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The International Journal of Life Cycle Assessment

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11-05-2024 | CARBON FOOTPRINTING

Unveil the carbon footprint of textiles dyed with different reactive dyestuff recipes from an industrial manufacturing perspective

Authors: Di Zhu, Yunfei Bao, Xuemei Ding, Xiongying Wu

Published in: The International Journal of Life Cycle Assessment | Issue 9/2024

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Abstract

Purpose

The textile industry is inclined towards an unsustainable trajectory because of a variety of environmental issues stemming from the intensive use of water and energy during wet processing. As climate change has been regarded as the biggest health threat facing humanity and textiles’ color derived from dyestuff is closely associated with wet processing, this study focuses on evaluating the carbon footprint (CF) of textiles dyed with different dyestuff recipes and identifying the quantitative correlation between the CF and the mass of dyestuff inputted, to seek opportunities for improvement from the manufacturers’ perspective.

Methods

The industrial CF of 25 cotton-dyed knitted fabrics with different reactive dyestuff recipes was assessed referring to PAS 2395 and the methodology of life cycle assessment, where the investigated phases include knitting, wet processing, packing, and sewage treatment. The primary data of assessed fabrics were collected by on-site investigation in a knitting manufacturing company in China. The functional unit is knitting, dyeing, and finishing 1 t of cotton. The mass of dyestuff in a dyeing bath for 1 kg fabric (MDB) was utilized to characterize different colors of textiles. A quantitative correlation between the CF of wet processing and MDB was established through second-order polynomial regression.

Results and discussion

Within the given system boundary, 1 t of cotton-dyed knitted fabric emitted an average of 7505.12 kg CO₂ eq, and energy accounts for the largest proportion. When white fabric without any dyestuff was included and excluded from the sample range, the maximum differences in CF between fabrics were 4437.90 kg CO₂ eq and 3546.55 kg CO₂ eq, respectively. Furthermore, with the consecutive increment of MDB within a certain range (0 ~ 5.41%), the CF of pre-processing shows a gentle downward trend while the CF of dyeing exhibits a trend of initially rising and subsequently declining within a certain range (0 ~ 1.37%) and then presents an upward trend. Interestingly, the CF of wet processing is affected by the alternation of its two major processes. The above results may reduce the absoluteness of the argument that “textiles with darker colors are less environmentally friendly.”

Conclusions

Special attention should be paid to the contribution of textiles’ color to their CFs, owing to the substantial variations that exist in the CF of wet processing among knitted fabrics of different colors. The contribution of wet processing to global warming is impacted by multiple factors, including steam consumption, chemical usage, liquor ratio, and process time. This study may offer ideas for interdisciplinary research and point out the future direction for the textile wet processing industry to improve environmental performance.

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Amin MR, Mahmud A, Anannya FR (2021) Assessment of carbon footprint of various cotton knitwear production processes in Bangladesh. AATCC J Res 8(6):47–57. https://doi.org/10.14504/ajr.8.6.6CrossRef

Amjad AI, Kumar R (2022) Sustainable production and performance analysis of cotton melange fabrics. J Nat Fibers 19(15):11831–11844. https://doi.org/10.1080/15440478.2022.2044963CrossRef

APPARELIMPACTINSTITUTE and CTEAM (2020) Practice-based technical guide for low-cost responses to climate change in the textile industry. http://cteam.org/pdf/jiyushijiandefangzhihangyedichengbenyingduiqihoubianhuajishuzhinan.pdf

Astudillo MF, Thalwitz G, Vollrath F (2014) Life cycle assessment of Indian silk. J Cleaner Prod 81:158–167. https://doi.org/10.1016/j.jclepro.2014.06.007CrossRef

Braschel N, Posch A (2013) A review of system boundaries of GHG emission inventories in waste management. J Cleaner Prod 44:30–38. https://doi.org/10.1016/j.jclepro.2012.10.050CrossRef

BSI (2014) PAS 2395:2014 Specification for the Assessment of Greenhouse Gas (GHG) Emissions from the Whole Life Cycle of Textile Products. British Standards Institution

BTBU (2020) Enzyme product carbon footprint life cycle assessment report. https://www.yiduoli.com/upload/news/2020-04-24/1587689281122025967.pdf

Bulut MO (2016) Low temperature bleaching for reactive dyeing and top white knitted cotton fabric. J Cleaner Prod 137:461–474CrossRef

Cai B, Gao Q, Li Z et al (2015) Study on the methane emission factors of wastewater treatment plants in China. China Pop Res Env 25(04):118–124

