Alessio Rakipi
Evaluation of Loss Models Predictions in One-Dimensional Analysis of Centrifugal Compressors.
Rel. Mirko Baratta, Simone Salvadori, Daniela Anna Misul, Nicola Talia. Politecnico di Torino, Master of science program in Mechanical Engineering, 2025
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Abstract
Compressed Air Energy Storage (CAES) systems are emerging as a promising large-scale energy storage technology, where the efficiency of the compression process has a direct impact on the overall cycle performance. Centrifugal compressors represent a critical component, and the availability of reliable prediction tools is essential to support their design, optimization, and integration into such systems. While three-dimensional CFD simulations can provide highly accurate results, they are computationally intensive and not always suitable for preliminary design phases, where faster evaluation methods are required. This thesis focuses on the study of the performance of a one-dimensional model for centrifugal compressor performance prediction, implemented in MATLAB.
The model computes key parameters such as pressure ratio and isentropic efficiency directly from the compressor geometry and boundary conditions
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