Generic and Open-Source Exergy Analysis—Extending the Simulation Framework TESPy

Francesco Witte, Mathias Hofmann, Julius Meier, Ilja Tuschy and George Tsatsaronis
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Francesco Witte: Department of Energy and Biotechnology, Flensburg University of Applied Sciences, Kanzleistraße 91-93, 24943 Flensburg, Germany
Mathias Hofmann: Institute for Energy Engineering, Technische Universität Berlin, Marchstraße 18, 10587 Berlin, Germany
Julius Meier: Institute for Energy Engineering, Technische Universität Berlin, Marchstraße 18, 10587 Berlin, Germany
Ilja Tuschy: Department of Energy and Biotechnology, Flensburg University of Applied Sciences, Kanzleistraße 91-93, 24943 Flensburg, Germany
George Tsatsaronis: Institute for Energy Engineering, Technische Universität Berlin, Marchstraße 18, 10587 Berlin, Germany

Energies, 2022, vol. 15, issue 11, 1-27

Abstract: Exergy-based methods support the identification of thermodynamic inefficiencies and the discovery of optimization potentials in thermal engineering applications. Although a large variety of simulation software is available in this field, most do not offer an integrated solution for exergy analysis. While there are commercial products on the market with such capabilities, their access for research and educational purposes is limited. The presented open-source software offers an integrated and fully automated exergy analysis tool for thermal conversion processes. In a first step, physical exergy is implemented, and the tool is then applied to three different example plants to highlight its capabilities and validate the implementation: A solar thermal power plant, a supercritical CO 2 power cycle, and an air refrigeration cycle. The respective models and the results of the analyses are presented briefly. By providing the results in modern data structures, they are easily accessible and postprocessible. Future work will include chemical exergy to enable analyses of applications with conversion of matter. Additionally, the implementation of the exergoeconomic analysis and optimization is envisaged.

Keywords: exergy analysis; simulation; free and open-source software; thermal conversion processes; Python; generic topologies; Grassmann diagram; solar thermal power plant; supercritical carbon dioxide power cycle; air refrigeration cycle (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 (2)

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