A Porous Media Numerical Approach for the Simulation of Stirling Engine Regenerators

Faruoli, Maria; Viggiano, Annarita; Magi, Vinicio

doi:10.18280/ti-ijes.632-425

Cited by 5 publications

(7 citation statements)

References 13 publications

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“…One technique for deriving the appropriate constants involves the use of the Ergun equation [18], applicable over a wide range of Reynolds numbers and for many types of packing. This correlation has been validated in several works dealing with packed bed [19][20][21], but also by the authors in applications of regenerative chambers [5,6] and thermal storage CSP [22]. The coefficients C1 and C2 have been defined as follows, Eq.…”

Section: Direct Methodsmentioning

confidence: 80%

Strategies for the Numerical Modelling of Regenerative Pre-heating Systems for Recycled Glass Raw Material

Domenico¹,

Leutcha²,

Cravero³

2019

MMEP

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The rules on energy consumption and pollutant emissions impose increasingly restrictive limitations in today's industrial sectors. The glass production sector is one of the highest sources of energy consumption in Europe, but also in Italy. For this reason it is very important to develop strategies for consumption reduction in a glass production plant. A glass furnace is in fact conceived with systems to recover heat from the combustion gases through regenerative and recuperative systems in order to increase the efficiency of the plant. Several systems to reduce nitrogen oxides emissions have been also developed and designed. A further method to exploit the residual heat from the exhausted gases is to pre-heat the recycled glass raw material to be introduced into the furnace so as to require a smaller amount of energy for its melting. This paper shows various numerical strategies for the design of a pre-heating system for the recycled glass raw material through CFD techniques. In this regard, numerical models have been developed for systems with direct (hot gases come directly into contact with the raw material) and indirect heat exchange (the raw material is heated through the diffusion of heat from a tube bundle).

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Section: Direct Methodsmentioning

confidence: 80%

Strategies for the Numerical Modelling of Regenerative Pre-heating Systems for Recycled Glass Raw Material

Domenico¹,

Leutcha²,

Cravero³

2019

MMEP

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“…Liu [7] developed a transient numerical model from experimental procedure to predict the performance of a passive regenerator while Maria et al [8] simulated regenerator matrix as a porous block. This, though allowed for an approximation of the overall behavior of the system, came at the expense of detailed knowledge of the systems flow dynamics.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The improved heat transfer in a regenerator can be achieved using porous medium due to high surface area to volume ratio [11]. Maria et al [8], Kuldeep and Kesarwani [12] and Falk [13] analysed the heat transfer and fluid flow in regenerators by considering the fixed matrix bed as a porous medium.…”

Section: Figure 1 Stirling Cyclementioning

confidence: 99%

Numerical Investigation of Thermofluid Performance of a Regenerator Relative to the Matrix Geometry

Nwoye¹,

Otamiri²

2020

IJHT

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Regenerators are essential component of systems such as Stirling engines, gas turbines and even IC engines. Designing compact and high performance regenerative system however is quite difficult and has impeded the development of engines such as Stirling engine despite its multifuel capability and potential of reducing the dominance of fossil fuel as a primary energy source. Here the Flow dynamics through regenerators defined by channel matrix geometry and how they impact on convective heat transfer and pressure losses in the system were studied for 0.01

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“…Also, Faruoli et al. [11] investigated a numerical study to simulate a porous matrix to use it as a heat exchanger. In this study, the solid part of the numerical domain is considered the region with the highest porosity.…”

Section: Introductionmentioning

confidence: 99%

Thermal/fluid characteristics of the inline stacked plain‐weave screen as solar‐powered Stirling engine heat regenerators

Mortazavi

Beni

Islam

2022

IET Renewable Power Gen

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The present work demonstrates the results of a 3D numerical analysis of heat transfer and fluid flow through a fabricated aluminium wire filament, bonded mesh deployed as a regenerator surface in the Stirling engine. Here, two inline regenerator models with the same mass but different geometry were simulated by computational fluid dynamics (CFD) and finite element method (FEM). The results show that the temperature efficiency of both inline with non‐uniform and uniform wire diameters is almost equal. However, the non‐uniform diameter model is shorter and reaches the maximum thermal efficiency faster in reduced length <18$ < 18$. Also, it shows approximately 5% a greater mean thermal efficiency. In general, from this simulation, it can be seen that changes in the geometry of the heat regenerator can have a direct effect on thermal efficiency and pressure drop in the same mass. Therefore, using the inline stacked plain‐weave screen with a non‐uniform wire diameter regenerator in the powered Stirling engine is recommended due to space constraints. Small changes in the regenerator geometry lead to immense leaps in increasing a solar power plant's overall efficiency.

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A Porous Media Numerical Approach for the Simulation of Stirling Engine Regenerators

Cited by 5 publications

References 13 publications

Strategies for the Numerical Modelling of Regenerative Pre-heating Systems for Recycled Glass Raw Material

Strategies for the Numerical Modelling of Regenerative Pre-heating Systems for Recycled Glass Raw Material

Numerical Investigation of Thermofluid Performance of a Regenerator Relative to the Matrix Geometry

Thermal/fluid characteristics of the inline stacked plain‐weave screen as solar‐powered Stirling engine heat regenerators

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