Carbon Footprint Drivers in China’s Municipal Wastewater Treatment Plants and Mitigation Opportunities through Electricity and Chemical Efficiency

温室气体 碳足迹 环境科学 环境工程 能源消耗 废物管理 高效能源利用 污水处理 流出物 碳纤维 减缓气候变化 工程类 计算机科学 复合数 电气工程 生物 生态学 算法
作者
Shen Qu,Y. Hu,Renke Wei,Ke Yu,Zhouyi Liu,Qi Zhou,Chenchen Wang,Lujing Zhang
出处
期刊:Engineering [Elsevier BV]
卷期号:50: 106-116 被引量:29
标识
DOI:10.1016/j.eng.2024.01.021
摘要

Reducing greenhouse gas (GHG) emissions to address climate change is a global consensus, and municipal wastewater treatment plants (MWWTPs) should lead the way in low-carbon sustainable development. However, achieving effluent discharge standards often requires considerable energy and chemical consumption during operation, resulting in significant carbon footprints. In this study, GHG emissions are systematically accounted for, and the driving factors of carbon footprint growth in China’s MWWTPs are explored. In 2020, a total of 41.9 million tons (Mt) of carbon dioxide equivalent (CO2-eq) were released by the sector, with nearly two-thirds being indirect emissions resulting from energy and material usage. The intensity of electricity, carbon source, and phosphorus removing agent consumption increasingly influence carbon footprint growth over time. Through statistical inference, benchmarks for electricity and chemical consumption intensity are established across all MWWTPs under various operational conditions, and the potential for mitigation through more efficient energy and material utilization is calculated. The results suggest that many MWWTPs offer significant opportunities for emission reduction. Consequently, empirical decarbonization measures, including intelligent device control, optimization of aeration equipment, energy recovery initiatives, and other enhancements to improve operational and carbon efficiency, are recommended.
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