Volume ratio optimization of Stirling engine by using an enhanced model

Ding, Guozhong; Chen, Wen-Ming; Zheng, Tianyi; Li, Yongzhen; Ji, Yakun

doi:10.1016/j.applthermaleng.2018.04.067

Cited by 14 publications

(2 citation statements)

References 22 publications

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“…With the advancement of technology, people have begun to consider non-ideal factors to improve and study these models. Ding [5] et al considered the heat transfer loss and pressure loss of heat exchangers in an adiabatic model.…”

Section: Introductionmentioning

confidence: 99%

Simulation on stirling reverse osmosis desalination power system

Yang,

Li,

2024

J. Phys.: Conf. Ser.

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In this article, a new power system based on the Stirling engine and hydraulic free piston engine is proposed to provide power for reverse osmosis (RO) desalination. First, the design of the Stirling free piston RO desalination power system was carried out, and the size parameters of the main structures such as the regenerator, heater, cooler, power piston, and valve distribution piston were obtained. A physical model was established to simulate the process of the Stirling engine driving the RO desalination power system based on finite element CFD. The flow field distribution cloud map and output power of the Stirling engine were analyzed. The results indicate that the gas motion of the Stirling engine is stable, and the entire power system can operate normally.

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Section: Introductionmentioning

confidence: 99%

Simulation on stirling reverse osmosis desalination power system

Yang,

Li,

2024

J. Phys.: Conf. Ser.

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“…Several works of research can be found in the literature where the design or operative parameters of a Stirling engine are optimized. In [26], an enhanced model of an SE is used to optimize its volume ratio through GA to maximize the thermal efficiency.…”

Section: Introductionmentioning

confidence: 99%

Control strategy optimization of a Stirling based residential hybrid system through multi-objective optimization

Bengoetxea

Fernández

Pérez-Iribarren

et al. 2020

Energy Conversion and Management

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A comprehensive review on modeling and performance optimization of Stirling engine

et al. 2020

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Summary Modeling with optimization has become a ubiquitous practice in the field of Stirling engine. A plethora of studies in the literature is dedicated in developing a feasible optimized model that can precisely predict the performance of Stirling engine. Hence, the purpose of this article is to compile and expansively review the thermodynamic models and optimization efforts made in pursuit of performance enhancement of the Stirling engine. An extensive range of models available in the literature is painstakingly discussed. Likewise, a wide variety of available optimization techniques spanning from conventional experimental and univariate methods to more complex multiobjective optimization approach are critically reviewed. A comparative analysis of the models is carried out based on the accuracy of their predictability of the performance of Stirling engines. Results obtained from the models are validated through the experimental data of the GPU‐3 Stirling engine prototype. Several optimization techniques are investigated based on the effective and efficient optimization of operating and geometric parameters of the Stirling engine. The review concluded that the Comprehensive Polytropic Model of Stirling engine (CPMS) demonstrated better accuracy in comparison with other models. In addition, the multiobjective particle swarm optimization (MOPSO) technique was found to be effective and computationally efficient.

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Volume ratio optimization of Stirling engine by using an enhanced model

Cited by 14 publications

References 22 publications

Simulation on stirling reverse osmosis desalination power system

Simulation on stirling reverse osmosis desalination power system

Control strategy optimization of a Stirling based residential hybrid system through multi-objective optimization

A comprehensive review on modeling and performance optimization of Stirling engine

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