Quantifying the energy-material-pollution nexus in a typical fine chemical industry: A sustainable development-oriented support for collaborative emission reduction

被引：0

作者：

Yang K. ^{[1
]}

Jing D. ^{[1
]}

Kong W. ^{[1
]}

Shi Z. ^{[1
]}

Jing G. ^{[3
]}

Li W. ^{[1
]}

Li S. ^{[1
]}

Wang Q. ^{[2
]}

机构：

[1] Key Laboratory of Biomass Chemical Engineering of the Ministry of Education, Institute of Industrial Ecology and Environment, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou

[2] Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou

[3] Department of Environmental Science & Engineering, College of Chemical Engineering, Huaqiao University, Xiamen

来源：

Science of the Total Environment | 2023年 / 905卷

关键词：

Carbon footprint; Optimized priority; Precise system management; Solvent; Synergistic effect;

D O I：

10.1016/j.scitotenv.2023.166826

中图分类号：

学科分类号：

摘要：

The fine chemical industry is currently facing challenges in energy saving, material conservation, and pollution reduction due to the dual policy pressure of precise system management and collaborative pollution and carbon reduction. However, the interweaving of materials and energy input-output was not well understood due to the incomplete coverage and the lack of a generic framework. Therefore, a methodology based on the energy-material-pollution (E-M-P) coupling nexus was proposed to quantitatively assess multi-level coupling. According to the selected generic 32 coupling units, two representative glyphosate (PMG) production processes were taken as case studies. Quantification results showed that the solvent element and the material system had a higher priority. Moreover, Process 2 owned a greater optimization potential as the coupling relationship pairs were 2.55 compared to 2.32 for Process 1, and the correlation proportions of material systems reached 69.26 % and 56.92 %, respectively. In addition, assessment results indicated that Process 2 was more environmentally friendly because of the lower ecological indexes (9.7 GPt vs. 15.8 GPt) and weaker carbon footprint (CF) (1.16E+08 vs. 2.32E+08). Combined coupling nexus and environmental assessment organically, methanol had the most optimization potential and was beneficial for the measures such as solvent substitution. This work offered theory and practice guidance with demonstrative value to support the sustainable development of precise system management. © 2023 Elsevier B.V.

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