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Abstract CPOTE2026-12060-A

Computational study of the influence of geometrical parameters on the operation of micro compressed air energy storage

  • Zbigniew Buliński 1
  • Tomasz Krysiński 1
  • Ireneusz Szczygieł 2
  • Bartłomiej Rutczyk 3
  • Dominik Gryboś 4
  • Jan Markowski 4
  • Jacek Leszczynski 4
  1. 1 Silesian University of Technology, Poland
  2. 2 Silesian University of Technology // Department of Thermal Technology // Faculty of Energy and Environmental Engineering, Poland
  3. 3 Silesian University of Technology, Department of Energy and Environmental Engineering, Chair of Thermal Technology, Poland
  4. 4 AGH University of Krakow, Poland
The current prototype the Compressed Air Energy Storage (CAES) installations achieve the efficiency of converting the electricity consumed in the compression process into electricity supplied to the grid by not more than 50%, with an efficiency record of 61%. The efficiency of the gas compression stage along with heat recovery and storage is well recognized in the literature and ranges from 85 to over 90%. However, there is a gap in research on the gas expansion process, with an efficiency range of 40-70%. According to the compressed gas injection into the expander should be treated as an impinging wave upon a piston (plate of finite mass) which transfers energy and momentum. The paper presents development of mathematical model and preliminary study of the expansion process in the cylinder-piston subsystem of CAES system. Developed model covers all modes of heat transfer and dynamics of piston movement. This approach allows to analyse details of the injection process and mechanical interaction with moving piston. The developed model was used to analyse influence of the crucial geometrical parameters of the microCAES on the performance of compression process, showing a space for optimisation of the process in terms of torque availability at the shaft.

Keywords

  • Computational fluid dynamics (CFD)
  • Energy storage
  • Micro compressed air energy storage
  • Optimisation
  • Model order reduction

Acknowledgment

The research has been supported by National Science Centre within OPUS-LAP scheme under contract number UMO-2024/55/I/ST8/00539. JL acknowledge support The Polish National Agency for Academic Exchange (NAWA), within the Strategic Partnerships Program, Project No. BPI/PST/2024/1/00046. JL, DG and JM acknowledge support of the research subvention under contract no. 16.16.210.476, supported by the Polish Ministry of Science and Higher Education: Jacek Leszczyński, Dominik Gryboś, Jan Markowski.

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