Simulation studies on the performance of thermoacoustic prime movers and refrigerator

Skaria, Mathew; Rasheed, K. K. Abdul; Shafi, K. A.; Kasthurirengan, S.; Behera, Upendra

doi:10.1016/j.compfluid.2015.01.011

Cited by 25 publications

(9 citation statements)

References 31 publications

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“…10 (Rayleigh, 1896) (Merkli and Thomann, 1975) 1 ( , 2006) 1963 Gifford (Gifford and Longsworth, 1964) ( , 2000) 30 K (Mikulin et al, 1984, Zhu et al, 1990) ( , 1990) ( , 2002) (De Jong et al, 2013, El-Rahman et al, 2012, El-Rahman and Abdel-Rahman, 2013, Jaensch et al, 2017, , 2002, Skaria et al, 2015, Sun et al, 2016 (El-Rahman and Abdel-Rahman, 2014, Han et al, 2012, Holzinger et al, 2015 ωτ…”

Section: Hot Endmentioning

confidence: 99%

Numerical analysis of a standing-wave thermoacoustic refrigerator by one-dimensional simulation

Irie

Iwamoto

Kiyono

et al. 2019

Transactions of the JSME (In Japanese)

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In this paper, a numerical simulation for a standing-wave thermoacoustic refrigerator using the equations of conservation law are proposed. In this simulation, the gas flow in the thermoacoustic refrigerator is expressed by the quasi onedimensional model to reduce the computational load. Since the equations of conservation law are solved directly in the simulation in contrast to the conventional analysis applying the thermoacoustic theory, our simulation is excellent in adaptability and extensibility and can be used for developing actual machines. The equations of continuity, motion, energy and the state of the gas were solved utilizing a TVD scheme for the spatial difference and Heun's method for the time difference. The numerical simulations were performed on ten types of thermoacoustic refrigerators having regenerators of different thermophysical properties and hydraulic diameters, and the simulation results were compared with the corresponding experimental results. As for the results, a heat pump effect, or thermoacoustic refrigerating effect, was observed successfully by means of our simulation. The highest thermoacoustic refrigerating effect was obtained when a product ωτ of angular frequency of sound wave ω and thermal relaxation time τ was around 5, and the result agreed well with the previous research. Furthermore, the simulation results of thermoacoustic refrigerating effect for the different types of refrigerators were consistent with experimental results within an error of 10%. These results verify the validity of our proposed simulation method.

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Section: Hot Endmentioning

confidence: 99%

Numerical analysis of a standing-wave thermoacoustic refrigerator by one-dimensional simulation

Irie

Iwamoto

Kiyono

et al. 2019

Transactions of the JSME (In Japanese)

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show abstract

“…Secondly, to the authors' best knowledge, there are few reports on large eddy simulation (LES) of self-excited acoustic oscillations inside TAEs. Previous simulation work [23,24] normally adopted unsteady Reynolds-Averaged Navier-Stokes (URANS) models (e.g., standard k-ε) to capture the dynamics of complex flows in TAEs. URANS approach only solves the averaged quantities while the effect of all scales of instantaneous turbulent motion is modelled by a turbulence model.…”

Section: Introductionmentioning

confidence: 99%

Large eddy simulation of thermally induced oscillatory flow in a thermoacoustic engine

et al. 2020

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In this paper, a comprehensive high-fidelity three-dimensional computational fluid dynamic research using large eddy simulation has been conducted to investigate a standing-wave quarter-wavelength thermoacoustic engine that consists of a hot buffer, a stack and a resonator. The performance of the thermoacoustic engine has been analysed in four aspects. Firstly, the dynamic characteristics of the engine during the initial start-up process are investigated when changing the temperature gradient imposed on the stack. Numerical results are compared with those from a system-wide reduced-order network model based on linear thermoacoustic theory. Secondly, the acoustic behaviour of the engine operating at steady state is studied. Fourier Series Model is utilized to decompose the steady-state acoustic pressure oscillations which reveals the unstable longitudinal acoustic modes excited in the engine. The stack serves as an energy source for the fundamental mode while it extracts acoustic power from the second harmonic. Thirdly, the hydrodynamic performances of the engine are inspected, and the obtained three-dimensional flow fields inside the engine enable us to probe into rich nonlinear phenomena including minor losses, mass streaming, etc. Finally, the heat transfer characteristics have been analysed by examining the mean temperature field and transversal heat fluxes along the engine. This research demonstrates that the large eddy simulation framework is effective in simulating the thermally induced oscillatory flow inside thermoacoustic engines. The multi-perspective analytical methodologies are valuable in comprehending the engine performance and provide guidelines for the design and optimization of efficient thermoacoustic engines for recovering waste thermal energy from various sources.

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“…DeltaEC, the numerical tool developed by Los Alamos National Laboratory, is particularly useful to help users to design thermoacoustic apparatuses to achieve desired performance with a good level of accuracy for low-amplitude thermoacoustic systems [27] . Computational Fluid Dynamics is a potentially very useful tool to investigate thermoacoustic devices as demonstrated [28]- [29] .…”

Section: Introductionmentioning

confidence: 99%

Optimization of standing-wave thermoacoustic refrigerator stack using genetic algorithm

Peng

Feng

Mao

2018

International Journal of Refrigeration

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The main focus of this work is the optimization of a thermoacoustic plate stack in a standingwave thermoacoustic refrigerator using genetic algorithm. A numerical model of the thermoacoustic stack and its iterative solving process are firstly presented. A comparison to DeltaEC modelling shows that the presented method is effective in predicting the acoustic field and the energy flow. Based on the numerical model, the stack is optimized in terms of four and five variables for both single objective and multiple objectives. In the four-variable models, the length and position of the stack, the plate spacing and the stack porosity are investigated. In the five-variable model, the acoustic frequency is considered additionally. In the single-objective optimization, the objective function is either the cooling power or the coefficient of performance of the stack, and the multi-objective model has two objective  Corresponding author: Yehui Peng,

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Simulation studies on the performance of thermoacoustic prime movers and refrigerator

Cited by 25 publications

References 31 publications

Numerical analysis of a standing-wave thermoacoustic refrigerator by one-dimensional simulation

Numerical analysis of a standing-wave thermoacoustic refrigerator by one-dimensional simulation

Large eddy simulation of thermally induced oscillatory flow in a thermoacoustic engine

Optimization of standing-wave thermoacoustic refrigerator stack using genetic algorithm

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