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Process Data set: Sewer pipe GFK; glass-fibre reinforced (en) en de

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 2023
Name
Base name ; Quantitative product or process properties
Sewer pipe GFK; glass-fibre reinforced
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 6.1.02
Classification
Class name : Hierarchy level
  • oekobau.dat: 6.1.02 Plastics / Tubes / Sewer tube
General comment on data set This data set has been modeled according to the European Standard EN 15804+A2 for Sustainable Building. Results are depicted in modules that allow the structured expression of results over the entire life cycle.
Uncertainty margins 30
Description Processes / flows can be missing or estimated. Strongly restricted technological, temporal or geographical representativeness.
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 The life cycle analysis of the sewer pipe GFK includes the life cycle phases cradle to gate. The pipe manufactured in a centrifugal casting process consists mainly of the raw materials finely ground quartz sand, polyester resin and limestone powder. The system boundary is the finished product with different diameters and weights per serial meter (density 1,7-2,2g/cm3). Transports from the factory to the mounting location are not taken into account and have to be incorporated in a system approach. In module C1, a manual dismantling (no loads) is assumed, collecting losses are neglected. The transport in module C2 to the recycling plant takes place with a truck (50km). Module C3 takes into account the grinding and thermal treatment (combustion) of the material. When calculating combustion emissions and credits, the specific calorific value of each material and the material composition are taken into account. In module D credits for the substitution of electricity (German electricity mix) and thermal energy (from natural gas) are given.
Pictogram of technology

Indicators of life cycle

IndicatorDirectionUnit Production
A1-A3
Transport
C2
Waste processing
C3
Recycling Potential
D
Input
  • 4.945
  • 0.002499
  • 0.1165
  • -0.9887
Input
  • 0
  • 0
  • 0
  • 0
Input
  • 4.945
  • 0.002499
  • 0.1165
  • -0.9887
Input
  • 14.22
  • 0.02258
  • 25.01
  • -2.262
Input
  • 19
  • 0
  • -19
  • 0
Input
  • 33.22
  • 0.02258
  • 6.008
  • -2.262
Input
  • 0
  • 0
  • 0
  • 0
Input
  • 0
  • 0
  • 0
  • 0
Input
  • 0
  • 0
  • 0
  • 0
Input
  • 0.005824
  • 0.000002335
  • 0.001362
  • -0.0003023
Output
  • 1.183E-8
  • 1.099E-12
  • 2.624E-10
  • -2.109E-9
Output
  • 0.07273
  • 0.000003818
  • 0.0606
  • -0.00135
Output
  • 0.0004258
  • 3.594E-8
  • 0.000009915
  • -0.00005349
Output
  • 0
  • 0
  • 0
  • 0
Output
  • 0
  • 0
  • 0
  • 0
Output
  • 0
  • 0
  • 0
  • 0
Output
  • 0
  • 0
  • 0.7126
  • 0
Output
  • 0
  • 0
  • 1.651
  • 0

IndicatorUnit Production
A1-A3
Transport
C2
Waste processing
C3
Recycling Potential
D
  • 1.758
  • 0.001761
  • 0.6067
  • -0.1619
  • 0.008716
  • 0.000007569
  • 0.00009984
  • -0.001359
  • 1.749
  • 0.00172
  • 0.6066
  • -0.1605
  • 0.0004355
  • 0.00003308
  • 0.00003906
  • -0.00001974
  • 1.044E-11
  • 5.431E-16
  • 2.402E-13
  • -2.434E-12
  • 0.004021
  • 0.000002204
  • 0.00006375
  • -0.0001476
  • 0.004137
  • 0.00000227
  • 0.0001032
  • -0.0001598
  • 0.008606
  • 0.000009774
  • 0.0004773
  • -0.0005956
  • 0.000003574
  • 4.683E-9
  • 5.435E-8
  • -3.95E-7
  • 0.000795
  • 8.044E-7
  • 0.00002287
  • -0.000056
  • 0.07928
  • 0.00001233
  • 0.05674
  • -0.002089
  • 1.652E-7
  • 2.919E-10
  • 2.033E-9
  • -1.502E-8
  • 38.92
  • 0.02258
  • 0.3082
  • -2.262