Low Carbon and Clean Design for Garment Industry Based on Environmental Footprint Accounting

被引:0
|
作者
Chen Yiding [1 ]
机构
[1] Canadian Int Sch Hong Kong, Hong Kong 999077, Peoples R China
来源
PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON ENERGY ENGINEERING AND ENVIRONMENTAL ENGINEERING, ICEEEE 2023 | 2024年
关键词
Garment industry; Low carbon design; Carbon footprint;
D O I
10.1007/978-3-031-48204-5_9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Due to its long industrial chain and wide variety of commodities, the garment industry with high carbon emissions and high pollution cannot effectively achieve low-carbon and clean production by upgrading a specific technology. Considering that the impact of the garment industry on the environment is mainly carbon emission, wastewater pollution and chemical pollution, this paper analyzes and lists three kinds of environmental footprints that should be considered most by the garment industry from the perspective of environmental footprint, namely, carbon footprint, water footprint and chemical footprint, and gives the calculation models of the three kinds of footprints. Finally, this paper takes carbon footprint as an example to analyze the carbon footprint of Xiangyun yarn fabric, linen fabric and worsted wool fabric, and gives some suggestions on the low-carbon upgrading of the garment industry. The results show that the worsted fabric has the highest carbon footprint, 24.809 kgCO(2)e/kg, and its spinning process and post-treatment process are the two processes with the largest carbon footprint, accounting for 70.6% of the total carbon emissions. This means that for the worsted wool fabric, the improvements of spinning and post-treatment related processes can greatly reduce the level of carbon emissions in the production process and contribute to the low-carbon upgrading of the garment industry.
引用
收藏
页码:89 / 97
页数:9
相关论文
共 50 条
  • [21] Incorporating the carbon footprint to measure industry context and energy consumption effect on environmental performance of business operations
    Dong-Shang Chang
    Li-Ting Yeh
    Wenrong Liu
    Clean Technologies and Environmental Policy, 2015, 17 : 359 - 371
  • [22] Sustainable lifestyle: Urban household carbon footprint accounting and policy implications for lifestyle-based decarbonization
    Huang, Liqiao
    Long, Yin
    Chen, Jundong
    Yoshida, Yoshikuni
    ENERGY POLICY, 2023, 181
  • [23] Research on Carbon Footprint Accounting in the Materialization Stage of Prefabricated Housing Based on DEMATEL-ISM-MICMAC
    Liu, Wei
    Huang, Qingcheng
    APPLIED SCIENCES-BASEL, 2023, 13 (24):
  • [24] Machine-Learning-Based Carbon Footprint Management in the Frozen Vegetable Processing Industry
    Scherer, Magdalena
    Milczarski, Piotr
    ENERGIES, 2021, 14 (22)
  • [25] LCA-based cost-benefit assessment and carbon footprint accounting of CCUS technologies in China
    Dong, Changgen
    Jiang, Jingjing
    Ye, Bin
    Xia, Changyou
    Zhang, Yanan
    JOURNAL OF CLEANER PRODUCTION, 2025, 486
  • [26] Carbon footprint accounting method based on dynamic allocation of multi-level carbon data from manufacturing organizations to products
    Xiang, Dong
    Xu, Feng
    Sah, Ravindra Kumar
    Wei, Chang
    Fang, Ke
    JOURNAL OF CLEANER PRODUCTION, 2024, 467
  • [27] Comparative assessment for biogenic carbon accounting methods in carbon footprint of products: a review study for construction materials based on forest products
    Tellnes, Lars G. F.
    Ganne-Chedeville, Christelle
    Dias, Ana
    Dolezal, Franz
    Hill, Callum
    Escamilla, Edwin Zea
    IFOREST-BIOGEOSCIENCES AND FORESTRY, 2017, 10 : 815 - 823
  • [28] Evaluation and Empirical Research on Eco-Efficiency of Financial Industry Based on Carbon Footprint in China
    Chen, Xiaolan
    Wang, Kaikai
    Wan, Guanjiang
    Liu, Yufei
    Liu, Wenbin
    Shen, Wanfang
    Shi, Jianing
    SUSTAINABILITY, 2022, 14 (20)
  • [29] The Role of sustainable Design with Local Environmental Materials to Reduce the Carbon Footprint of Urban Areas in Siwa Oasis
    Elnaby, Farag Mohamed Zaki Abd
    Ali, Mahmoud Attiya Mohamed
    METALLURGICAL & MATERIALS ENGINEERING, 2025, 31 (01) : 66 - 81
  • [30] Carbon Footprint Assessment and Efficiency Measurement of Wood Processing Industry Based on Life Cycle Assessment
    Zhang, Mengwan
    Ma, Ning
    Yang, Youneng
    SUSTAINABILITY, 2023, 15 (08)