Preliminary verification of the open-source CFD solver SU2 for radial-inflow turbine applications

Keep, Joshua A.; Vitale, Salvatore; Pini, Matteo; Burigana, Matteo

doi:10.1016/j.egypro.2017.09.130

Cited by 10 publications

(7 citation statements)

References 13 publications

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“…To test the capabilities of the new design framework, the flow solver was first validated against the experimental results obtained from two conventional turbines whose test cases were available in literature: the Aachen Turbine [28,29], and the single-stage radial turbine of an auxiliary power unit (referred to as the APU turbine in this paper) [30]. Second, the flow solver was also verified against experimental measurements performed on a small radial ORC turbine partially operating in the so-called nonideal compressible fluid dynamic (NICFD) regime [31]. To the authors' knowledge, this represents the first contribution to the open literature reporting the validation of a CFD solver against measurements performed on a mini-ORC turbine.…”

Section: Introductionmentioning

confidence: 99%

Multistage Turbomachinery Design Using the Discrete Adjoint Method Within the Open-Source Software SU2

Vitale

Pini

Colonna

2020

Journal of Propulsion and Power

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This paper documents a fully turbulent discrete adjoint method for three-dimensional multistage turbomachinery design. The method is based on a duality preserving algorithm and is implemented in the open-source computational fluid dynamics tool SU2. The SU2 Reynolds-averaged Navier-Stokes solver is first extended to treat threedimensional steady turbomachinery flow using a conservative formulation of the mixing-plane coupled to nonreflective boundary conditions. The numerical features of the flow solver are automatically inherited by the discrete adjoint solver, ensuring the same convergence rate of the primal solver. The flow solver is then validated against experimental data available for three turbine configurations, namely, a one-and-half axial turbine stage, a transonic radial turbine coupled to a downstream diffuser, and a supersonic mini-organic Rankine cycle radial turbine operating with a fluid made by a heavy molecule. Finally the adjoint-based optimization framework is applied to the concurrent shape optimization of three rows of the axial turbine, demonstrating the advantages deriving from adopting multirow automated design methods in the context of turbomachinery design.

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Section: Introductionmentioning

confidence: 99%

Multistage Turbomachinery Design Using the Discrete Adjoint Method Within the Open-Source Software SU2

Vitale

Pini

Colonna

2020

Journal of Propulsion and Power

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“…In this study, the open-source Stanford University Unstructured (SU2) code [41], which is particularly well suited for aerodynamic problems [42] is employed to solve the Navier-Stokes (NS) equations. The upwind Roe scheme with MUSCL reconstruction is utilized to calculate the convective fluxes for the NS equations to achieve the second order in space.…”

Section: Computational Settings and Gridmentioning

confidence: 99%

Study on the Tip Leakage Loss Mechanism of a Compressor Cascade Using the Enhanced Delay Detached Eddy Simulation Method

Lin,

Li,

Gao

2024

Entropy

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The leakage flow has a significant impact on the aerodynamic losses and efficiency of the compressor. This paper investigates the loss mechanism in the tip region based on a high-load cantilevered stator cascade. Firstly, a high-fidelity flow field structure was obtained based on the Enhanced Delay Detached Eddy Simulation (EDDES) method. Subsequently, the Liutex method was employed to study the vortex structures in the tip region. The results indicate the presence of a tip leakage vortex (TLV), passage vortex (PV), and induced vortex (IV) in the tip region. At i=4°,8°, the induced vortex interacts with the PV and low-energy fluid, forming a “three-shape” mixed vortex. Finally, a qualitative and quantitative analysis of the loss sources in the tip flow field was conducted based on the entropy generation rate, and the impact of the incidence on the losses was explored. The loss sources in the tip flow field included endwall loss, blade profile loss, wake loss, and secondary flow loss. At i=0°, the loss primarily originated from the endwall and blade profile, accounting for 40% and 39%, respectively. As the incidence increased, the absolute value of losses increased, and the proportion of loss caused by secondary flow significantly increased. At i=8°, the proportion of secondary flow loss reached 47%, indicating the most significant impact.

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“…The Jones data are widely used for CFD code validation since Sauret (2012) rediscovered this case and presented CFD results. Several authors (Sauret 2012, Keep et al 2017, Al Jubori et al 2017 predicted higher efficiencies of between two and four percentage points. Odabaee et al (2014) however, calculated a considerably smaller efficiency by about 5-6 percentage points whilst Gad-el Hak et al (2017) got a nearly perfect match (within 0.3 percentage points).…”

Section: Introductionmentioning

confidence: 99%

Design and off-design optimisation of an organic Rankine cycle (ORC) system with an integrated radial turbine model

Schuster

Markides

White

2020

Applied Thermal Engineering

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This paper investigates the design and thermodynamic optimisation of both sub-and transcritical organic Rankine cycle (ORC) power systems featuring radial turbines via performance calculations using mean-line models. The emphasis is on rapid performance predictions for a given turbine geometry, as well as geometric optimisation for a given heat source. From three specified quantities, which are the turbine inlet temperature, inlet pressure and mass flow rate, the other flow properties (e.g., outlet pressure and temperature) are computed, together with derived quantities which are required for cycle-or system-level assessments, such as the isentropic efficiency of the turbine. Experimental investigations from the open literature suitable for validation purposes are summarised and analysed with respect to their strengths and weaknesses. Similar computational fluid dynamic (CFD) simulations are also used to complement the available experimental data. The main contributions of this paper are that it provides a comprehensive overview of radial turbine performance modelling, and that it proposes a detailed framework that can be used for the improved development of efficient thermodynamic power systems based on a unified mean-line model that is validated against experimental data and supported by CFD results. Specifically, predictions from the mean-line model show good accuracy over a wide range of operating conditions for different turbine designs and fluids with compressibility factors from 0.6 -1.0. Finally, in order to demonstrate its efficacy, the integrated radial turbine and ORC system design framework is used in a case study of a nominally 400-kW power system with propane as the working fluid in low-grade waste-heat application, where the turbine inlet temperature is fixed at 150°C and the condenser temperature is fixed at 15°C. The novelty of this work arises from the optimisation of the turbine nozzle vane position at off-design conditions. This feature, along with multi-stage radial turbine designs are shown to allow high-performance operation over a wide range of off-design conditions. Specifically, good efficiencies are demonstrated over a wide range of heat-source fluid flow rates when employing an adjustable nozzle geometry, as is the ability of radial turbines to achieve efficiencies that are not constrained by the pressure ratio across them by replacing single-stage designs with multi-stage designs.

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Preliminary verification of the open-source CFD solver SU2 for radial-inflow turbine applications

Cited by 10 publications

References 13 publications

Multistage Turbomachinery Design Using the Discrete Adjoint Method Within the Open-Source Software SU2

Multistage Turbomachinery Design Using the Discrete Adjoint Method Within the Open-Source Software SU2

Study on the Tip Leakage Loss Mechanism of a Compressor Cascade Using the Enhanced Delay Detached Eddy Simulation Method

Design and off-design optimisation of an organic Rankine cycle (ORC) system with an integrated radial turbine model

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