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Process Data set: TD65DRA100 tubular frame door with flush glazing (en) en

Key Data Set Information
Location DE
Geographical representativeness description European Union
Reference year 2024
Name
TD65DRA100 tubular frame door with flush glazing
Technical purpose of product or process The flexible width and height of the TD65DRA100 tubular frame door with flush glazing make it easy to create architectural designs for open building structures. The tubular frame door with flush glazing elements are quick to install and reconfigure. It is possible to completely reposition door elements without any material waste, or to replace them with other partition elements. Due to its modular design, the tubular frame door element can be reassembled, dismantled and extended. Thus, it is suitable for circular construction.
General comment on data set This is a representative EPD for 1 m² of TD65DRA100 tubular frame door with flush glazing, produced by Goldbach Kirchner raumconcepte GmbH.  The weight per m² is 49 kg including the door frame. The frame size is based on the average door element. The TD65DRA100 consists of a 100 mm tubular door leaf set in an aluminum frame with a face width of 34/64 mm.  The aluminum frame is secured to the internal load-bearing steel profiles using screws. With a frame thickness of 100 mm, it is compatible with all Goldbach Kirchner partition wall systems. The design is characterized by high flexibility, reusability, and the ability to separate materials by type. Materialm.-% of materialglass52.5aluminium frame34.6steel profiles7.0door hardware2.5sealing<1gypsum<1screws<1steel parts<1fleece<1glue<1 The most important, tested-for technical properties for the product have been laid out in the following table. PropertyUnitDeclared valueStandardFrame thicknessmm100 Airborne sound insulation Rw,p38 - 47 dBDIN EN ISO 140-3 / DIN EN ISO 717-1Structural strength  DIN 4103-1:2015-06 The quality level of geographical representativeness can be considered “good”. The quality level of technical representativeness can be considered “good”. The quality level of time representativeness can also be regarded as “good”. The overall data quality for this EPD can, therefore, be described as “good”. All relevant process-specific data were collected during data collection.  In all possible cases, primary data from customers was used, which has very good data quality because it comes directly from the source. In addition, secondary data from the ecoinvent database (2022, version 3.9.1) was used when no primary data could be supplied. The database is checked regularly and, therefore, meets the requirements of DIN EN ISO 14040/44 (background data not older than 10 years). The background data meets the requirements of EN 15804+A2. The quantities of raw materials, consumables and supplies used and the energy consumption were recorded and averaged over the entire operating year. The general rule that specific data from certain production processes or average data derived from certain processes must take precedence when calculating an EPD or LCA was adhered to. Data for processes over which the manufacturer has no influence were assigned to generic data/scenarios. When selecting these, care was taken to always choose the data set/scenario that most realistically represents the processes. A payload factor of 50 percent was used for all truck transports, which in fact corresponds to a full delivery and empty return trip. A data set for a non-specific truck was used for the supplier transportation. As the finalized product is delivered to the clients by internal logistics the transport in A4 is modelled using a >32t, EURO6 truck, which corresponds to the trucks used. Due to multiple locations being visited by the same truck daily, it never returns empty, picking up reusable packaging material. This has not been considered in the LCA, where a 50% load and an empty return have been assumed. As the construction of the product at the construction site is carried out by handheld power tools, no input has been created for A5. The demolition at end-of-life is assumed to be carried out manually, and therefore no energy consumption has been considered for C1. For the end-of-life scenario, it is assumed that the different material fractions of the product can be separated and treated individually. Therefore, material-specific end-of-life scenarios based on the default assumptions of EN 17213 were applied. Metal components: 95% recycling and 5% landfill. Plastic components: 95% incineration with energy recovery and 5% landfill. Glass components: 70% recycling and 30% landfill.
Copyright Yes
Owner of data set
Quantitative reference
Reference flow(s)
  • TD65DRA100 tubular frame door with flush glazing
    - 1.0 * 1.0 qm (Area)
Biogenic carbon content
  • Carbon content (biogenic): 0.08115 kg
  • Carbon content (biogenic) - packaging: 1.2444285086524 kg
Time representativeness
Data set valid until 2031
Time representativeness description All process-specific data was collected for the period between the 01.01.2024 and the 31.12.2024. The quantities of raw materials, consumables and supplies used and the energy consumption were recorded and averaged over the entire 2024 operating year. The reference area is Germany.&nbsp;
Technological representativeness
Technology description including background system The door system is assembled with power tools at the construction site.
Flow diagram(s) or picture(s)
  • Product Picture Image

