2 edition of **Prediction of regenerator thermal performance using a non-iterative method of computation.** found in the catalog.

Prediction of regenerator thermal performance using a non-iterative method of computation.

Ronald Evans

- 159 Want to read
- 30 Currently reading

Published
**1984**
.

Written in English

**Edition Notes**

Contributions | Polytechnic of Wales. |

ID Numbers | |
---|---|

Open Library | OL16798686M |

A regenerative heat exchanger, or more commonly a regenerator, is a type of heat exchanger where heat from the hot fluid is intermittently stored in a thermal storage medium before it is transferred to the cold fluid. To accomplish this the hot fluid is brought into contact with the heat storage medium, then the fluid is displaced with the cold fluid, which absorbs the heat. It is stated in gFor Better Thermal Analysis and Calorimetryh, 3rd Edition, published in by ICTAC (International Confederation for Thermal Analysis and Calorimetry). This defines Thermal Analysis includes all the methods of measuring the sample properties while the sample temperature is program-controlled. Figure 1.

In this paper, a new set of experimental data, α V K T V, representing the partial temperature derivative of the work done by the thermal pressure of the solid, is fitted by n terms of a modified Einstein model. Experimental data show that α V K T V, not α V K T, approaches a constant value at high on the observed linear relationship of isothermal bulk modulus with Cited by: numerically using the maximum power (MP) and maximum power density (MPD) method [15]. The Regenerative Cycle. The regenerative cycle is becoming prominent in these days of tight fuel reserves and high fuel costs. The amount of fuel needed can be reduced by the use of a regenerator in which the hot turbine exhaust.

Equations are required to determine the volumes from the geometric variables for the heat exchangers. Equations 4–9 are the equations for the volume V and area A of the cooler, heater and regenerator, respectively.. Equations 4 and 5 define the volume V k and surface area A k in the cooler. These equations use the number of cooler tubes N k, cooler length L k and cooler tube diameter D : James A. Wills, Tunde Bello-Ochende. This paper focuses on the influence of regenerator on the performance of a single‐stage looped thermoacoustic engine. Numerical simulation has firstly been carried out to investigate how the regenerator efficiency, generated acoustic power, and acoustic field in the regenerator are affected by the cross‐sectional area, regenerator length, and mesh by: 3.

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Background information

Background information

Prediction of Regenerator Thermal Performance Using a Non-iterative Method of Computation This research study has undertaken the further development of a non-iterative method for predicting the fluid temperature variations in a counterflow regenerator operating at cyclic equilibrium.

The method. Applied Energy 26 () Thermal Performances of Counter-flow Regenerators: A Non-iterative Method of Prediction R. Evans Department of Mathematics and Computer Science, The Polytechnic of Wales, Pontypridd, Mid Glamorgan CF37 1DL (Great Britain) and S.

Probert School of Mechanical Engineering, Cranfield Institute of Technology, Cranfield, Bedford MK43 0AL (Great Britain) SUMMAR Author: R. Evans, S.D. Probert. Prediction of regenerator thermal performance using a non-iterative method of computation.

Author: Evans, R. Awarding Body: Polytechnic of Wales Current Institution: University of South Wales Date of Award: Availability of Full Text.

Prediction of regenerator thermal performance using a non-iterative method of computation. By R Evans, Pontypridd (United Kingdom) Polytechnic of Wales and London (United Kingdom) Council for National Academic Awards. Abstract. Prediction of regenerator thermal performance using a non-iterative method of computation Author: Evans, R., Sep Student thesis: Doctoral Thesis.

Preference modelling approaches based on cumulative functions using simulation with applications Author: Fatah, K. S., The prediction of heat and mass regenerator performance by analogy from that of a similar regenerator transferring heat alone is studied in view of the dependence of matrix sorption properties on state.

Air-conditioning regenerators with convective transfer controlling are by: The aim of this paper is to perform the experiment and the numerical simulation for investigating the heat transfer in a regenerator system with ceramic honeycomb and to suggest a useful correlation for optimization of the regenerator system.

