废水
高效能源利用
污水处理
效率低下
环境科学
能量(信号处理)
环境工程
树(集合论)
环境经济学
工程类
数学
统计
经济
电气工程
数学分析
微观经济学
作者
Alexandros Maziotis,Ramón Sala-Garrido,Manuel Mocholí-Arce,María Molinos-Senante
标识
DOI:10.1016/j.scitotenv.2023.163539
摘要
Wastewater treatment plants (WWTPs) are energy intensive facilities. Controlling energy use in WWTPs could bring substantial benefits to people and environment. Understanding how energy efficient the wastewater treatment process is and what drives efficiency would allow treating wastewater in a more sustainable way. In this study, we employed the efficiency analysis trees approach, that combines machine learning and linear programming techniques, to estimate energy efficiency of wastewater treatment process. The findings indicated that considerable energy inefficiency among WWTPs in Chile existed. The mean energy efficiency was 0.287 suggesting that energy use should cut reduce by 71.3 % to treat the same volume of wastewater. This was equivalent to a reduction in energy use by 0.40 kWh/m3 on average. Moreover, only 4 out of 203 assessed WWTPs (1.97 %) were identified as energy efficient. It was also found that the age of treatment plant and type of secondary technology played an important role in explaining energy efficiency variations among WWTPs.
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