producing countries are considered, e.g. different crude oil production technologies or different flaring rates at the oil platforms. Thermal energy, process steam: The thermal energy and process steam supply is modelled according to the individual country-specific situation with regard to emission standards and considered energy carriers. The thermal energy and process steam are produced at heat plants. Efficiencies for thermal energy production are by definition 100% in relation to the corresponding energy carrier input. For process steam the efficiency ranges from 85%, 90% to 95%. The energy carriers used for the generation of thermal energy and process steam are modelled according to the specific import situation (see electricity above). Transports: All relevant and known transport processes are included. Ocean-going and inland ship transport as well as rail, truck and pipeline transport of bulk commodities are considered. Energy carriers: The energy carriers are modelled according to the specific supply situation (see electricity above). Refinery products: Diesel fuel, gasoline, technical gases, fuel oils, lubricants and residues such as bitumen are modelled with a parameterised country-specific refinery model. The refinery model represents the current national standard in refining techniques (e.g. emission level, internal energy consumption, etc.) as well as the individual country-specific product output spectrum, which can be quite different from country to country. The supply of crude oil is modelled, again, according to the country-specific situation with the respective properties of the resources. |
| Flow diagram(s) or picture(s) | |
| Mathematical model | |
| Model description | For mathematical model details concerning the implementation of the CCF formula see: http://www.gabi-software.com/fileadmin/GaBi_Databases/PEF_CFF_model_description.pdf |
Modelling and validation
Administrative information
Inputs and Outputs
LCIA results