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Process Data set: 5.6.025.6.02 Application coating water based glaze (facade); 1 kg (en) en de

Tags Dieser Datensatz ist Bestandteil der ÖKOBAUDAT.
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
5.6.025.6.02 Application coating water based glaze (facade); 1 kg
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 5.6.02
Classification
Class name : Hierarchy level
  • oekobau.dat: 5.6.02 Coverings / Varnishes and stains / Varnish systems for wooden facade
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)
Time representativeness
Data set valid until 2022
Time representativeness description Annual average
Technological representativeness
Technology description including background system 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. Paintings and varnishes consist usually of two to three components: a solid part, organic solvents and water. The solid parts contains the binder, the filling mass, additives, and depending on the paint hardener or pigments. The amount of the components in the painting/coating paint/varnish is defined by a receipe from the producer. In this case, the mixture proportions are 38,5% water, 1,5% solvents, 60% solids. Production can be summarized as follows: In the pigment mass additives and binders are added and then grinded in a mill. The other components (solvents or water and additives) are mixed before the mixture reaches the final filtration and filling station. There are almost no losses in production. The data set consists of the production of the varnish system as well as the processing (solvent emission) 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

Indicators of life cycle

IndicatorDirectionUnit Production
A1-A3
Installation
A5
De-construction
C1
Transport
C2
Waste processing
C3
Recycling Potential
D
Input
  • 4.144
  • 0.001628
  • 0
  • 0.001998
  • 0.1755
  • -1.023
Input
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
Input
  • 4.144
  • 0.001628
  • 0
  • 0.001998
  • 0.1755
  • -1.023
Input
  • 53.3
  • 0.007249
  • 0
  • 0.03431
  • 9.462
  • -3.855
Input
  • 8.8
  • 0
  • 0
  • 0
  • -8.8
  • 0
Input
  • 62.1
  • 0.007249
  • 0
  • 0.03431
  • 0.6616
  • -3.855
Input
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
Input
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
Input
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
Input
  • 0.0203
  • 0.0000489
  • 0
  • 0.000001789
  • 0.003777
  • -0.000478
Output
  • 3.747E-8
  • 2.091E-11
  • 0
  • 1.282E-9
  • 3.991E-9
  • -2.006E-9
Output
  • 0.03412
  • 0.0006781
  • 0
  • 0.000006023
  • 0.1039
  • -0.001751
Output
  • 0.0005805
  • 2.334E-7
  • 0
  • 3.613E-8
  • 0.00002479
  • -0.0001236
Output
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
Output
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
Output
  • 0
  • 0
  • 1.1
  • 0
  • 0
  • 0
Output
  • 0
  • 0.01524
  • 0
  • 0
  • 0.8839
  • 0
Output
  • 0
  • 0.03588
  • 0
  • 0
  • 2.315
  • 0

IndicatorUnit Production
A1-A3
Installation
A5
De-construction
C1
Transport
C2
Waste processing
C3
Recycling Potential
D
  • 2.737
  • 0.01217
  • 0
  • 0.002553
  • 0.8369
  • -0.2612
  • 2.157E-14
  • 9.126E-18
  • 0
  • 8.45E-19
  • 9.683E-16
  • -5.657E-15
  • 0.0004677
  • 0.003763
  • 0
  • -0.000001685
  • 0.00001361
  • -0.00002227
  • 0.003307
  • 0.000004958
  • 0
  • 0.000005157
  • 0.0001577
  • -0.000215
  • 0.0006125
  • 0.000001078
  • 0
  • 0.000001226
  • 0.00003701
  • -0.00004057
  • 6.301E-7
  • 9.887E-11
  • 0
  • 2.148E-10
  • 1.041E-8
  • -6.171E-8
  • 60.64
  • 0.00666
  • 0
  • 0.03422
  • 0.599
  • -3.543