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
Butyl Glycol Ethers; via ethylene oxide with butyl alcohol; Production mix, at plant; approx net calorific value: 29,8 MJ/kg
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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. Life Cycle Inventory (LCI) dataset to be used for implementing regular Product Environmental Footprint (PEF) studies and Organisation Environmental Footprint (OEF) studies. This dataset has been developed by an industry association and has not been officially tendered by EC. 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 used for solvent applications. |
Synonyms | 2-Butoxyethan-1-ol, ; 2-(2-Butoxyethoxy)ethanol ;2-[2-(2-Butoxyethoxy)ethoxy]ethanol CAS no: 111-76-2, 112-34-5, 143-22-6 |
Classification |
Class name
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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; Eastman Chemical Company, USA; INEOS Oxide, Switzerland; Sasol Germany GmbH, Germany. This primary data is completed by secondary background datasets. |
Copyright | Yes |
Owner of data set | |
Quantitative reference | |
Reference flow(s) |
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Time representativeness | |
Data set valid until | 2026 |
Time representativeness description | annual average |
Technological representativeness | |
Technology description including background system | Foreground system: Ethylene glycol butyl ether (EGBE), also called 2-Butoxyethanol, is a colourless liquid and one of the simplest glycol monoalkyl ethers. Ethylene glycol mono alkyl ethers are not manufactured as pure compounds but must be separated from the diethers and higher glycols. There are two common methods of producing ethylene glycol butyl ether: reaction of ethylene oxide with anhydrous butyl alcohol in the presence of a catalyst and direct alkylation of ethylene chlorohydrin or ethylene glycol using sodium hydroxide and an alkylating agent such as dibutyl sulfate. By far the dominant method of ethylene glycol butyl ether production is treatment of butyl alcohol with ethylene oxide. Depending on the molar ratios of the raw materials (the ratio of ethylene oxide to n-butanol greater than one initiates the production of di- and tri-ethylene glycol monoethers along with the EGBE), varying amounts the monoethylene, diethylene, triethylene and higher glycol ethers are obtained. Thus, the further treatment is the separation and purification by fractional distillation to obtain the desired product. 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 |
LCI method and allocation | |||||||||||||||||||||||||||||||
Type of data set | LCI result | ||||||||||||||||||||||||||||||
LCI Method Principle | Attributional | ||||||||||||||||||||||||||||||
Deviation from LCI method principle / explanations | None | ||||||||||||||||||||||||||||||
LCI method approaches |
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Deviations from LCI method approaches / explanations | Foreground system: For the foreground system, mass allocation was applied. CFF formula was applied to account for fuel/energy waste flows for recovery: B = 0 and with {D791CA86-8701-40C0-90A1-937E724051F6} accounting for the associated emission profile and credit of the energy recovery. Background system: For the combined heat and power production, allocation by exergetic content is applied. For the electricity generation and by-products, e.g. gypsum, allocation by market value is applied due to no common physical properties. Within the refinery allocation by net calorific value and mass is used. For the combined crude oil, natural gas and natural gas liquids production allocation by net calorific value is applied. For details please see the document "GaBi Databases Modelling Principles" | ||||||||||||||||||||||||||||||
Modelling constants | Direct land use change: GHG emissions from direct LUC allocated to good/service for 20 years after the LUC occurs. Carbon storage and delayed emissions: credits associated with temporary (carbon) storage or delayed emissions are not considered in the calculation of the EF for the default impact categories. Emissions off-setting: not included Fossil and biogenic carbon emissions and removals: removals and emissions are modelled as follows: All GHG emissions from fossil fuels (including peat and limestone) are modelled consistently with the ILCD list of elementary flows. In the case that the emissions refer to the molecules CO2 and CH4, they are modelled as ‘carbon dioxide (fossil)’ and ‘methane (fossil)’. Biogenic uptake and emissions are modelled separately. For land use change, all carbon emissions and uptakes are inventoried separately for each of the elementary flows. Soil carbon accumulation (uptake) via improved agricultural management is excluded from the model. | ||||||||||||||||||||||||||||||
Deviation from modelling constants / explanations | none | ||||||||||||||||||||||||||||||
LCA methodology report | |||||||||||||||||||||||||||||||
Data sources, treatment and representativeness | |||||||||||||||||||||||||||||||
Data cut-off and completeness principles | According to the GaBi 2020 LCI database and the EF3.0 reference package used for modelling of the background processes, at least 95% of mass and energy of the input and output flows were covered and 98% of their environmental relevance (according to expert judgment) was considered, hence an influence of cut-offs less than 1% on the total is expected Capital goods (including infrastructures) and their end of life are included unless the exclusion is clearly documented and conform with the cut-off principles. System boundaries include all known processes linked to the product supply chain. | ||||||||||||||||||||||||||||||
Deviation from data cut-off and completeness principles / explanations | None | ||||||||||||||||||||||||||||||
Data selection and combination principles | LCI modeling is fully consistent. Energy and transport datasets from the PEF energy and transports tender are consistently used. | ||||||||||||||||||||||||||||||
Deviation from data selection and combination principles / explanations | none | ||||||||||||||||||||||||||||||
Data treatment and extrapolations principles | Site specific data weighted by production volumes. | ||||||||||||||||||||||||||||||
Deviation from data treatment and extrapolations principles / explanations | none | ||||||||||||||||||||||||||||||
Documentation of data quality management | |||||||||||||||||||||||||||||||
Data source(s) used for this data set | |||||||||||||||||||||||||||||||
Percentage supply or production covered | 50.0 % | ||||||||||||||||||||||||||||||
Uncertainty adjustments | None | ||||||||||||||||||||||||||||||
Completeness | |||||||||||||||||||||||||||||||
Completeness of product model | No statement | ||||||||||||||||||||||||||||||
Supported impact assessment methods |
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Completeness elementary flows, per topic |
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Compliance Declarations |
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Quality compliance
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Compliance |
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Approval of overall compliance
Fully compliant |
Nomenclature compliance
Not defined |
Methodological compliance
Fully compliant |
Review compliance
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Documentation compliance
Fully compliant |
Quality compliance
Not defined |
Compliance |
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Approval of overall compliance
Not defined |
Nomenclature compliance
Fully compliant |
Methodological compliance
Not defined |
Review compliance
Not defined |
Documentation compliance
Not defined |
Quality compliance
Not defined |
Commissioner and goal | |
Commissioner of data set | |
Project | Eco-profile of three oxygenated solvent (groups): n-Butanol, Butyl Glycol Ethers, Acetone |
Intended applications | Life Cycle Inventory (LCI) datasets to be used in Product Environmental Footprint Category Rules (PEFCRs) and Organisation Environmental Footprint Sectoral Rules (OEFSRs) |
Data generator | |
Data set generator / modeller | |
Data entry by | |
Time stamp (last saved) | 2022-12-13T15:35:34.624+01:00 |
Data set format(s) | |
Data entry by | |
Official approval of data set by producer/operator | |
Publication and ownership | |
UUID | 1bb1d3f8-480b-4a7a-9862-bf6757775cdf |
Date of last revision | 2022-05-25T12:03:40.000 |
Data set version | 01.02.000 |
Preceding Data set version | |
Permanent data set URI | https://www.esig.org/green-deal/circularity-sustainability/ |
Workflow and publication status | Data set finalised; entirely published |
Owner of data set | |
Copyright | Yes |
Reference to entities with exclusive access | |
License type | Free of charge for some user types or use types |
Access and use restrictions | http://www.gabi-software.com/fileadmin/gabi/EULA_European_Commission_-_use_of_thinkstep_LCI_data.pdf |