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Process Data set: Christina Sofa System - 3 seater with armrest D (en) en

Key Data Set Information
Location EE
Geographical representativeness description Europa and USA
Reference year 2025
Name
Christina Sofa System - 3 seater with armrest D
Technical purpose of product or process Christina modular sofa offers unique seating comfort and a timeless and stylish design. The modular sofa gives you the freedom to decide for yourself how the sofa should look. Play around with the harmonious composition of elements and details that suits your heart, your style, your space. - Reversible back and seat cushion - Molded seat cushions - 1 decorative cushion per side (not for 1s) - Standard or deep seat cushion - Firm or soft back cushion - Furniture facts - Wooden or steel frame - Various leg variants - Various armrest variants - Removable and waterproof seat cover - Armrest protectors (pair) - Headrest
Classification
Class name : Hierarchy level
  • EPDNorge: Furniture / Soft seating
General comment on data set Data quality: Specific data for the product composition are provided by the manufacturer. They represent the production of the declared product and were collected for EPD development in the year of study. Background data is based on registered EPDs according to EN 15804, Ostfold Research databases, ecoinvent and other LCA databases. The data quality of the raw materials in A1 is presented in the table below. Allocation: The allocation is made in accordance with the provisions of EN 15804. Incoming energy and water and waste production in-house is allocated equally among all products through mass allocation. Effects of primary production of recycled materials is allocated to the main product in which the material was used. The recycling process and transportation of the material is allocated to this analysis. Cut-off criteria: All major raw materials and all the essential energy is included. The production processes for raw materials and energy flows with very small amounts (less than 1%) are not included. These cut-off criteria do not apply for hazardous materials and substances.
Copyright Yes
Owner of data set
Quantitative reference
Reference flow(s)
Biogenic carbon content
  • Carbon content (biogenic): 11.1363636475 kg
  • Carbon content (biogenic) - packaging: 1.2037037038 kg
Time representativeness
Data set valid until 2030
Time representativeness description 2025-05-07 - 2030-05-07
Technological representativeness
Technology description including background system Width: 186cm, Height: 84cm, Depth: 53cm, Seat height 47cm, Weight: 45,80kg (without cardboard) The product is tested and approved according to the following standards: The testing laboratory has been accredited by the Latvian National Accreditation Bureau LATAK in accordance with the requirements of LVS EN ISO/IEC 17025:2017 and has been assigned registration No. T-316. NS-EN 16139: 2013 NS-EN 1022: 2005 NS-EN 1335-3: 2005 NS-EN 1728: 2012

Indicators of life cycle

IndicatorDirectionUnit Production
A1-A3
Transport
A4
Installation
A5
Maintenance
B2
Repair
B3
Replacement
B4
De-construction
C1
Transport
C2
Waste processing
C3
Disposal
C4
Recycling Potential
D
Input
  • 1202
  • 2.711
  • 0.01562
  • 20.46
  • 0
  • 0
  • 0
  • 0.158
  • 0.4775
  • 0.03217
  • -322.2
Input
  • 358
  • 0
  • -3.803
  • 0
  • 0
  • 0
  • 0
  • 0
  • -342.8
  • 0
  • 0
Input
  • 1.56E+3
  • 2.711
  • -3.787
  • 20.46
  • 0
  • 0
  • 0
  • 0.158
  • -342.3
  • 0.03217
  • -322.2
Input
  • 2314
  • 57.15
  • 0.6697
  • 107.1
  • 0
  • 0
  • 0
  • 3.489
  • 16.83
  • 0.6223
  • -54.77
Input
  • 627.5
  • 0
  • -67.95
  • 0
  • 0
  • 0
  • 0
  • 0
  • -559.6
  • 0
  • 0
Input
  • 2942
  • 57.15
  • -67.28
  • 107.1
  • 0
  • 0
  • 0
  • 3.489
  • -542.7
  • 0.6223
  • -54.77
Input
  • 2.81
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
Input
  • 1.743
  • 0.08877
  • 0.0004265
  • 1.496
  • 0
  • 0
  • 0
  • 0.005134
  • 0.01147
  • 0.0008027
  • -0.04507
Input
  • 1.23
  • 0.3083
  • 0.001237
  • 0.3927
  • 0
  • 0
  • 0
  • 0.0177
  • 0
  • 0.1409
  • -18.76
Input
  • 2.893
  • 0.02389
  • 0.0003457
  • 0.8715
  • 0
  • 0
  • 0
  • 0.001427
  • 0.05674
  • 0.0005692
  • -0.3885
Output
  • 0.7274
  • 0.008179
  • 0
  • 0.01628
  • 0
  • 0
  • 0
  • 0.0004895
  • 0
  • 1.36
  • -0.00408
Output
  • 19.97
  • 8.033
  • 2.25
  • 0.4023
  • 0
  • 0
  • 0
  • 0.5188
  • 0.45
  • 0.4708
  • -1.36
Output
  • 0.006254
  • 0.0002264
  • 0
  • 0.0007587
  • 0
  • 0
  • 0
  • 0.00001397
  • 0
  • 0.000003753
  • -0.0002721
Output
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
Output
  • 0.05307
  • 0
  • 1.421
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0.3563
  • 0
  • 0
Output
  • 0.602
  • 0
  • 0.00008088
  • 0
  • 0
  • 0
  • 0
  • 0
  • 45.8
  • 0
  • 0
Output
  • 0.3528
  • 0
  • 0.0373
  • 0
  • 0
  • 0
  • 0
  • 0
  • 39.82
  • 0
  • 0
Output
  • 5.338
  • 0
  • 0.5643
  • 0
  • 0
  • 0
  • 0
  • 0
  • 602.5
  • 0
  • 0

