Prof. Dr.-Ing. Ilja Tuschy

2022

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

  Witte, F., Hofmann, M., Meier, J., Tuschy, I., & Tsatsaronis, G. (2022). Generic and Open-Source Exergy Analysis - Extending the Simulation Framework TESPy. Energies, 15. http://doi.org/10.3390/en15114087

  Abstract

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  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.

• Solarthermisch gestützte Nah- und Fernwärmeversorgung als Baustein der sektorgekoppelten Wärmewende in Schleswig-Holstein (SolWW-SH).

  Freißmann, J., Fritz, M., & Tuschy, I. (2022). Solarthermisch gestützte Nah- und Fernwärmeversorgung als Baustein der sektorgekoppelten Wärmewende in Schleswig-Holstein (SolWW-SH). Forschungsergebnisse. Abgerufen von http://www.znes-flensburg.de/sites/default/files/projects/SolWW-SH_ZNES_Forschungsergebnisse_2020531.pdf

• Parametric optimization and comparative study of an organic Rankine cycle power plant for two-phase geothermal sources

  Chen, C., Witte, F., Tuschy, I., Kolditz, O., & Shao, H. (2022). Parametric optimization and comparative study of an organic Rankine cycle power plant for two-phase geothermal sources. Energy, 123910. http://doi.org/https://doi.org/10.1016/j.energy.2022.123910

  Abstract

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  For two-phase geothermal sources, Organic Rankine Cycle (ORC) based binary plant is often applied for power production. In this work, a network topology is designed with the open-source Thermal Engineering Systems in Python (TESPy) software to simulate the stationary operation of the ORC plant. With this topology, the performance of six different working fluids are compared. From the thermodynamic perspective, the gross and net power output are optimized respectively. Results show that R600 has the highest gross power output of 17.55 MW, while R245fa has the highest net power output of 12.93 MW. However, the turbine inlet temperatures for these two working fluids need to be designed at the upper theoretical limit. R245ca and R601a require the heat exchange rates of internal heat exchanger to be larger than 1.51 MW and 0.99 MW to satisfy the re-injection temperature limit, which are smaller than the R600 (6.7 MW) and R245fa (6.0 MW) cases. Besides, the working fluid with lower critical state is preferred for a geothermal source with smaller steam fraction to establish a stable ORC plant. The workflow for the ORC design and optimization in this work is generic, and can be further applied to thermo-economic investigation.