Comparison of steady and unsteady RANS CFD simulation of a supersonic ORC turbine

Obert, Benoit; Cinnella, Paola

doi:10.1016/j.egypro.2017.09.122

Cited by 14 publications

(6 citation statements)

References 4 publications

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“…Their approach yielded impressive results, with a net power output of 393.06 kW and a significant 7.5% increase achieved through optimization. Additionally, Obert and collaborators [19] examined the complexities of ORC turbine performance through CFD simulations, particularly emphasizing the non-ideal behavior of hexamethyldisiloxane (MM). Their study meticulously assessed stator/rotor flow interaction effects on blade performance and flow structure, shedding light on critical factors influencing turbine efficiency and operation.…”

Section: Introductionmentioning

confidence: 99%

Choosing the Most Suitable Working Fluid for a CTEC

Achkienasi,

Silva,

Mendoza

et al. 2024

Energies

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This study aims to explore additional fluids beneficial for coastal thermal energy converter (CTEC) operation. Ammonia’s thermodynamic properties, characterized by higher condensation temperatures and pressures, demand significantly elevated operating pressures, resulting in a substantial energy load for efficient operation. Thus, exploring alternatives such as R134a becomes crucial, particularly considering its potential as a better working fluid for power generation in a Rankine cycle. The research methodology involves employing computational fluid dynamics (CFD) simulations alongside experimental investigations to examine the performance of an axial turbine concept under different working fluids. The results obtained indicate that R134a is the most appropriate working fluid for an axial turbine within a CTEC, outperforming ammonia, thereby implying significantly better operational efficiency.

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Section: Introductionmentioning

confidence: 99%

Choosing the Most Suitable Working Fluid for a CTEC

Achkienasi,

Silva,

Mendoza

et al. 2024

Energies

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“…Many other CFD contributions are made using various turbulence models where the commonly used turbulence models are the k- SST [23,[30][31][32][33], the realizable k- model [21,28], k- RNG [22], and k- model [24]. It can be noted there have been limited studies evaluating Reynold's stress models (RSM), such as the baseline model (BSL RSM), the omega based (-RSM), the Launder Reece Rodi model (LRR RSM) or the modified explicit algebraic k- model EARSM.…”

Section: Introductionmentioning

confidence: 99%

Comparison of CFD Predictions of Supercritical Carbon Dioxide Axial Flow Turbines Using a Number of Turbulence Models

Abdeldayem

White

Sayma

2021

Volume 10: Supercritical CO2

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A detailed loss assessment of an axial turbine stage operating with a supercritical carbon dioxide (sCO2) based mixture, namely titanium tetrachloride (CO2-TiCl4 85-15%), is presented. To assess aerodynamic losses, computational fluid dynamics (CFD) simulations are conducted using a geometry generated using mean-line design equations which is part of the work delivered to the SCARABEUS project [1]. The CFD simulations are 3D steady state and employ a number of turbulence models to investigate various aerodynamic loss mechanisms. Two categories of turbulence models are used: Eddy Viscosity and Reynold’s Stress models (RSM). The Eddy Viscosity models are the k-ε, k-ε RNG, k-ω, k-ω SST and k-ω Generalized while the RSM models are BSL, LRR, w-RSM and k-ε EARSM. The comparison between different turbulence models showed minor deviations in mass-flow rate, power output and blade loading while significant deviations appear in the loss coefficients and the degree of reaction. It is noted that the k-ε model gives the highest loss coefficients and the lowest isentropic efficiencies while most of the RSM models indicate higher efficiencies and lower loss coefficients. At off-design conditions a sensitivity study revealed that the k-ε RNG model records the sharpest drop in the isentropic efficiency of 8.24% at low mass flowrate reaching 30% off-design. The efficiency sensitivity is found to be less for the other tested models getting 3.1% drop in efficiency for the LRR RSM model.

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“…With the development of the finite element method and computational fluid dynamics technology (Bhagi et al, 2018;Prabhunandan and Byregowda, 2018;Shukla and Harsha, 2015;Brahimi and Ouibrahim, 2016;Hashemian et al, 2020;Jang et al, 2015;Francesco et al, 2017), iterative solutions of the pre-deformation design method based on numerical calculations have gradually been used in blade analysis and optimal design (Noori Rahim Abadi et al, 2017;Obert and Cinnella, 2017;Pascoa et al, 2009;Hou et al, 2019;Li et al, 2019;Jiang et al, 2019;Yi et al, 2020a, b). With these methods, the construction of a hot shape and the correction of a cold shape are alternately and repeatedly executed in the pre-deformation design process.…”

Section: Introductionmentioning

confidence: 99%

Scheme optimization for a turbine blade under multiple working conditions based on the entropy weight vague set

Zhou

Wang

et al. 2021

Mech. Sci.

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Abstract. The deformation of blades under complex loads of multiple working conditions will reduce the energy conversion efficiency. To reduce the deviation of the blade shape in practical working conditions, a combination and optimization method of blade design schemes under multiple working conditions, based on the entropy weight vague sets, is proposed. The sensitivity of each working condition index is analyzed based on the information entropy, and the satisfaction degree of the design scheme based on the design requirements and experiences is described with the vague set. The matching degree of different design schemes for multiple working conditions is quantified according to the scoring function. The combination and optimization of the design scheme are verified by numerical simulation analysis. The results show that the proposed design scheme has a smaller blade shape deviation than the traditional design scheme under multiple working conditions.

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Comparison of steady and unsteady RANS CFD simulation of a supersonic ORC turbine

Cited by 14 publications

References 4 publications

Choosing the Most Suitable Working Fluid for a CTEC

Choosing the Most Suitable Working Fluid for a CTEC

Comparison of CFD Predictions of Supercritical Carbon Dioxide Axial Flow Turbines Using a Number of Turbulence Models

Scheme optimization for a turbine blade under multiple working conditions based on the entropy weight vague set

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