Chen Y, Bi Y, Wu X et al (2024) Impact of additional carbon storage of natural plant fiber on product carbon footprint: a case study of cotton/kapok blended T-shirt VS pure cotton T-shirt. J Cleaner Prod 434:140237. https://doi.org/10.1016/j.jclepro.2023.140237

CPCD (2021) China Products Carbon Footprint Factors Database. https://lca.cityghg.com/

de Oliveira CRS, da Silva Júnior AH, Mulinari J et al (2021) Textile re-engineering: eco-responsible solutions for a more sustainable industry. Sustain Prod Consump 28:1232–1248. https://doi.org/10.1016/j.spc.2021.08.001CrossRef

de Oliveira GC, Tucci HNP, Correia JMF et al (2021) Stakeholders’ influences on the adoption of cleaner production practices: a survey of the textile industry. Sustain Prod Consump 26:126–145. https://doi.org/10.1016/j.spc.2020.10.001CrossRef

Fashion and the circular economy - deep dive (2017) Ellen macarthur foundation. https://archive.ellenmacarthurfoundation.org/explore/fashion-and-the-circular-economy

Fan X (2017) Textile Dyeing and Finishing Technology (3rd Edition). China Textile Press

Fashion United (2020) Global fashion industry statistics. https://fashionunited.com/global-fashion-industry-statistics

Feng W (2015) Study and validation on the allocation problem in the calculation of industrial carbon and water footprint of textile and apparel products [Donghua University]. Shanghai

IPCC (2006) 2006 IPCC Guidelines for National Greenhouse Gas Inventories. https://www.ipcc-nggip.iges.or.jp/public/2006gl/

ISO (2006) Environmental management-life cycle assessment-general principles and framework. ISO14040

Kant R (2012) Textile dyeing industry an environmental hazard. Nat Sci 4(1): 5, Article 17027. https://doi.org/10.4236/ns.2012.41004

Khattab TA, Abdelrahman MS, Rehan M (2020) Textile dyeing industry: environmental impacts and remediation. Environ Sci Pollut Res 27:3803–3818CrossRef

Li X, Ren J, Wu Z et al (2021) Development of a novel process-level water footprint assessment for textile production based on modularity. J Cleaner Prod 291:125884CrossRef

Li X, Chen L, Ding X (2019) Allocation methodology of process-level carbon footprint calculation in textile and apparel products. Sustainability-basel 11(16):4471. https://doi.org/10.3390/su11164471

Li ZH, Zhang WB, Xia B et al (2022) Comparison of life cycle environmental impact between two processes for silver separation from copper anode slime. Int J Environ Res Public Health 19(13):7790. https://doi.org/10.3390/ijerph19137790

Li X (2014) Study on Several Crucial Issues about Industrial Carbon Footprint of Textile and Apparel Products [Donghua University]. Shanghai

Liu WS, Wu XY, Ding XM (2015) Industrial carbon footprint caculation of woollen yarn. Wool Text J 43(2):57–61

Liu Y, Zhu LB, Zhang C et al (2020) Life cycle assessment of melange yarns from the manufacturer perspective. Int J Life Cycle Assess 25(3):588–599. https://doi.org/10.1007/s11367-019-01705-8CrossRef

Luo Y, Zhou RX, Li XM et al (2022b) Carbon footprint calculation and assessment of jeans products based on process modularity. Adv Tex Tec 30(6):204–210

Luo Y, Wu X, Ding X (2022a) Carbon and water footprints assessment of cotton jeans using the method based on modularity: a full life cycle perspective. J Cleaner Prod 332(130042)

Nolan C, Overpeck JT, Allen JRM et al (2018) Past and future global transformation of terrestrial ecosystems under climate change. Sci 361(6405):920–923. https://doi.org/10.1126/science.aan5360CrossRef

Pecl GT, Araújo MB, Bell JD et al (2017) Biodiversity redistribution under climate change: impacts on ecosystems and human well-being. Sci 355(6332):eaai9214. https://doi.org/10.1126/science.aai9214

Rathin C, Farid A (2022) Economical use of water in cotton knit dyeing industries of Bangladesh. J Cleaner Prod 340:1–13. https://doi.org/10.1016/j.jclepro.2022.130825

Roos S, Jönsson C, Posner S et al (2018) An inventory framework for inclusion of textile chemicals in life cycle assessment. Int J Life Cycle Assess 24(5):838–847. https://doi.org/10.1007/s11367-018-1537-6CrossRef

SAC (2018a) GB 36889–2018: The norm of energy consumption per unit product of PET and PET fiber. Standardization Administration of China

SAC (2018b) Requirements of the greenhouse gas emissions accounting and reporting Part 12 :Textile and garment enterprise. Standardization Administration of China

