A numerical analysis on the performance of a pressurized twin power piston gamma-type Stirling engine

Chen, Wen Lih; Wong, King Leung; Li, Po

doi:10.1016/j.enconman.2012.02.035

Cited by 27 publications

(8 citation statements)

References 14 publications

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“…Chen et al [39] built a prototype helium-charged twin power piston gamma-type Stirling engine, as shown in Figure 5. Annular gas between the displacer and its cylinder was first adopted as the regenerative channel for the prototype engine.…”

Section: Moderate Temperature Kinetic Stirling Enginementioning

confidence: 99%

Stirling cycle engines for recovering low and moderate temperature heat: A review

Wang

Sanders

Dubey

et al. 2016

Renewable and Sustainable Energy Reviews

172

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A review is presented for the research development of Stirling cycle engines for recovering low and moderate temperature heat. The Stirling cycle engines are categorized into four types, including kinetic, thermoacoustic, free-piston, and liquid piston types. The working characteristics, features, technological details, and performances of the related Stirling cycle engines are summarized. Upon comparing the available experimental results and the technology potentials, the research directions and the possible applications of different Stirling cycle engines are further discussed and identified. It is concluded that kinetic Stirling engines and thermoacoustic engines have the greatest application prospect in low and moderate temperature heat recoveries in terms of output power scale, conversion efficiency, and costs. In particular, kinetic Stirling engines should be oriented toward two directions for practical applications, including providing low-cost solutions for low temperatures, and moderate efficient solutions with moderate costs for medium temperatures. Thermoacoustic engines for low temperature applications are especially attractive due to their low costs, high efficiencies, superior reliabilities, and simplicities over the other mechanical Stirling engines. This work indicates that a cost effective Stirling cycle engine is practical for recovering small-scale distributed low-grade thermal energy from various sources.

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Section: Moderate Temperature Kinetic Stirling Enginementioning

confidence: 99%

Stirling cycle engines for recovering low and moderate temperature heat: A review

Wang

Sanders

Dubey

et al. 2016

Renewable and Sustainable Energy Reviews

172

View full text Add to dashboard Cite

show abstract

“…Bert's models only divided it into three regions [38,39]. In the studies of Cheng and Yu [40], Aksoy et al [41,42] and Chen et al [43], the models were developed for Stirling engines without any regenerator. Cheng et al also studied the thermodynamic and dynamic behaviors of a thermal-lag Stirling engine that had only one piston based on a similar model [44,45].…”

Section: Introductionmentioning

confidence: 99%

A transient one-dimensional numerical model for kinetic Stirling engine

et al. 2016

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A third-order numerical model based on one-dimensional computational fluid dynamics is developed for kinetic Stirling engines. Various loss mechanisms in Stirling engines, including gas spring hysteresis loss, shuttle loss, appendix displacer gap loss, gas leakage loss, finite speed loss, piston friction loss, pressure drop loss, heat conduction loss, mechanical loss and imperfect heat transfer, are considered and embedded into the basic control equations. The non-equilibrium thermal model is adopted for the regenerator to capture the oscillating features of the gas and solid temperatures. To improve the numerical stability and accuracy, the implicit second-order time difference scheme and the second-order upwind scheme are adopted for discretizing the time differential terms and convective terms, respectively. Experimental validations are then conducted on a beta-type Stirling engine with the extensive experimental data for diverse working conditions. The results show that the developed model has better accuracies over previous second-order models. Good agreements are achieved for predicting various critical system parameters, including pressure-volume diagram, indicated power, brake power, indicated efficiency, brake efficiency and mechanical efficiency. In particular, both the experiments and simulations show that the Stirling engine charged with helium tends to have much lower optimal working frequencies and poorer performances compared to the hydrogen system. Based on the analyses of the losses, it reveals that the pressure drop in the flow channels plays a critical role in shaping the different behaviors. The pressure drop in the helium system is much larger and more sensitive to the frequency increase due to the much larger viscosity of gaseous helium. Hydrogen is a superior working gas for a Stirling engine. The transient characteristics of the oscillating flow and the associated thermal interactions between gas and solid in the regenerator are finally analyzed in order to have an insight of the complex thermodynamic process. The study provides a promising numerical approach in simulating Stirling engines for further understandings of their operating characteristics and the underling mechanisms.

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“…Cheng and Yu [8] investigated numerically a beta-type Stirling engine to identify the effects of various parameters, including non-isothermal effects and the performance of the regenerative channel. Chen et al [9] developed a numerical approach for assessing a c-type Stirling engine so as to permit prediction of various geometrical and process characteristics, and showed that regeneration effectiveness influences efficiency and engine speed influences engine power the most. Formosa and Despesse [10] developed a model to investigate heat exchanger efficiency and regenerator flaws for a Stirling engine, and examined the effects of regeneration on thermal efficiency and output power.…”

Section: Introductionmentioning

confidence: 99%

Using GMDH Neural Networks to Model the Power and Torque of a Stirling Engine

Ahmadi

Mehrpooya

et al. 2015

Sustainability

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Different variables affect the performance of the Stirling engine and are considered in optimization and designing activities. Among these factors, torque and power have the greatest effect on the robustness of the Stirling engine, so they need to be determined with low uncertainty and high precision. In this article, the distribution of torque and power are determined using experimental data. Specifically, a novel polynomial approach is proposed to specify torque and power, on the basis of previous experimental work. This research addresses the question of whether GMDH (group method of data handling)-type neural networks can be utilized to predict the torque and power based on determined parameters.

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A numerical analysis on the performance of a pressurized twin power piston gamma-type Stirling engine

Cited by 27 publications

References 14 publications

Stirling cycle engines for recovering low and moderate temperature heat: A review

Stirling cycle engines for recovering low and moderate temperature heat: A review

A transient one-dimensional numerical model for kinetic Stirling engine

Using GMDH Neural Networks to Model the Power and Torque of a Stirling Engine

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