Review of Computational Stirling Analysis Methods

Dyson, Rodger W.; Wilson, Scott D.; Tew, Roy C.

doi:10.2514/6.2004-5582

Cited by 48 publications

(27 citation statements)

References 40 publications

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“…The simulation studies varied in complexity from simulation based on first order [6]; second order analysis as reported by Cheng [7], Mehdizadeh [8], Parlak [9], Strauss [10] and Tlili [11]; and computer fluid dynamics (CFD) analysis that include the works of Mahkamov [12], Ibrahim [13], and Wilson [14]. Among these methods, first order methods are simple and limited to estimate the power output and engine efficiency under ideal assumptions.…”

Section: Introductionmentioning

confidence: 99%

Development and validation of a thermodynamic model for the performance analysis of a gamma Stirling engine prototype

Araoz

Cardozo

Salomón

et al. 2015

Applied Thermal Engineering

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h i g h l i g h t sA numerical model for a Stirling engine was developed. A mechanical efficiency analysis was included in the model. The model was validated with experimental data of a novel prototype. The model results permit a deeper insight into the engine operation. a b s t r a c tThis work presents the development and validation of a numerical model that represents the performance of a gamma Stirling engine prototype. The model follows a modular approach considering ideal adiabatic working spaces; limited internal and external heat transfer through the heat exchangers; and mechanical and thermal losses during the cycle. In addition, it includes the calculation of the mechanical efficiency taking into account the crank mechanism effectiveness and the forced work during the cycle. Consequently, the model aims to predict the work that can be effectively taken from the shaft. The model was compared with experimental data obtained in an experimental rig built for the engine prototype. The results showed an acceptable degree of accuracy when comparing with the experimental data, with errors ranging from ±1% to ±8% for the temperature in the heater side, less than ±1% error for the cooler temperatures, and ±1 to ±8% for the brake power calculations. Therefore, the model was probed adequate for study of the prototype performance. In addition, the results of the simulation reflected the limited performance obtained during the prototype experiments, and a first analysis of the results attributed this to the forced work during the cycle. The implemented model is the basis for a subsequent parametric analysis that will complement the results presented.

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Section: Introductionmentioning

confidence: 99%

Development and validation of a thermodynamic model for the performance analysis of a gamma Stirling engine prototype

Araoz

Cardozo

Salomón

et al. 2015

Applied Thermal Engineering

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“…The three-order node method model [8], [9] is used to analyze the thermodynamic cycle of the Stirling engine. Detailed calculation procedure is shown in the literature [10].…”

Section: Stirling Engine Systemmentioning

confidence: 99%

Calculation and Performance Analysis of a Solar/Gas Receiver for a Stirling Power Generation System in Gas-Only Mode

Zhou¹,

Yin²,

Yang³

2018

dtetr

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Abstract. A thermal model for solar/gas Stirling power generation system was developed to achieve characteristics of the system in thermal balance. The thermal model was developed by building math models for a heat receiver, an air/gas heat exchanger, a Stirling engine and so on and coupling them. The effects of biogas flow rate, air flow rate, and CH4 concentration of biogas on the heat transfer characteristics of the solar/gas heat receiver (SGHR) was analyzed selectively in this paper. The calculation result shows that, with biogas mass flow rate increasing by 25%, the heat transfer power of the SGHR increases by 19.97% and the heat transfer efficiency of the SGHR decreases by 4.44%. With air mass flow rate increasing by 30%, the heat transfer power and efficiency of the SGHR both decreases by 13.84%. With CH4 concentration of biogas increasing by 18.18%, the heat transfer power of the SGHR increases by 27.14% and the heat transfer efficiency of the SGHR decreases by 2.96%.

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“…19,20,21,22,23,24,25 A review of the progress in Stirling analysis shows a steady relaxation of assumptions/limitations imposed on the analysis over the past century. 26 Initial two-dimensional computational fluid dynamic (CFD) simulation work began over twenty years ago and focused on specific regions of the engine but were not time-efficient and the projects were put on hold. 6,27,28,29,30 And other researchers attempted to build specific in-house research codes with mixed success at modeling specific components.…”

Section: Nomenclaturementioning

confidence: 99%