Saxce MD, Pesnel S, Perwuelz A (2012) LCA of bed sheets e some relevant parameters for lifetime assessment. J Cleaner Prod 37:221–228CrossRef

Terinte N, Manda BMK, Taylor J et al (2014) Environmental assessment of coloured fabrics and opportunities for value creation: spin-dyeing versus conventional dyeing of modal fabrics. J Cleaner Prod 2:127–138. https://doi.org/10.1016/j.jclepro.2014.02.002CrossRef

UNDP (2023) What are the Sustainable Development Goals? https://www.undp.org/sustainable-development-goals/climate-action?gclid=CjwKCAiA0syqBhBxEiwAeNx9N7MvYf-Hpx1ND8LvXBS3iuCCoodeM61yjV01b_9YpCL2e9TLyN8_aBoCficQAvD_BwE

UNFCCC (2018) UN helps fashion industry shift to low carbon. United Nations Framework Convention on Climate Change. https://unfccc.int/news/un-helps-fashion-industry-shift-to-low-carbon

Velden NMVd, Patel MK, Vogtländer JG (2014) LCA benchmarking study on textiles made of cotton, polyester, nylon, acryl, or elastane. Int J Life Cycle Assess 19(2):331–356. https://doi.org/10.1007/s11367-013-0626-9CrossRef

Wang L, Wu X, Ding X et al (2012) Case study on industrial carbon footprint and industrial water footprint of cotton knits. Dye Fin 38(7):43–46

Wang CX, Wang LH, Liu XL et al (2015) Carbon footprint of textile throughout its life cycle: a case study of Chinese cotton shirts. J Cleaner Prod 108:464–475CrossRef

Wang L, Xu Y, Lee H et al (2022) Preferred product attributes for sustainable outdoor apparel: a conjoint analysis approach. Sustain Prod Consump 29:657–671. https://doi.org/10.1016/j.spc.2021.11.011CrossRef

Wang L (2013) Research and demonstration of carbon footprint and waterfootprint of textiles and clothing [Donghua University]

WHO (2021) Climate change and health. https://www.who.int/news-room/fact-sheets/detail/climate-change-and-health

WRAP (2017) Valuing Our Clothes: the Cost of UK Fashion. https://wrap.org.uk/sites/default/files/2020-10/WRAP-valuing-our-clothes-the-cost-of-uk-fashion_WRAP.pdf

WRI/WBCSD (2004) The greenhouse gas protocol: a corporate accounting and reporting standard revised edition. World Business Council for Sustainable Development and World Resources Institute, Geneva

WRI/WBCSD (2005) The greenhouse gas protocol: Project accounting, World Business Council for Sustainable Development and World Resources Institute, Geneva

WRI/WBCSD (2006) The greenhouse gas protocol: designing a customized greenhouse gas calculation tool, World Business Council for Sustainable Development and World Resources Institute, Geneva

Xia X (2014) Low liquor ratio dyeing process of cotton knit fabric with reactive dyes [Donghua Univeristy]. Shanghai

Xin W, Yang X, Wang Z (2022) Example of carbon accounting for watertreatment and application study of different N2O emission factors. Adv Anal Chem 12(2):60–67. https://doi.org/10.12677/aac.2022.122009CrossRef

Xu WX (2021) Xinjiang pink cotton T-shirts have a very low carbon footprint. China Environment News. http://epaper.cenews.com.cn/html/1/2021-06/08/07B/2021060807B_pdf.pdf

Ye L, Qi C, Hong J et al (2017) Life cycle assessment of polyvinyl chloride production and its recyclability in China. J Cleaner Prod 142:2965–2972. https://doi.org/10.1016/j.jclepro.2016.10.171CrossRef

Yu J, Zhao R, Xiao L et al (2020) Carbon emissions of urban wastewater treatment system based on the “water-energy-carbon” nexus. Res Sci 42(6):1052–1062. https://doi.org/10.18402/resci.2020.06.04CrossRef

Zhang Y, Liu X, Xiao R et al (2015) Life cycle assessment of cotton T-shirts in China. Int J Life Cycle Assess 20(7):994–1004. https://doi.org/10.1007/s11367-015-0889-4CrossRef

Title: Unveil the carbon footprint of textiles dyed with different reactive dyestuff recipes from an industrial manufacturing perspective
Authors: Di Zhu
Yunfei Bao
Xuemei Ding
Xiongying Wu
Publication date: 11-05-2024
Publisher: Springer Berlin Heidelberg
Published in: The International Journal of Life Cycle Assessment / Issue 9/2024
Print ISSN: 0948-3349
Electronic ISSN: 1614-7502
DOI: https://doi.org/10.1007/s11367-024-02323-9

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