LAPSE:2023.12884
Published Article

LAPSE:2023.12884
Generic and Open-Source Exergy Analysis—Extending the Simulation Framework TESPy
February 28, 2023
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 CO2 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.
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 CO2 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.
Record ID
Keywords
air refrigeration cycle, exergy analysis, free and open-source software, generic topologies, Grassmann diagram, Python, Simulation, solar thermal power plant, supercritical carbon dioxide power cycle, thermal conversion processes
Subject
Suggested Citation
Witte F, Hofmann M, Meier J, Tuschy I, Tsatsaronis G. Generic and Open-Source Exergy Analysis—Extending the Simulation Framework TESPy. (2023). LAPSE:2023.12884
Author Affiliations
Witte F: Department of Energy and Biotechnology, Flensburg University of Applied Sciences, Kanzleistraße 91-93, 24943 Flensburg, Germany; Center for Sustainable Energy Systems (ZNES), 24943 Flensburg, Germany [ORCID]
Hofmann M: Institute for Energy Engineering, Technische Universität Berlin, Marchstraße 18, 10587 Berlin, Germany [ORCID]
Meier J: Institute for Energy Engineering, Technische Universität Berlin, Marchstraße 18, 10587 Berlin, Germany [ORCID]
Tuschy I: Department of Energy and Biotechnology, Flensburg University of Applied Sciences, Kanzleistraße 91-93, 24943 Flensburg, Germany; Center for Sustainable Energy Systems (ZNES), 24943 Flensburg, Germany [ORCID]
Tsatsaronis G: Institute for Energy Engineering, Technische Universität Berlin, Marchstraße 18, 10587 Berlin, Germany
Hofmann M: Institute for Energy Engineering, Technische Universität Berlin, Marchstraße 18, 10587 Berlin, Germany [ORCID]
Meier J: Institute for Energy Engineering, Technische Universität Berlin, Marchstraße 18, 10587 Berlin, Germany [ORCID]
Tuschy I: Department of Energy and Biotechnology, Flensburg University of Applied Sciences, Kanzleistraße 91-93, 24943 Flensburg, Germany; Center for Sustainable Energy Systems (ZNES), 24943 Flensburg, Germany [ORCID]
Tsatsaronis G: Institute for Energy Engineering, Technische Universität Berlin, Marchstraße 18, 10587 Berlin, Germany
Journal Name
Energies
Volume
15
Issue
11
First Page
4087
Year
2022
Publication Date
2022-06-01
ISSN
1996-1073
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Original Submission
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PII: en15114087, Publication Type: Journal Article
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LAPSE:2023.12884
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https://doi.org/10.3390/en15114087
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Feb 28, 2023
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