Lifetime Analysis of Energy Storage Systems for Sustainable Transportation

Peter Haidl, Armin Buchroithner, Bernhard Schweighofer, Michael Bader and Hannes Wegleiter
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Peter Haidl: Institute of Electrical Measurement and Measurement Signal Processing, Energy Aware Systems Group, Graz University of Technology, 8010 Graz, Austria
Armin Buchroithner: Institute of Electrical Measurement and Measurement Signal Processing, Energy Aware Systems Group, Graz University of Technology, 8010 Graz, Austria
Bernhard Schweighofer: Institute of Electrical Measurement and Measurement Signal Processing, Energy Aware Systems Group, Graz University of Technology, 8010 Graz, Austria
Michael Bader: Institute of Machine Components and Methods of Development, Graz University of Technology, 8010 Graz, Austria
Hannes Wegleiter: Institute of Electrical Measurement and Measurement Signal Processing, Energy Aware Systems Group, Graz University of Technology, 8010 Graz, Austria

Sustainability, 2019, vol. 11, issue 23, 1-21

Abstract: On the path to a low-carbon future, advancements in energy storage seem to be achieved on a nearly daily basis. However, for the use-case of sustainable transportation, only a handful of technologies can be considered, as these technologies must be reliable, economical, and suitable for transportation applications. This paper describes the characteristics and aging process of two well-established and commercially available technologies, namely Lithium-Ion batteries and supercaps, and one less known system, flywheel energy storage, in the context of public transit buses. Beyond the obvious use-case of onboard energy storage, stationary buffer storage inside the required fast-charging stations for the electric vehicles is also discussed. Calculations and considerations are based on actual zero-emission buses operating in Graz, Austria. The main influencing parameters and effects related to energy storage aging are analyzed in detail. Based on the discussed aging behavior, advantages, disadvantages, and a techno-economic analysis for both use-cases is presented. A final suitability assessment of each energy storage technology concludes the use-case analysis.

Keywords: flywheel energy storage; FESS; e-mobility; battery; supercapacitor; lifetime comparison; charging station; renewable energy storage (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:23:p:6731-:d:291527

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