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首页> 外文期刊>Energy Reports >6th International Conference on Energy and Environment Research, ICEER 2019, 22–25 July, University of Aveiro, Portugal Introducing Tesla turbine to enhance energy efficiency of refrigeration cycle
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6th International Conference on Energy and Environment Research, ICEER 2019, 22–25 July, University of Aveiro, Portugal Introducing Tesla turbine to enhance energy efficiency of refrigeration cycle

机译:第六次国际能源与环境研究会议,ICEER 2019年7月22日至25日,Aveiro大学,葡萄牙推出特斯拉涡轮机提高了制冷循环的能效

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In this study, a new application of a Tesla turbine (TT) is presented in which a TT is introduced as a promising solution to enhance the energy efficiency of refrigeration cycles. For this special purpose, a TT is represented as a regenerative system that minimizes the wasted energy without compromising the system output quality or sacrificing standards of design and move one step forward, towards more sustainable industries. To achieve this goal, a 3D thermohydrodynamic analysis of the Newtonian turbulent compressible flow of high-pressure methane through a Tesla turbine has been performed under different configurations and operational conditions. Methane was defined as a real gas through the Redlich–Kwong equation of state. The complex unstructured grid generation was employed to produce a low-skewness mesh for a CFD model on the commercial software of ANSYS Fluent for simulation of heat and mass transfer by FVM. As a result of the present study, practical design rules are proposed to support engineers defining optimized TTs for predetermined operating conditions, namely regarding power output, disc sizes and angular velocity.
机译:在该研究中,介绍了Tesla涡轮机(TT)的新应用,其中将TT作为有前途的解决方案,以提高制冷循环的能量效率。对于这种特殊目的,TT表示为再生系统,最大限度地减少浪费的能量,而不会影响系统输出质量或牺牲设计标准并向前进的一步,走向更可持续的行业。为实现这一目标,在不同的配置和操作条件下进行了通过特斯拉涡轮机进行高压甲烷的牛顿湍流可压缩流的3D热流动分析。甲烷被定义为通过redlich-kwong的状态的真实气体。使用复杂的非结构化网格生成来生产用于CFD模型的低偏斜网,用于SOSYS的商业软件,用于通过FVM模拟热量和质量传递。由于目前的研究,提出了实用的设计规则,以支持为预定操作条件定义优化的TTS的工程师,即关于电力输出,光盘尺寸和角速度。

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