Lithium-ion Battery Cost Analysis in PV-household Application
By Maik Naumann, R. C. Karl, C. Truong, Andreas Jossen, Holger C. Hesse. 2015
150 citations recorded by the source corpus.
Abstract With strongly decreasing prices of battery energy storage systems (BESS) and the stepwise reduction of remuneration for photovoltaic grid feed-in power in Germany, ‘home storage’ battery usage for buffering of surplus PV generation and subsequent self-consumption is a field of growing interest and market activity. In this paper we use a multi-parameter economic model which allows profitability estimation for BESS with sensitivity to both technical and economical parameters, such as battery end-of-life criterion, battery ageing behavior, electricity prices and storage investment costs. Using this model, we derive a clear picture of system profitability with dependence to all major influencing parameters. Applying the baseline ageing characteristic and given the German market price trends, system profitability is expected to be reached in the very near future.
Subfields: Automotive Engineering, Electrical and Electronic Engineering, Energy Engineering and Power Technology
View Paper: https://www.semanticscholar.org/paper/ac07857240b1d8c97fd0c072051cb9fda9b8f088
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In Automotive Engineering
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Citations in the corpus
- Economics of Residential Photovoltaic Battery Systems in Germany: The Case of Tesla’s Powerwall (2016, methodology): “Residential battery energy storage systems (BESS) to increase the self-consumption of rooftop photovoltaic (PV) installations remain economically unfavorable for the German market under almost all conditions; considering battery prices of 2015, the savings of such systems under German market conditi”
- Optimal battery storage operation for PV systems with tariff incentives (2017, background): “The need for enhanced economic model and profitability estimation of battery storage systems with PV was explored in [62].”