Investigation, modeling and simulation of redox-flow, lithium-ion and lead-acid battery systems for home storage applications

Schlund J, Betzin C, Wolfschmidt H, Veerashekar K, Luther M (2017)

Publication Language: English

Publication Type: Conference contribution, Original article

Publication year: 2017

Conference Proceedings Title: Proceedings of the 11th International Renewable Energy Storage Conference (IRES 2017)

Event location: Düsseldorf DE

Abstract

In this paper three different storage system solutions were investigated, modeled and simulated in order to describe their operational behavior and benefits for home storage applications. A redox-flow, a lithium-ion and a lead-acid battery were connected via converters with the grid. Their total performance was analyzed and correlations between the efficiency and the power as well as the performance limits and the state of charge were determined by the means of test runs. The real capacity and the losses of all single components were ascertained in the laboratory. Hence, the results of the measurements represent a quantified assessment of the state-of-the art of storage technologies.
On the basis of the test results mathematical models of the storage systems were developed. They reproduce the influences of the different components separately and are capable of being parameterized and scaled within certain limits of power and energy content. The models were validated by the means of a five-day experiment and reached an accuracy of prediction with a mistake of an upper bound of 3.3 % in average for the three different systems. The operation of the storage systems in a private household with a photovoltaic system was simulated over one year with the developed models. The average efficiency factors reach approximately 53 % (redox-flow), 72 % (lithiumion) and 67 % (lead acid). The simulations showed that the self-sufficiency-rate and the self-consumption-rate can be improved to 60 % and 45 % respectively at the given setup of a 5 kWp photovoltaic system and a usable battery capacity of 8 kWh.

Authors with CRIS profile

Jonas Schlund Computer Science 7 (Computer Networks and Communication Systems) Christopher Betzin Lehrstuhl für Elektrische Energiesysteme Kishan Veerashekar Lehrstuhl für Elektrische Energiesysteme Matthias Luther Lehrstuhl für Elektrische Energiesysteme

Related research project(s)

Multi Battery Systems - Hybrid and New Storage Simulation Tool (Multi Battery Systems (MBS)) May 1, 2017 - April 30, 2020 Koordinierte Kleinspeicher im Verteilnetz der N-ERGIE Aktiengesellschaft (SWARM) (SWARM) Jan. 1, 2015 - Dec. 31, 2017

Involved external institutions

Siemens AG, Sector Corporate Technology DE Germany (DE)

How to cite

APA:

Schlund, J., Betzin, C., Wolfschmidt, H., Veerashekar, K., & Luther, M. (2017). Investigation, modeling and simulation of redox-flow, lithium-ion and lead-acid battery systems for home storage applications. In Proceedings of the 11th International Renewable Energy Storage Conference (IRES 2017). Düsseldorf, DE.

MLA:

Schlund, Jonas, et al. "Investigation, modeling and simulation of redox-flow, lithium-ion and lead-acid battery systems for home storage applications." Proceedings of the 11th International Renewable Energy Storage Conference (IRES 2017), Düsseldorf 2017.

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