IndicatorUnit Production
A1-A3
Transport
A4
Installation
A5
Maintenance
B2
Repair
B3
Replacement
B4
De-construction
C1
Transport
C2
Waste processing
C3
Disposal
C4
Recycling Potential
D
Abiotic depletion potential - fossil resources (ADPF)
  • 2939
  • 57.14
  • 0.6696
  • 106.9
  • 0
  • 0
  • 0
  • 3.489
  • 16.67
  • 0.6215
  • -54.78
Abiotic depletion potential - non-fossil resources (ADPE)
  • 0.005924
  • 0.0003556
  • 9.305E-7
  • 0.00004386
  • 0
  • 0
  • 0
  • 0.00002004
  • 0.000007676
  • 3.972E-7
  • -0.00004167
Acidification potential, Accumulated Exceedance (AP)
  • 0.9345
  • 0.01902
  • 0.000206
  • 0.03053
  • 0
  • 0
  • 0
  • 0.001156
  • 0.03416
  • 0.0002324
  • -0.03159
Global Warming Potential - biogenic (GWP-biogenic)
  • -43.68
  • 0.004735
  • 1.103
  • 0.03657
  • 0
  • 0
  • 0
  • 0.0002793
  • 51.3
  • 0.00007709
  • -0.0077
Global Warming Potential - fossil fuels (GWP-fossil)
  • 165.5
  • 2.726
  • 0.1372
  • 5.229
  • 0
  • 0
  • 0
  • 0.1648
  • 35.46
  • 0.06155
  • -3.959
Global Warming Potential - total (GWP-total)
  • 122.1
  • 2.735
  • 1.241
  • 5.277
  • 0
  • 0
  • 0
  • 0.1653
  • 86.76
  • 0.06164
  • -4.093
Global Warming Potential - land use and land use change (GWP-luluc)
  • 0.2015
  • 0.004458
  • 0.0000132
  • 0.01198
  • 0
  • 0
  • 0
  • 0.000257
  • 0.0002633
  • 0.0000101
  • -0.1257
  • 170.1
  • 2.735
  • 0.1373
  • 5.642
  • 0
  • 0
  • 0
  • 0.1653
  • 46.65
  • 0.08618
  • -4.194
Eutrophication potential - freshwater (EP-freshwater)
  • 0.008554
  • 0.000103
  • 3.471E-7
  • 0.0005512
  • 0
  • 0
  • 0
  • 0.000006052
  • 0.00001646
  • 8.158E-7
  • -0.0003433
Eutrophication potential - marine (EP-marine)
  • 0.1908
  • 0.004941
  • 0.0001594
  • 0.003924
  • 0
  • 0
  • 0
  • 0.0003058
  • 0.01879
  • 0.00007399
  • -0.01014
Eutrophication potential - terrestrial (EP-terrestrial)
  • 1.943
  • 0.05531
  • 0.0007382
  • 0.04821
  • 0
  • 0
  • 0
  • 0.00342
  • 0.1817
  • 0.0008389
  • -0.1095
Photochemical Ozone Creation Potential (POCP)
  • 0.6417
  • 0.02022
  • 0.0002354
  • 0.0124
  • 0
  • 0
  • 0
  • 0.001252
  • 0.04323
  • 0.0002329
  • -0.03086
Depletion potential of the stratospheric ozone layer (ODP)
  • 0.00001064
  • 5.35E-7
  • 9.83E-9
  • 4.439E-7
  • 0
  • 0
  • 0
  • 3.4E-8
  • 2.042E-7
  • 7.512E-9
  • -0.2656
Water (user) deprivation potential (WDP)
  • 8645
  • 179.7
  • 2.034
  • 1621
  • 0
  • 0
  • 0
  • 10.33
  • 41.6
  • 5.583
  • -632.9

IndicatorUnit Production
A1-A3
Transport
A4
Installation
A5
Maintenance
B2
Repair
B3
Replacement
B4
De-construction
C1
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 Human exposure efficiency relative to U235 (IRP) 1
  • 6.512
  • 0.1869
  • 0.002991
  • 0.9283
  • 0
  • 0
  • 0
  • 0.01139
  • 0.02655
  • 0.002873
  • -0.3319
Potential incidence of disease due to PM emissions (PM) 2
  • 0.00001783
  • 6E-7
  • 3.545E-9
  • 8.905E-8
  • 0
  • 0
  • 0
  • 3.825E-8
  • 1.43E-7
  • 3.072E-9
  • -0.000001846
Potential Soil quality index (SQP) 2
  • 6079
  • 101.3
  • 1.011
  • 26
  • 0
  • 0
  • 0
  • 6.503
  • 1.908
  • 1.743
  • -348.8
Potential Comparative Toxic Unit for humans - non-cancer effects (HTP-nc) 2
  • 0.000002315
  • 1.45E-7
  • 7.16E-10
  • 8.55E-8
  • 0
  • 0
  • 0
  • 8.5E-9
  • 1.48E-7
  • 1.828E-9
  • -2.39E-7
Potential Comparative Toxic Unit for humans - cancer effects (HTP-c) 2
  • 2.185E-7
  • 0
  • 1.9E-11
  • 2.74E-9
  • 0
  • 0
  • 0
  • 0
  • 3.336E-9
  • 5E-11
  • -6.699E-9
Potential Comparative Toxic Unit for ecosystems (ETP-fw) 2
  • 5449
  • 85.08
  • 0.6949
  • 76.67
  • 0
  • 0
  • 0
  • 5.092
  • 95.62
  • 1.018
  • -301.1