从废催化剂中回收Mo、V、Ni和Co的生命周期评价

Riina Aromaa-Stubb, Marja Rinne and Mari Lundström*, 
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摘要

石油炼制中使用的MoCo/γ-Al2O3催化剂通常回收Mo和V;然而,所含的Ni和Co通常不会作为纯化产品回收。本研究的目的是评估回收废催化剂和回收所有有价金属的环境影响:Mo为MoO3, V为V2O5, Ni为Ni(OH)2, Co为Co(OH)2。通过过程模拟对系统的输入和输出进行研究,并利用收集到的过程数据清单进行生命周期评估以确定环境影响。结果表明,当废催化剂中Mo、V、Ni和Co含量足够高时,回收系统的潜在环境影响低于初级生产同等产品的潜在环境影响。例如,回收系统的全球变暖从主要影响的250%(金属含量为6wt %)减少到53%(金属含量为29wt %)。发现回收过程中的工艺热点主要集中在该过程消耗的化学品和公用事业的生产中。特别是NH3、电、HCl、NaOH和H2SO4增加了对环境的影响。此外,在回收过程中产生了直接的气体排放,这大大加剧了全球变暖和酸化。采用基于过程模拟的生命周期评价方法,结合多种不确定度和灵敏度分析方法,对MoCo/γ-Al2O3催化剂回收过程的环境影响进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Life Cycle Assessment of Mo, V, Ni, and Co Recovery from Spent Catalyst

MoCo/γ-Al2O3 catalysts used in petroleum refining are commonly recycled to recover Mo and V; however, the contained Ni and Co are not typically recovered as purified products. The goal of this study was to evaluate the environmental impacts of recycling a spent catalyst and recovering all of the valuable metals: Mo as MoO3, V as V2O5, Ni as Ni(OH)2, and Co as Co(OH)2. Process simulation was used to study the inputs and outputs of the system, and the gathered process data inventory was used to perform life cycle assessment to determine the environmental impacts. The results show that when the content of Mo, V, Ni, and Co in the spent catalyst is high enough, the potential environmental impacts of the recycling system are lower than those of the primary production of equivalent products. For example, the global warming of the recycling systems decreases from 250% of the primary impacts (with 6 wt % metal content) to 53% (with 29 wt % metal content). The process hotspots in the recycling process were found to be mainly in the production of the chemicals and utilities consumed by the process. Particularly NH3, electricity, HCl, NaOH, and H2SO4 increased the environmental impacts. In addition, in the recycling process direct gaseous emissions were generated, which contributed substantially to global warming and acidification.

The environmental impacts of MoCo/γ-Al2O3 catalyst recycling are evaluated using process simulation-based life cycle assessment with several uncertainty and sensitivity analysis methods to determine the influence of simulation parameter uncertainty.

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