Modelling of the Electric Energy Storage Process in a PCM Battery

Anna Karbowniczak, Hubert Latała, Krzysztof Nęcka, Sławomir Kurpaska and Tomasz Bergel
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Anna Karbowniczak: Faculty of Production and Power Engineering, University of Agriculture in Krakow, 30-149 Krakow, Poland
Hubert Latała: Faculty of Production and Power Engineering, University of Agriculture in Krakow, 30-149 Krakow, Poland
Krzysztof Nęcka: Faculty of Production and Power Engineering, University of Agriculture in Krakow, 30-149 Krakow, Poland
Sławomir Kurpaska: Faculty of Production and Power Engineering, University of Agriculture in Krakow, 30-149 Krakow, Poland
Tomasz Bergel: Faculty of Environmental Engineering and Land Surveying, University of Agriculture in Krakow, 30-059 Krakow, Poland

Energies, 2022, vol. 15, issue 3, 1-17

Abstract: The essence of the research was the modeling of a real electric energy storage system in a phase change battery operating in a foil tunnel. The scope of the work covered the construction of two partial models, i.e., energy storage in the PCM accumulator and heat losses in the PCM accumulator. Their construction was based on modeling methods selected on the basis of a literature review and previous analyses, i.e., artificial neural networks, random forest, enhanced regression trees, MARS plines, standard multiple regression, standard regression trees, exhaustive for regression trees. Based on the analysis of the error values, the models of the best quality were selected. The final result of this study was the construction of such a model of the process of storing electricity in a PCM battery, characterized by the mean absolute percentage error forecast error of 1–2%. The achievement of this goal was possible thanks to the use of the artificial neural networks model for which the input variables were the amount of energy supplied to the accumulator and the temperature of the heat storage medium.

Keywords: energy storage system; photovoltaic conversion modeling; phase-change battery (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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