Whether you attended ISimT-26 in Germany or missed out this time, you can still get a copy of the technical presentation presented by Prof. Mehrdad Zangeneh.
The presentation presents an enhanced methodology for the design of centrifugal compressors used in high-temperature heat pump (HTHP) applications.
Building on previous inverse design work, an expanded cycle analysis is introduced to enhance flexibility in early-stage sizing, including RPM optimization and off-design performance evaluation. The workflow couples heat pump cycle modelling with meanline analysis to guide refrigerant selection and initial impeller sizing, ensuring that thermodynamic requirements for real gases are well integrated into the aerodynamic design process, by using REFPROP look up tables. By considering three different refrigerants (R1233zd, R1224yd and R601), a baseline impeller for the most promising refrigerant is then generated by using a 3D inverse design method.
A novel machine learning approach is applied, combining TURBOdesign’s key design parameters with high-fidelity CFD simulations to optimize aerodynamic performance and flow characteristics at multiple operating points. Results demonstrate how machine learning enhanced inverse design optimization can contribute to efficient and robust compressor designs, adaptable to varying refrigerants and operating conditions. This ensures high COP for the high temperature heat pump over its most important operating conditions.
Authors: Prof. Mehrdad Zangeneh, Oskar Freytag, Eric Hsieh and Mihai Bleiziffer.
Complete the form to receive a digital copy of the presentation.
