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Process Data set: Electric socket; 1 piece (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
Electric socket; 1 piece
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 8.4.02
Classification
Class name : Hierarchy level
  • oekobau.dat: 8.4.02 Building service engineering / Electrical / Switches and sockets
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 20
Description Product system depicted except for a few missing processes / flows. Technological, temporal and geographic representativeness partly given.
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 Power outlet for a 220 V electricity supply consisting of cover, plug socket (Polycarbonate), assembly socket (steel sheet) and contacts (copper). The average life span for a power outlet is estimated to be 30 years. It is expected, that the recycling quote of big appliances like boilers, air conditioning, and ventilation systems is 95%. For pipes or cables which are often flush-mounted a 90% recycling quote is expected. The quotes are only related to metals and plastics. For mineral materials like mineral wool, concrete or ceramics inert landfilling is assumed, as well as for 5-10% of metals and plastics (e.g. cable waste and pipe pieces) that are not recycled. Plastics that are not recycled are introduced to the municipal waste incineration. For the MWI a European model with average emission values and energy production rates was used. Depending on the incinerated type of plastic, different processes with corresponding elemental compositions were used. Then dataset were set up in collaboration with the Confederation of European Waste-to-Energy Plants (CEWEP) and are available on the website of the European Platform on LCA [EC 2008]. Power and thermal energy produced in the MWI are accounted to the European power- and thermal energy mix. The credits for the metal recycling and the energetic recovery of plastics, as well as the emission and resource consumptions (energy for remelting, incineration emissions, landfilling) are included in the datasets. Iron materials (steel sheet, pipes, grey cast iron) already use a share of steel scrap at the production. These values are deducted from the recycled steel material before introduced to the melting to avoid a overvaluation of the credits. For the credits primary steel was used. Credits for the recycling of rare earth or mercury emissions from fluorescent lamps are not considered due to a lack of information. The assumed transport distance from building to recycling plant/landfilling site or MWI are 50km using a truck. The assumed distance to the steel, copper, and aluminium plant is 200km by train. 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
Transport
C2
Waste processing
C3
Recycling Potential
D
Input
  • 0.8578
  • 0.0004014
  • 0.002415
  • 0.03153
Input
  • 0
  • 0
  • 0
  • 0
Input
  • 0.8578
  • 0.0004014
  • 0.002415
  • 0.03153
Input
  • 4.733
  • 0.006895
  • 1.497
  • -0.3162
Input
  • 1.478
  • 0
  • -1.478
  • 0
Input
  • 6.211
  • 0.006895
  • 0.0184
  • -0.3162
Input
  • 0
  • 0
  • 0
  • 0
Input
  • 0
  • 0
  • 0
  • 0
Input
  • 0
  • 0
  • 0
  • 0
Input
  • 0.00147
  • 3.595E-7
  • 0.000004629
  • -0.0000465
Output
  • 6.705E-9
  • 2.576E-10
  • 2.804E-10
  • -3.572E-10
Output
  • 0.007609
  • 0.00000121
  • 0.09249
  • 0.0005385
Output
  • 0.0001008
  • 7.259E-9
  • 2.063E-7
  • 0.00000561
Output
  • 0
  • 0
  • 0
  • 0
Output
  • 0
  • 0
  • 0
  • 0
Output
  • 0
  • 0
  • 0
  • 0
Output
  • 0
  • 0
  • 0
  • 0
Output
  • 0
  • 0
  • 0
  • 0

IndicatorUnit Production
A1-A3
Transport
C2
Waste processing
C3
Recycling Potential
D
  • 0.3857
  • 0.0005058
  • 0.00126
  • -0.04135
  • 4.46E-15
  • 1.698E-19
  • 7.002E-18
  • 2.35E-16
  • 0.0001093
  • -0.000001112
  • 6.072E-7
  • -0.00001329
  • 0.001447
  • 0.00000289
  • 0.000008007
  • -0.0001213
  • 0.00008853
  • 7.34E-7
  • 9.009E-7
  • -0.000008224
  • 0.00004692
  • 4.317E-11
  • 1.278E-10
  • -0.000001493
  • 5.957
  • 0.006876
  • 0.01788
  • -0.3304