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An Iterative Method to Derive the Equivalent Centrifugal Compressor Performance at Various Operating Conditions: Part II: Modeling of Gas Properties Impact

Author

Listed:
  • Waleed Albusaidi

    (School of Aerospace, Transport and Manufacturing, Cranfield University, Bedfordshire MK43 0AL, UK)

  • Pericles Pilidis

    (School of Aerospace, Transport and Manufacturing, Cranfield University, Bedfordshire MK43 0AL, UK)

Abstract

This is the second part of a study conducted to model the aerothermodynamic impact of suction parameters and gas properties on a multi-stage centrifugal compressor’s performance. A new iterative method has been developed in the first part to derive the equivalent performance at various operating conditions. This approach has been validated to predict the compressor map at different suction pressures and temperatures using the design characteristics as reference values. A further case is included in this paper in order to emphasize the validity of the developed approach to obtain the performance characteristics at various gas compositions. The provided example shows that the performance parameters at different gas mixtures can be predicted to within ±1.34%. Furthermore, the conducted optimization in this paper reveals that the proposed method can be applied for the compressor design evaluation corresponding to the expected variation in suction conditions. Moreover, the examined case study demonstrates the effect of gas properties’ variation on the operating point and aerodynamic stability of the entire compression system. In order to achieve that, a simple approach has been established to assess the contribution of gas properties’ variation to the inefficient and unstable compressor performance based on the available operational data.

Suggested Citation

  • Waleed Albusaidi & Pericles Pilidis, 2015. "An Iterative Method to Derive the Equivalent Centrifugal Compressor Performance at Various Operating Conditions: Part II: Modeling of Gas Properties Impact," Energies, MDPI, vol. 8(8), pages 1-21, August.
  • Handle: RePEc:gam:jeners:v:8:y:2015:i:8:p:8516-8536:d:54063
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    Cited by:

    1. aus der Wiesche, Stefan & Reinker, Felix, 2022. "Dimensional analysis and performance laws for organic vapor flow turbomachinery," Energy, Elsevier, vol. 257(C).

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