Textile Manufacturing Carbon Emission Analysis Method Based on Holographic Process Model

Abstract

The textile industry, while creating material wealth, also exerts a significant impact on the environment.Particularly in the textile manufacturing phase, which is the most energy-intensive phase throughout the product lifecycle, the problem of high energy usage is increasingly notable.Nevertheless, current analyses of carbon emissions in textile manufacturing emphasize the dynamic temporal characteristics while failing to adequately consider critical information such as material flows and energy consumption.A carbon emission analysis method based on a holographic process model (HPM) is proposed to address these issues.First, the system boundary in the textile manufacturing is defined, and the characteristics of carbon emissions are analyzed.Next, an HPM based on the object-centric Petri net (OCPN) is constructed, and simulation experiments are conducted on three different scenarios in the textile manufacturing.Subsequently, the constructed HPM is utilized to achieve a multi-perspective analysis of carbon emissions.Finally, the feasibility of the method is verified by using the production data of pure cotton products from a certain textile manufacturing enterprise.The results indicate that this method can analyze the impact of various factors on the carbon emissions of pure cotton product production, and by applying targeted optimization strategies, carbon emissions have been reduced by nearly 20%.This contributes to propelling the textile manufacturing industry towards sustainable development.

Keywords

textile manufacturing / carbon emission analysis / holographic process model / sustainable development

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Funding

National Key R&D Program of China(2019YFB1706300)