Considerations when Modelling EV Battery Circularity Systems
| Autor: | Ulrika Harlin, Mats I. Johansson, Burçak Ebin, Martin Kurdve, Mats Zackrisson |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
020209 energy Automotive industry Energy Engineering and Power Technology 02 engineering and technology recycling 010501 environmental sciences Reuse 01 natural sciences remanufacturing modelling electric vehicle batteries lcsh:TK1001-1841 0202 electrical engineering electronic engineering information engineering Electrochemistry Production (economics) Electrical and Electronic Engineering Remanufacturing 0105 earth and related environmental sciences Ecological footprint business.industry Circular economy circular economy reuse lcsh:Production of electric energy or power. Powerplants. Central stations second life lcsh:Industrial electrochemistry Risk analysis (engineering) Work (electrical) Systems design business lcsh:TP250-261 |
| Zdroj: | Batteries, Vol 5, Iss 2, p 40 (2019) Batteries Volume 5 Issue 2 |
| ISSN: | 2313-0105 |
| DOI: | 10.3390/batteries5020040 |
| Popis: | The electric vehicle market is expected to grow substantially in the coming years, which puts new requirements on the end-of-life phase and on the recycling systems. To a larger extent, the environmental footprint from these vehicles is related to raw material extraction and production, and, consequently, a material- and energy-efficient 3R system (reuse, remanufacturing, recycling) is urgently needed. The ability to understand and model the design and development of such a system therefore becomes important. This study contributes to this by identifying factors that affect 3R system design and performance, relating these factors to the various actors and processes of the system and categorising them according to time from implementation to impact. The above is achieved by applying a PEST analysis (political, economic, social and technological factors), differentiating between political, economic, social and technological factors. Data were gathered from literature, by interviews and by a number of workshops in the automotive industry and the 3R system and observations at meetings, etc. The study confirms some previous results on how vehicle battery 3R systems work and adds knowledge about the influencing factors, especially the timeframes and dynamics of the system, necessary for modelling the system and the influencing factors. For practitioners, the results indicate how to use appropriate models and which factors are most relevant to them. |
| Databáze: | OpenAIRE |
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