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Flows in Complex Systems

Preliminary Design and Performance Estimation of Radial Inflow Turbines: An Automated Approach

[+] Author and Article Information
Carlos A.M. Ventura

School of Mechanical and Mining Engineering, Queensland Geothermal Energy Centre of Excellence,  The University of Queensland, Brisbane, Queensland, QLD 4072, Australiac.demirandaventura@uq.edu.au

Peter A. Jacobs

School of Mechanical and Mining Engineering, Queensland Geothermal Energy Centre of Excellence,  The University of Queensland, Brisbane, Queensland, QLD 4072, Australiap.jacobs@uq.edu.au

Andrew S. Rowlands

School of Mechanical and Mining Engineering, Queensland Geothermal Energy Centre of Excellence,  The University of Queensland, Brisbane, Queensland, QLD 4072, Australiaa.rowlands@uq.edu.au

Paul Petrie-Repar

School of Mechanical and Mining Engineering, Queensland Geothermal Energy Centre of Excellence,  The University of Queensland, Brisbane, Queensland, QLD 4072, Australiap.petrierepar@uq.edu.au

Emilie Sauret

School of Mechanical and Mining Engineering, Queensland Geothermal Energy Centre of Excellence,  The University of Queensland, Brisbane, Queensland, QLD 4072, Australiae.sauret@uq.edu.au

J. Fluids Eng 134(3), 031102 (Mar 23, 2012) (13 pages) doi:10.1115/1.4006174 History: Received February 09, 2012; Revised February 15, 2012; Accepted February 16, 2012; Published March 20, 2012; Online March 23, 2012

A comprehensive one-dimensional meanline design approach for radial inflow turbines is described in the present work. An original code was developed in Python that takes a novel approach to the automatic selection of feasible machines based on pre-defined performance or geometry characteristics for a given application. It comprises a brute-force search algorithm that traverses the entire search space based on key non-dimensional parameters and rotational speed. In this study, an in-depth analysis and subsequent implementation of relevant loss models as well as selection criteria for radial inflow turbines is addressed. Comparison with previously published designs, as well as other available codes, showed good agreement. Sample (real and theoretical) test cases were trialed and results showed good agreement when compared to other available codes. The presented approach was found to be valid and the model was found to be a useful tool with regards to the preliminary design and performance estimation of radial inflow turbines, enabling its integration with other thermodynamic cycle analysis and three-dimensional blade design codes.

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Copyright © 2012 by American Society of Mechanical Engineers
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Figures

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Figure 1

Overview of the calculation process

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Figure 2

Velocity triangles and radial inflow turbine geometric parameters

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Figure 3

Radial inflow turbine rotor blade geometric parameters

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Figure 4

Simplified model algorithm

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Figure 5

Flow and head coefficient versus efficiency for several rotational speed ranges: top to bottom: 10,000-120,000 [RPM] (Full Range); 10,000-20,000 [RPM]; 20,000-30,000 [RPM]; 30,000-40,000 [RPM]

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Figure 6

Histogram Chart for Flow and Head Coefficient over the Full Range of Rotational Speeds (10,000-120,000 [RPM])

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