关键词:

装修垃圾')">"> 装修垃圾, 资源化利用, 碳足迹, 过程生命周期评价, 敏感性分析

Abstract:

As an important component for achieving the “Dual Carbon” goals and establishing “Zero-Waste Cities”, the resource utilization of decoration waste has emerged as a critical pathway for urban sustainable development. This study focuses on a representative decoration waste recycling enterprise in Zhejiang Province, developing a precise carbon footprint accounting model for decoration waste resource utilization using the Process-based Life Cycle Assessment (PLCA) methodology. The accounting model systematically quantified carbon emissions at each stage of resource utilization, and identified key influencing factors through sensitivity analysis. Results revealed that the decoration waste resource utilization process can be divided into six distinct stages: transportation, production, recycling, resource recovery, incineration, and landfilling. The treatment of one metric ton of decoration waste yields a net carbon reduction of 242.58 kg CO₂ eq, demonstrating significant carbon reduction benefits. The production stage is the primary source of carbon emissions (57.62 kg CO₂ eq), while the recycling and incineration stages are key contributors to carbon reduction (?178.42 kg CO₂ eq and ?96.09 kg CO₂ eq, respectively). The calorific value of combustibles, carbon emission factors of recycled products substituting construction materials, and the contents of concrete, bricks and combustibles were identified as key parameters influencing the carbon footprint of decoration waste resource utilization. To enhance carbon reduction efficiency, this study suggests implementing source separation controls, improving sorting precision, and developing high-value recycled products. These findings provide a scalable carbon footprint accounting methodology for similar enterprises and insights for operational strategies, offering valuable technical support for low-carbon development initiatives.

Key words:

 ')">">  , Decoration , waste, Resource utilization, Carbon footprint, Process-based Life Cycle Assessment, Sensitivity analysis