Life cycle assessment of high concentration organic wastewater treatment by catalytic wet air oxidation

被引:1
|
作者
Yuxi Chai [1 ]
Yanan Zhang [2 ]
Yannan Tan [2 ]
Zhiwei Li [3 ]
Huangzhao Wei [2 ]
Chenglin Sun [2 ]
Haibo Jin [1 ]
Zhao Mu [4 ]
Lei Ma [1 ]
机构
[1] Beijing Key Laboratory of Fuels Cleaning and Advanced Catalytic Emission Reduction Technology/College of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology
[2] Dalian Institute of Chemical Physics, Chinese Academy of Sciences
[3] School of Chemistry and Chemical Engineering, Hefei University of Technology
[4] Institute of Applied Chemical Technology for Oilfield/College of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
TQ426 [催化剂(触媒)]; X703 [废水的处理与利用];
学科分类号
080502 ; 081705 ;
摘要
There have been many studies on life cycle assessment in sewage treatment, but there are scarce few studies on the treatment of industrial wastewater in combination with advanced oxidation technology,especially in catalytic wet air oxidation(CWAO). There are no cases of using actual industrialized data onto life cycle assessment. This paper uses Simapro 9.0 software to establish a life cycle assessment model for the treatment of high-concentration organic wastewater by CWAO, and comprehensively explains the impact on the environment from three aspects: the construction phase, the operation phase and the demolition phase. In addition, sensitivity analysis and uncertainty analysis were performed. The results showed that the key factors affecting the environment were marine ecotoxicity, mineral resource consumption and global warming, the operation stage had the greatest impact on the environment,which was related to high power consumption during operation and emissions from the treatment process. Sensitivity analysis showed that electricity consumption has the greatest impact on abiotic depletion and freshwater aquatic ecotoxicity, and it also proved that global warming is mainly caused by pollutant emissions during operation phase. Monte Carlo simulations found slightly higher uncertainty for abiotic depletion and toxicity-related impact categories.
引用
收藏
页码:80 / 88
页数:9
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