Scouring and heat setting, synthetic fibers
4.8
Description
Scouring and Heat setting processes for synthetic fiber-based textiles in a wet bath. Assumes that multiple processes (scouring, bleaching, heat setting, etc) would be applied in a single bath. Includes estimations of chemical auxiliaries, water, and energy use. Liquor ratio of 7.5:1 15% loss of water used, remaining water is treated and returned to system.
Impacts
| Impact area | MSI Score | |
|---|---|---|
| Global Warming | 2.1 | |
| Eutrophication | 0.7 | |
| Water Scarcity | 9.7e-2 | |
| Abiotic Resource Depletion, Fossil Fuels | 1.9 | |
| Chemistry |
Scored per material rather than production stage. Click on "Return to Material", and learn about Chemistry scoring under "Chemistry Certifications".
|
Modeling Notes
Meta information
- Primary Source: van der Velden, Natascha M., Martin K. Patel, and Joost G. VogtlÃĪnder (2014). "LCA benchmarking study on textiles made of cotton, polyester, nylon, acryl, or elastane." The International Journal of Life Cycle Assessment 19.2: 331-356.
- Last Publication or Review date: 2014
- Geography: Global/generic
- Data Generator: Cashion East, Pivot Analytics; east@pointpivot.com
Applicable Materials
| Material |
Impact
benchmarkimpactblend components
|
|---|---|
|
|
52
Textiles
|
|
|
60
Textiles
|
|
|
44
Textiles
|
|
|
54
Textiles
|
|
|
37
Textiles
|
|
|
50
Textiles
|
|
|
42
Textiles
|
Data quality
| Data Quality | Value | Description | |
|---|---|---|---|
| Precision | Fair | 20% to 30% | 3 |
| Time Representativeness | Excellent | Data are not older than 4 years with respect to the release date or latest review date | 1 |
| Geographical Representativeness | Fair | The processes included in the dataset are sufficiently representative for the geography stated in the title and metadata | 3 |
| Technological Representativeness | Fair | The technologies modeled are representative of the average technology used for similar processes | 3 |
| Average | 2.5 | ||