New polytropic model to predict the performance of beta and gamma type Stirling engine

Li, Ruijie; Grosu, Lavinia; Li, Wei

doi:10.1016/j.energy.2017.04.001

Cited by 51 publications

(41 citation statements)

References 29 publications

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“…The model prediction of indicated power is reasonably accurate up to 2500 rpm. It can be seen that it is better than simple model prediction and very close to CAFS model where the error at higher speeds (3000‐3500 rpm) were widely reported in all previous models . However, comparing the prediction of heat input to the heater from the current model against experiment was exclusively carried out in this study and also found to be in a good agreement as depicted in Figure B.…”

Section: Model Validationsupporting

confidence: 63%

“…Babaelahi and Sayyaadi further modified the previous PSVL model to a new one called Comprehensive Polytropic Model of Stirling engine (CPMS) and the non‐ideal treatment of heater and cooler was considered. Li et al proposed another polytropic analysis called Polytropic Stirling Model with Losses (PSML) with all losses coupled in the model. There were several studies reported on beta‐type Stirling engines in literature with various drive mechanisms including rhombic‐driven, crank‐driven and lever‐driven engine .…”

Section: Introductionmentioning

confidence: 99%

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Thermodynamic analysis of rhombic‐driven and crank‐driven beta‐type Stirling engines

Alfarawi

2020

Int J Energy Res

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This work aims to compare beta-type Stirling engine performance [ground power unit]) driven by rhombic and crank mechanisms. A modified non-ideal adiabatic model accounting for different frictional and thermal losses was adopted in this study. After validating the current model with engine experimental data, different scenarios of operating conditions including heater temperature, cooler temperature, charge pressure and engine speed were investigated. The results revealed that rhombic drive mechanism generates 32% more power and provides 20% more efficiency than crank mechanism at normal operating conditions. However, at low hot end temperature (300 C) and high charge pressure (50 bar) crank drive mechanism tends to slightly generate power more than rhombic drive mechanism at lower engine speeds. At low hot end temperature (300 C) and charge pressure (10 bar) both mechanisms cannot deliver any positive power. Higher power loss is recognized in crank drive mechanism at higher speeds due to increased pumping and gas spring hysteresis losses. This study highlights a wide analysis opportunity for designers and researchers of GPU-3 Stirling engine for further optimization.

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Section: Model Validationsupporting

confidence: 63%

Section: Introductionmentioning

confidence: 99%

Thermodynamic analysis of rhombic‐driven and crank‐driven beta‐type Stirling engines

Alfarawi

2020

Int J Energy Res

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“…The total volume of the working gas in the engine is determined by the displacement of the piston and is not influenced by the position of the displacer [17]. Gases with an atomic mass lesser than that of air, have a higher specific heat and gas constant.…”

Section: Martini and Clarke Capability Factor Equationmentioning

confidence: 99%

Factors Influencing the Thermodynamic Efficiency of Stirling Engines

Ferral-Smith

Giannakakis

Wilson

et al. 2017

PAMR

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This meta-study examines the factors which contribute to Stirling engine efficiency. Working fluids should have high specific heat capacity, low viscosity and low density making noble gases the most suitable. Each different working fluid has its own optimum power output at varying pressures and temperatures. The best being Helium at 4.14 MPa and 922K. Dead volume also affects the power output of Stirling engines. Theoretical engines with zero dead volume are ideal but dead volume can occupy over 50% of the engine. Engine configuration also impacts on the efficiency of a Stirling engine. The layout of pistons and cylinders about each other can also have drastic effects on these efficiencies. Currently the most effective engine layout is the ‘gamma’ configuration, which measures 30%-32% efficient. Future research is required to produce a more efficient Stirling engines, based on the factors considered above to determine the viability of these engines as a replacement for coal and fossil fuel powered combustion engines.

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“…Also, the leakage through the gap between the piston and cylinder is important to the engine efficiency as well. Additionally, Li et al [44]…”

Section: -6 Research About Stirling Enginementioning

confidence: 99%

“…The temperature measurement points were exactly the same as the locations of the thermocouples in the test rig. The measured temperature of the CFD was converted to the Nusselt number by equation (44). Also, the RMS Reynolds number was calculated by using equation (35).…”

Section: -3 Heat Transfer Cfdmentioning

confidence: 99%

Experimental and Numerical Study of the Stirling Engine Robust Foil Regenerator

Yanaga¹

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Experimental and Numerical Study of the Stirling Engine Robust Foil Regenerator Koji Yanaga Conventional electricity generation wastes more than two thirds of its thermal energy while generating electricity. Combined Heat and Power (CHP) systems are an efficient energy conversion technology, which generate electricity and useful thermal energy simultaneously by utilizing waste energy for space heating and sanitation. One system that is suitable for CHP is the Stirling engine. Because of the simple design, flexible heat source (solar, biomass, waste heat), high thermal to electricity conversion efficiency, and high reliability, the Stirling engine is expected to be one of the best candidates for the applications in the future. It was the biggest challenge in my life to come to the US and earn a Ph.D. degree at West Virginia University. The challenge would not have been overcome without all the support I received from my adviser, thesis committee members, friends, girlfriend, and my family. In the following paragraphs, I would like to show my appreciation to all the people who supported me. Firstly, I would like to give my utmost appreciation, and thanks to my academic advisor Dr. Songgang Qiu for all the support he gave me throughout my time at WVU. Without his advice and financial supports through my Ph.D. process, I would definitely not have earned my Ph.D. degree.

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New polytropic model to predict the performance of beta and gamma type Stirling engine

Cited by 51 publications

References 29 publications

Thermodynamic analysis of rhombic‐driven and crank‐driven beta‐type Stirling engines

Thermodynamic analysis of rhombic‐driven and crank‐driven beta‐type Stirling engines

Factors Influencing the Thermodynamic Efficiency of Stirling Engines

Experimental and Numerical Study of the Stirling Engine Robust Foil Regenerator

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