Carbon footprint impact of waste sorting on the municipal household waste treatment system: A community case study of Hangzhou

Jun Yin , Min Wang , Xiaoqin Yu , Meizhen Wang , Yanfeng Zhang , Ting Chen , Jianguo Liu
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Abstract

Considering the pressing need to reduce carbon emissions, the environmental impacts of waste sorting and its influencing factors remain unverified across many practical scenarios. This study focused on separating perishable and residual waste in a community in Hangzhou, China, examining how waste sorting behavior affects the carbon footprint of subsequent waste treatment systems through a randomized tracking survey and life cycle assessment (LCA) method. The results indicated that the sorted waste treatment system could achieve net carbon emissions ranging from −139.92 to −254.03 kg CO2 eq per day by integrating the anaerobic digestion of sorted perishable waste with the incineration of residual waste. In comparison to the conventional mixed incineration system, which had net carbon emissions between −56.37 and −115.46 kg CO2 eq per day and generated 383 kWh/t of power, the carbon reduction benefits of the sorted system were considerably greater, by a factor of 2.2–2.5. Additionally, the average amount of recovered electrical energy (993 kWh/t) was also higher by a factor of 2.6. Therefore, source separation of waste significantly enhances energy recovery and carbon reduction in household waste treatment systems. In this research system, incineration power generation and oil recovery serve as the primary units for reducing carbon emissions, and the proportion of residual waste generated greatly influences the total carbon emissions of the sorted waste treatment system (p < 0.05). Consequently, increasing the percentage of classified residual waste and optimizing machine efficiency will increase the carbon reduction benefits of waste sorting and treatment systems. These findings provide crucial references and guidance for advancing carbon reduction and waste classification in municipal solid waste (MSW) management systems.

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垃圾分类对城市生活垃圾处理系统的碳足迹影响:杭州社区案例研究
考虑到减少碳排放的迫切需要,垃圾分类的环境影响及其影响因素在许多实际场景中仍未得到验证。本研究以中国杭州某社区的易腐垃圾和残余垃圾分类为重点,通过随机跟踪调查和生命周期评估(LCA)方法,研究垃圾分类行为如何影响后续垃圾处理系统的碳足迹。结果表明,通过将分类易腐垃圾的厌氧消化与残余垃圾的焚烧相结合,垃圾分类处理系统每天可实现-139.92 至-254.03 千克二氧化碳当量的净碳排放量。传统的混合焚烧系统每天的净碳排放量为-56.37 至-115.46 千克二氧化碳当量,发电量为 383 千瓦时/吨,相比之下,分类系统的减碳效益要高得多,达到 2.2-2.5 倍。此外,平均回收电能(993 千瓦时/吨)也高出 2.6 倍。因此,在生活垃圾处理系统中,垃圾源头分类可大大提高能源回收和碳减排效果。在该研究系统中,焚烧发电和油回收是减少碳排放的主要单元,而残余垃圾的产生比例在很大程度上影响着分类垃圾处理系统的总碳排放量(p <0.05)。因此,提高残余垃圾的分类比例和优化机器效率将增加垃圾分类处理系统的碳减排效益。这些研究结果为推进城市固体废物(MSW)管理系统中的碳减排和废物分类提供了重要的参考和指导。
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