Indicators of life cycle

IndicatorDirectionUnit Raw material supply
A1
Production
A1-A3
Transport
A2
Manufacturing
A3
Transport
A4
Installation
A5
Transport
C2
Waste processing
C3
Disposal
C4
Recycling Potential
D
Input
  • 378.3
  • 383.2
  • 0.38
  • 4.579
  • 0.3649
  • 13.86
  • 0.08998
  • 4.383
  • 0.05862
  • -725.7
Input
  • 8.913
  • 45.57
No records found.
  • 36.66
No records found.
  • 1.367
No records found.
No records found.
No records found.
No records found.
Input
  • 1714
  • 1749
  • 26.92
  • 8.816
  • 24.95
  • 63.51
  • 6.375
  • 39.39
  • 1.68
  • -1998
Input
  • 30.59
  • 69.7
No records found.
  • 39.11
No records found.
  • 2.091
No records found.
No records found.
No records found.
No records found.
Input
  • 21.73
  • 24.96
No records found.
  • 3.231
No records found.
  • 0.7006
No records found.
No records found.
No records found.
  • 16.62
Input
  • 1.178
  • 1.105
  • 0.006497
  • -0.07944
  • 0.003914
  • 0.04913
  • 0.001538
  • 0.02588
  • 0.001766
  • -3.949
Output
  • 0.006048
  • 0.05953
  • 0.0001714
  • 0.05331
  • 0.000155
  • 0.004566
  • 0.00004059
  • 0.1064
  • 0.000007458
  • 0.1489
Output
  • 30.16
  • 31.9
  • 1.776
  • -0.03122
  • 2.186
  • 3.905
  • 0.4207
  • 2.918
  • 9.026
  • -41.93
Output
  • 0.04049
  • 0.04349
  • 0.000006151
  • 0.003
  • 0.000007603
  • 0.001326
  • 0.000001457
  • 0.00008168
  • 8.032E-7
  • -0.004875
Output
  • 0.2324
  • 2.258
No records found.
  • 2.025
No records found.
  • 2.689
No records found.
  • 39.04
No records found.
No records found.
Output
  • 0.005375
  • 0.006182
No records found.
  • 0.0008063
No records found.
  • 0.0001855
No records found.
No records found.
No records found.
No records found.
Output
  • 0.1826
  • 0.3543
No records found.
  • 0.1717
No records found.
  • 0.005515
No records found.
No records found.
No records found.
  • 11.99
Output
  • 0.3418
  • 0.6383
No records found.
  • 0.2964
No records found.
  • 0.01034
No records found.
No records found.
No records found.
  • 20.64

