| Tags | Dieser Datensatz ist Bestandteil der ÖKOBAUDAT. |
Process information
| Key Data Set Information | |
| Location | DE |
| Geographical representativeness description | The data set represents the country specific situation in Germany, focusing on the main technologies, the region specific characteristics and / or import statistics. |
| Reference year | 2018 |
| Name |
Base name
; Quantitative product or process properties
Application paint emulsion, interior, wear resistant; 1 kg
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| Use advice for data set | The data set represents a cradle to gate inventory. It can be used to characterise the supply chain situation of the respective commodity in a representative manner. Combination with individual unit processes using this commodity enables the generation of user-specific (product) LCAs. |
| Technical purpose of product or process | This product can be used in construction. |
| Classification number | 5.5.02 |
| Classification |
Class name
:
Hierarchy level
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| General comment on data set | This data set has been modeled according to the European Standard EN 15804 for Sustainable Building. Results are depicted in modules that allow the structured expression of results over the entire life cycle. |
| Uncertainty margins | 10 |
| Description | Product system almost completely covered. Good technological, temporal and geographic representativeness. |
| Copyright | Yes |
| Owner of data set | |
| Quantitative reference | |
| Reference flow(s) |
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| Time representativeness | |
| Data set valid until | 2022 |
| Time representativeness description | Annual average |
| Technological representativeness | |
| Technology description including background system | The life cycle analysis of 1 kg wear resistant interior emulsion coating includes the life cycle phases cradle to gate and processing, i.e. manufacturing of raw and auxiliary materials as well as the production including packaging as well as the processing at the construction site (solvent emissions). The coating (painting) of houses and parts of houses like windows, parquet etc. is typically done on the builiding site by hand and without waste air treatment. This dataset accounts for this situation by including the application of the coating in the sope and by modelling all the NMVOCs included inthe coating material as NMVOC emissions to air. Since the transport of the coating material is specific to the special boundary conditions of the study, this transpoort is not included in the scope and shall be modeled individually by the user of the dataset. 2% of the coating material is modeled to be not used (packaging residue) and to be incinerated in a municipal waste incineration plant. The data sets represent exterior paints as well as first coatings. There are datasets for latex paints and precoats with a silicate and polymer base. Silicate paints have a soluble potassium as a bonding agent. The curing is achieved through silification (crystalline petrification) with the subgrade. Latex silicate paints are silicate paints with additives of maximum 5% organic constituents compared to the total weight of the coating material. Emulsion paints are water-containing, active paints with a polymer emulsion base in combination with dispersion bonding element. Emulsion paints combine the positive properties of mineral and polymer bound materials. Like latex paints, they are markedly water-based and at the same time, like silicate paints, are very vapour permeable. 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. |
| Pictogram of technology | |
Modelling and validation
| Subtype | generic dataset | ||||||||
| Data sources, treatment and representativeness | |||||||||
| Data source(s) used for this data set | |||||||||
| Completeness | |||||||||
| Validation | |||||||||
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| Compliance Declarations | |||||||||
| Compliance |
Compliance system name
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Approval of overall compliance
Fully compliant |
Nomenclature compliance
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Methodological compliance
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Review compliance
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Documentation compliance
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Quality compliance
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Administrative information
| Data entry by | |
| Time stamp (last saved) | 2019-12-04T10:05:31+01:00 |
| Data set format(s) | |
| Data entry by | |
| Publication and ownership | |
| UUID | 35be6146-5a80-4a9e-a32d-5d05c03a8d5c |
| Data set version | 20.19.120 |
| Owner of data set | |
| Copyright | Yes |
Environmental indicators
Indicators of life cycle