Author:
Bartie Neill,Cobos-Becerra Lucero,Fröhling Magnus,Schlatmann Rutger,Reuter Markus
Abstract
Abstract
Various high-purity metals endow renewable energy technologies with specific functionalities. These become heavily intertwined in products, complicating end-of-life treatment. To counteract downcycling and resource depletion, maximising both quantities and qualities of materials recovered during production and recycling processes should be prioritised in the pursuit of sustainable circular economy. To do this well requires metallurgical infrastructure systems that maximise resource efficiency.To illustrate the concept, digital twins of two photovoltaic (PV) module technologies were created using process simulation. The models comprise integrated metallurgical systems that produce, among others, cadmium, tellurium, zinc, copper, and silicon, all of which are required for PV modules. System-wide resource efficiency, environmental impacts, and technoeconomic performance were assessed using exergy analysis, life cycle assessment, and cost models, respectively. High-detail simulation of complete life cycles allows for the system-wide effects of various production, recycling, and residue exchange scenarios to be evaluated to maximise overall sustainability and simplify the distribution of impacts in multiple-output production systems. This paper expands on previous studies and demonstrates the key importance of metallurgy in achieving Circular Economy, not only by means of reactors, but via systems and complete supply chains—not only the criticality of elements, but also the criticality of available metallurgical processing and other infrastructure in the supply chain should be addressed. The important role of energy grid compositions, and the resulting location-based variations in supply chain footprints, in maximising energy output per unit of embodied carbon footprint for complete systems is highlighted.
Funder
Technische Universität Braunschweig
Publisher
Springer Science and Business Media LLC
Subject
Social Sciences (miscellaneous),Economics, Econometrics and Finance (miscellaneous)
Reference74 articles.
1. [EEA] European Energy Agency (2021) Greenhouse gas emission intensity of electricity generation by country. https://www.eea.europa.eu/data-and-maps/daviz/co2-emission-intensity-9/#tabgooglechartid_googlechartid_googlechartid_chart_11. Accessed 10 March 2022
2. Abadías Llamas A, Valero Delgado A, Valero Capilla A, Torres Cuadra C, Hultgren M, Peltomäki M, Roine A, Stelter M, Reuter MA (2019) Simulation-based exergy, thermo-economic and environmental footprint analysis of primary copper production. Miner Eng 131:51–65. https://doi.org/10.1016/j.mineng.2018.11.007
3. Abadías Llamas A, Bartie NJ, Heibeck M, Stelter M, Reuter MA (2020) Simulation-Based Exergy Analysis of Large Circular Economy Systems: Zinc Production Coupled to CdTe Photovoltaic Module Life Cycle. J Sustain Metall 6:34–67. https://doi.org/10.1007/s40831-019-00255-5
4. Ayres RU (1998) Eco-thermodynamics: economics and the second law. Ecol Econ 26:189–209. https://doi.org/10.1016/S0921-8009(97)00101-8
5. Bartie NJ, Abadías Llamas A, Heibeck M, Fröhling M, Volkova O, Reuter MA (2020) The simulation-based analysis of the resource efficiency of the circular economy – the enabling role of metallurgical infrastructure. Miner Process Ext Metall 129:229–249. https://doi.org/10.1080/25726641.2019.1685243
Cited by
13 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献