Journal
JOURNAL OF CLEANER PRODUCTION
Volume 172, Issue -, Pages 274-286Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2017.10.122
Keywords
Supply risk; Batteries; Lithium-ion; Analytic Hierarchy Process; Monte Carlo simulation
Categories
Funding
- Bavarian State Ministry of Education, Science and the Arts at the Institute of Materials Resource Management (MRM) of the University of Augsburg, Germany
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One possibility for electrification of road transport consists of battery electric vehicles in combination with carbon-free sources of electricity. It is highly likely that lithium-ion batteries will provide the basis for this development. In the present paper, we use a recently developed, semi-quantitative assessment scheme to evaluate the relative supply risks associated with the elements used in the functional materials of six different lithium-ion battery types. Eleven different indicators in four supply risk categories are applied to each element; the weighting of the indicators is determined by external experts within the framework of an Analytic Hierarchy Process. The range of supply risk values on the elemental level is distinctly narrower than in our previous work on photovoltaic materials. The highest values are obtained for lithium and cobalt; the lowest for aluminium and titanium. Copper, iron, nickel, carbon (graphite), manganese and phosphorous form the middle group. We then carry out the assessment of the six battery types, to give comparative supply risks at the technology level. For this purpose the elemental supply risk values are aggregated using four different methods. Due to the small spread at the elemental level the supply risk values in all four aggregation methods also lie in a narrow range. Removing lithium, aluminium and phosphorous from the analysis, which are present in all types of battery, improves the situation. For aggregation with the simple arithmetic mean, an uncertainty analysis shows that only lithium-iron phosphate has a measurably lower supply risk compared to the other battery types. For the cost-share aggregation using seven elements, lithium cobalt oxide has a substantially higher supply risk than most other types. (C) 2017 Elsevier Ltd. All rights reserved.
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