Coupling life cycle assessment with scenario analysis for sustainable management of Disperse blue 60
Autor: | Bihong Lv, Kexuan Yang, Huazhen Shen, Guohua Jing, Zuoming Zhou |
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Rok vydání: | 2020 |
Předmět: |
business.industry
Health Toxicology and Mutagenesis Environmental engineering General Medicine Environment Natural Gas 010501 environmental sciences 01 natural sciences Pollution Environmentally friendly Coal Electricity generation Electricity Sustainable management Environmental Chemistry Environmental science Cleaner production Scenario analysis business Life-cycle assessment Solar power 0105 earth and related environmental sciences |
Zdroj: | Environmental Science and Pollution Research. 27:25197-25208 |
ISSN: | 1614-7499 0944-1344 |
DOI: | 10.1007/s11356-020-08958-z |
Popis: | Sustainable management of dyeing industry is of paramount importance in order to minimize resource consumption and reduce related environmental impacts. Herein, an environmental study is conducted wherein life cycle assessment (LCA) is applied to a two-scenario process for Disperse blue 60 production with short and long processing chains with different (a) material types, (b) consumptions, (c) processes, and (d) functional units with yields of 300 t/a. The most important influenced substances of the two scenarios were sodium cyanide and electricity next. Results proved that the largest damage of the dye production was attributed to resources and reached 46 and 62 kPt in the two scenarios. Compared with the conventional coal-fired power generation, damaged values of electricity from nature gas (NG) could reduce from 102 to 86 kPt in scenarios 1 and from 123 to 104 kPt in scenarios 2, respectively. When the electricity switched from NG to solar power, the values of the two scenarios could further decrease by 17 and 27 kPt, respectively. Therefore, the process of scenario 1 with the short process chain was more environmentally friendly for the production of Disperse blue 60 owing to the more efficient process and lower resource consumption. Graphic abstract. |
Databáze: | OpenAIRE |
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