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Opportunities for converting waste plastics into petrochemicals: Process design, multi-objective optimization, and omnidirectional techno-economic-society-environment assessment

石油化工 生命周期评估 过程(计算) 废物管理 催化裂化 工艺工程 开裂 环境科学 环境经济学 工程类 计算机科学 材料科学 生产(经济) 经济 复合材料 宏观经济学 操作系统
作者
Xiaobo Chen,Jinqing Zhang,Zhibo Zhang,Zihao Zhang,Zhibo Zhang,Yaqi Zheng,Zihao Zhang,Xin Zhou,Yaqi Zheng,Ting Wang,Guoliang Li,R. T. Ma,Qi Han,Chaohe Yang,Yibin Liu,Xingong Zhang,Chaohe Yang
出处
期刊:Journal of Cleaner Production [Elsevier BV]
卷期号:440: 140821-140821 被引量:17
标识
DOI:10.1016/j.jclepro.2024.140821
摘要

Waste plastics catalytic cracking, a carbon-negative process from the life cycle perspective, is a forceful executable configuration for cyclic utilization in the ecology. However, industrializing this emerging process requires to prevail a series of challenges, including time-consuming and massive pilot tests, process strengthening, and parameter optimization. To accelerate industrialization, we developed a fraction-structure lumps reaction model that significantly improves efficiency and accuracy. Moreover, multi-objective optimization and multi-dimensional evaluation were further done by implementing this process model. Together, a subsequent assessment of society and the environment was carried out. Compared with the non-optimized process, the optimized waste plastic catalytic cracking process exhibits superior economic, social, and environmental performance. The final optimization results of the reaction temperature and catalyst/oil ratio are 564.27 and 25.95, respectively. Quantitative results of this study indicate that catalytic cracking of waste plastics can effectively reduce the emissions of 1.86 t CO2 eq/t feedstocks. For the 200,000-ton scale waste plastic catalytic cracking process constructed, it can effectively reduce 372,000 tons of carbon dioxide equivalent emissions annually. From the view of life cycle society-environment behavior, it can be intuitively seen that the primary energy consumption of the WPCC-Pro process optimized based on the same functional units (considering social and environmental factors) is better than that of the WPCC process.
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