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Numerical modelling and design optimisation of stirling engines for power production

机译:电力生产用斯特林发动机的数值模拟与设计优化

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摘要

This research is in the area of Thermal Energy Conversion, more specifically, in the conversion of solar thermal energy. This form of renewable energy can be utilised for production of power by using thermo-mechanical conversion systems – Stirling engines. The advantage of such the systems is in their capability to work on low and high temperature differences which is created by the concentrated solar radiation. To design and build efficient, high performance engines in a feasible period of time it is necessary to develop advanced mathematical models based on thermodynamic analysis which accurately describe heat and mass transfer processes taking place inside machines. The aim of this work was to develop such models, evaluate their accuracy by calibrating them against published and available experimental data and against more advanced three-dimensional Computational Fluid Dynamics models. The refined mathematical models then were coupled to Genetic Algorithm optimisation codes to find a rational set of engine’s design parameters which would ensure the high performance of machines. The validation of the developed Stirling engine models demonstrated that there was a good agreement between numerical results and published experimental data. The new set of design parameters of the engine obtained from the optimisation procedure provides further enhancement of the engine performance. The mathematical modelling and design approaches developed in this study with the use of optimization procedures can be successfully applied in practice for creation of more efficient and advanced Stirling engines for power production.
机译:这项研究涉及热能转换领域,更具体地说,涉及太阳能热能转换领域。这种形式的可再生能源可以通过使用热机械转换系统斯特林发动机来发电。这种系统的优势在于它们能够处理由集中的太阳辐射产生的低温和高温差异。为了在可行的时间内设计和制造高效,高性能的发动机,有必要基于热力学分析开发先进的数学模型,该模型可以准确描述机器内部发生的传热和传质过程。这项工作的目的是开发这样的模型,通过针对已发布和可用的实验数据以及更高级的三维计算流体动力学模型进行校准来评估其准确性。然后,将经过精炼的数学模型与遗传算法优化代码结合起来,以找到合理的发动机设计参数集,以确保机器的高性能。对已开发的斯特林发动机模型的验证表明,数值结果与已发布的实验数据之间有很好的一致性。从优化过程中获得的一组新的发动机设计参数可进一步增强发动机性能。本研究中使用优化程序开发的数学建模和设计方法可以在实践中成功应用,以创建更高效​​,更先进的斯特林发动机用于发电。

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