For achieving this, the effects of some parameters were investigated, e. g., switching time, cell size and length of honeycomb on the mean temperature Cited by: A, "Practical and Theoretical Inves tigation of Thermal Regenerator Operation, Ph.D.

Thesis, University of Leeds(). Effectiveness Charts for the Operation of Counter Current Rege nerators. Table 1 Regenerator details Heating surface area, A Mass of chequerwork, M Wall thickness of chequerwork, d Chequer work material Thermal conductivity, \ Specific heat, C Operating conditions Flow rate of gas, W Gas specific heat, S Gas entrance temperature ft2 Ib ft Btu/fthdegF Btu/lbdegF Heating period 0 Cited by: must be matched by periods which yield small enough values of Π and Π' so that as good a thermal performance of the regenerator as possible can be obtained.

This can be considered in another manner: economies in regenerator size can be obtained if thin packings are used where the area to mass ratio, A/M for the hot period, A'/M' for the cold. Thermal Performance Analysis of a Honeycomb Regenerator Siddhartha Kumar Singh, Department of Mechanical Engineering University of Agriculture and Technology, Pantnagar, India Abstract-Thermal regenerators areheat exchangers in which heat is absorbed and released using high heat capacity materials.

In fixed. One of the efficient methods of regenerating the weak absorbent solution using solar energy is the forced flow regeneration system. This paper describes a forced flow solar regenerator in which the absorbent solution to be concentrated flows as a thin film over the absorber and the water evaporating from the solution due to absorption of solar energy is removed by forced air stream, which flow Cited by: 4.

Thermal models for analysis of performance of Stirling engine: A review Article in Renewable and Sustainable Energy Reviews February with 1, Reads How we measure 'reads'. Thermal Analysis: methods, principles, applicaon Andrey Tarasov Lecture on Thermal analysis Andrey Tarasov, Thermal analysis, Lecture series heterogeneous catalysis, FHI.

Regenerator Length Capacity Ratio Thermal Regenerator Helium Flow Rate Cryogenic Engineer These keywords were added by machine and not by the authors.

This process is experimental and the keywords may be updated as the learning algorithm by: The regenerator is a vital element in these closed-cycle cryocoolers, but the overall performance depends strongly on the effectiveness of the regenerator.

This paper presents a one-dimensional numerical analysis for the idealized thermal equations of the matrix and the working gas inside the regenerator.

Direct Method is presented. allows a detailed analysis of thermal and mechanical It irreversibilities of Stirling engine cycle.

The new concept of isometric irreversible process occurring in the regenerator of Stirling Machines is introducedThrottling. and friction pressure losses The computation methodology was are modelled. Various factors affect the interfacial thermal resistance (ITR) between two materials, making ITR prediction a high-dimensional mathematical problem.

Machine learning is a cost-effective method to Cited by: 7. strategic to estimate the overall performance of glass furnaces. Sardeshpande [7] presents a regenerator blockage prediction model and the effect of leakage on the performance of fixed matrix regenerator was studied by Skiepko and Shah [8]; regenerator performance evaluation using numerical techniquesAuthor: Carlo Cravero, Davide Marsano.

/ot ot Other Titles in Applied Mathematics Society for Industrial and Applied Mathematics OT43 / Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods Richard Barrett, Michael Berry, Tony F.

Chan, James Demmel, June Donato, Jack Dongarra, Victor. Thermal Analysis of Open-Cycle Regenerator Gas-Turbine Power-Plant M.

M. Rahman, Thamir K. Ibrahim, M. Y. Taib, M. M. Noor and Rosli A. Bakar that the use of a regenerator is recommended only when the turbine efficiency on the performance of the regenerative gas turbine cycle and comparison with simple cycle [3].However, by using the packed bed regenerator with thermal effectiveness %, the air temperature can be preheated up to °C.

This corresponds to 14% COG energy saving. In contrast, an % thermal effectiveness, the air temperature can be preheated up to Cited by: 1.Predicting performance of regenerative heat exchanger Christian Falk Dept.

of Energy Sciences, Faculty of Engineering, Lund University, BoxLund, Sweden ABSTRACT One way to improve the efficiency of a power plant is to preheat the air intake with heat from the exhaust gas.

When the.