IndicatorUnit Raw material supply
A1
Production
A1-A3
Transport
A2
Manufacturing
A3
Transport
A4
Installation
A5
Transport
C2
Waste processing
C3
Disposal
C4
Recycling Potential
D
  • 1745
  • 1.82E+3
  • 26.88
  • 47.86
  • 24.95
  • 65.61
  • 6.365
  • 39.38
  • 1.68
  • -1998
  • 0.003102
  • 0.003317
  • 0.000005877
  • 0.0002094
  • 0.000004597
  • 0.00009986
  • 0.000001392
  • 0.0001091
  • 1.217E-7
  • 0.001522
  • 0.8192
  • 0.8007
  • 0.008985
  • -0.02757
  • 0.004069
  • 0.02974
  • 0.002128
  • 0.02146
  • 0.0005228
  • -1.052
  • 0.000003402
  • 0.000003452
  • 3.339E-8
  • 1.704E-8
  • 3.73E-8
  • 1.764E-7
  • 7.907E-9
  • 1.279E-7
  • 2.014E-9
  • -0.000003664
  • 0.001196
  • 0.0009801
  • 0.00001867
  • -0.0002349
  • 0.00001378
  • 0.00005702
  • 0.000004421
  • 0.0001091
  • 0.00000137
  • -0.005837
  • 0.1318
  • 0.1392
  • 0.003415
  • 0.003951
  • 0.001086
  • 0.00545
  • 0.0008086
  • 0.004048
  • 0.0001893
  • -0.1386
  • 1.582
  • 1.634
  • 0.03642
  • 0.01624
  • 0.01138
  • 0.06293
  • 0.008625
  • 0.0454
  • 0.00203
  • -1.563
  • 0.4053
  • 0.4145
  • 0.01243
  • -0.003244
  • 0.006644
  • 0.0172
  • 0.002944
  • 0.01482
  • 0.0007637
  • -0.5967
  • -0.265
  • -4.691
  • 0.0006114
  • -4.427
  • 0.0005505
  • 4.541
  • 0.0001448
  • 0.0725
  • 0.0001226
  • -0.6213
  • 140.9
  • 143.6
  • 1.877
  • 0.8489
  • 1.644
  • 7.12
  • 0.4444
  • 7.569
  • 0.08594
  • -160.3
  • 0.07205
  • -0.1556
  • 0.00669
  • -0.2343
  • 0.0008019
  • 0.004273
  • 0.001584
  • 0.004925
  • 0.00004588
  • -2.864
  • 140.7
  • 138.7
  • 1.884
  • -3.813
  • 1.645
  • 11.66
  • 0.4461
  • 7.646
  • 0.08611
  • -163.8
  • 19.85
  • 24.05
  • 0.1468
  • 4.056
  • 0.1191
  • 0.9519
  • 0.03476
  • 0.5976
  • 0.01806
  • -38.24

IndicatorUnit Raw material supply
A1
Production
A1-A3
Transport
A2
Manufacturing
A3
Transport
A4
Installation
A5
Transport
C2
Waste processing
C3
Disposal
C4
Recycling Potential
D
1This impact category deals mainly with the eventual impact of low dose ionizing radiation on human health of the nuclear fuel cycle. It does not consider effects due to possible nuclear accidents, occupational exposure nor due to radioactive waste disposal in underground facilities. Potential ionizing radiation from the soil, from radon and from some construction materials is also not measured by this indicator.
2The results of this environmental impact indicator shall be used with care as the uncertainties on these results are high or as there is limited experiences with the indicator.
Potential Comparative Toxic Unit for ecosystems (ETP-fw) 2
  • 2679
  • 2722
  • 19.84
  • 23.2
  • 12
  • 109.4
  • 4.697
  • 55.63
  • 9.759
  • -394.7
Potential Comparative Toxic Unit for humans - cancer effects (HTP-c) 2
  • 0.000003967
  • 0.000003949
  • 9.94E-10
  • -1.81E-8
  • 7.311E-10
  • 1.204E-7
  • 2.354E-10
  • 3.773E-9
  • 4.824E-11
  • -3.302E-7
Potential Comparative Toxic Unit for humans - non-cancer effects (HTP-nc) 2
  • 0.0004586
  • 0.0004585
  • 2.159E-8
  • -1.145E-7
  • 1.783E-8
  • 0.00001377
  • 5.113E-9
  • 1.319E-7
  • 8.108E-10
  • -0.000002069
Potential Human exposure efficiency relative to U235 (IRP) 1
  • 1.911
  • 1.55
  • 0.01049
  • -0.3717
  • 0.012
  • 0.07528
  • 0.002483
  • 0.1077
  • 0.001334
  • -6.534
Potential incidence of disease due to PM emissions (PM) 2
  • 0.000004149
  • 0.000003586
  • 1.853E-7
  • -7.491E-7
  • 1.623E-7
  • 1.837E-7
  • 4.388E-8
  • 3.412E-7
  • 1.104E-8
  • -0.00001225
Potential Soil quality index (SQP) 2
  • 196.1
  • 457.4
  • 21.21
  • 2.4E+2
  • 25.32
  • 17.39
  • 5.023
  • 34.3
  • 3.099
  • -224.4