Vierunketo Minerva, Klemettinen Anna, Reuter Markus A, Santasalo-Aarnio Annukka, Serna-Guerrero Rodrigo
Department of Chemical and Metallurgical Engineering, School of Chemical Engineering, Aalto University, P.O. Box 16200, 00076 Aalto, Finland.
SMS-Group GmbH, Eduard-Schloemann-Straße 4, 40237 Düsseldorf, Germany.
iScience. 2023 Oct 17;26(11):108237. doi: 10.1016/j.isci.2023.108237. eCollection 2023 Nov 17.
Recycling processes are an important stage in the raw material life cycle, as it enables the transition from a linear economy into a circular one. However, the currently available indicators of productivity in recycling technologies respond to the needs of a linear economy. In this work, a parameter called "exentropy" is proposed, offering the possibility to simultaneously account for mass preservation and the energy efficiency of transformative stages. As a proof-of-concept of this indicator, the analysis of a lithium-ion battery recycling process under various concentrations of a leaching reagent (i.e., 0.1M, 1M, and 2M) is presented. It is shown that, when the energy or mass dimensions are considered independently, the processes considered optimal may have conflicting characteristics. In contrast, the multi-dimensional analysis identified the process option offering the best compromise for both material and energy preservation, an aspect closer to the goals of the circular economy.
回收过程是原材料生命周期中的一个重要阶段,因为它能够实现从线性经济向循环经济的转变。然而,目前回收技术中可用的生产率指标是为满足线性经济的需求而设计的。在这项工作中,提出了一个名为“exentropy”的参数,它能够同时考虑质量守恒和转化阶段的能源效率。作为该指标的概念验证,本文对不同浓度浸出剂(即0.1M、1M和2M)下的锂离子电池回收过程进行了分析。结果表明,当单独考虑能量或质量维度时,被认为最优的过程可能具有相互冲突的特性。相比之下,多维分析确定了在材料和能源保存方面提供最佳折衷方案的过程选项,这更接近循环经济的目标。