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Performance Analysis of Brayton Cycle System for Space Power Reactor

机译:空间电力反应堆布雷顿循环系统的性能分析

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The closed Brayton cycle system now is the potential choice as the power conversion system for High Temperature Gas-cooled Reactors because of its high energy conversion efficiency and compact configuration. The helium is the best working fluid for the system for its chemical stability and small neutron absorption cross section. However, the Helium has small mole mass and big specific volume, which would lead to larger pipes and heat exchanger. What's more, the big compressor enthalpy rise of helium would also lead to an unacceptably large number of compressor's stage. For space use, it's more important to satisfy the limit of the system's volume and mass, instead of the requirement of the system's thermal capacity. So Noble-Gas binary mixture of helium and xenon is presented as the working fluid for space Brayton cycle. This paper makes a mathematical model for space Brayton cycle system by Fortran language, then analyzes the binary mixture of helium and xenon's properties and effects on power conversion units of the space power reactor, which would be helpful to understand and design the space power reactor. The results show that xenon would lead to a worse system's thermodynamic property, the cycle's efficiency and specific power decrease as xenon's mole fraction increasing. On the other hand, proper amount of xenon would decrease the enthalpy changes in turbomachines, which would be good for turbomachines' design. Another optimization method - the specific power optimization is also proposed to make a comparison.
机译:由于其高能量转换效率和紧凑的配置,闭合布雷顿循环系统现在是高温气体冷却反应器的电力转换系统的潜在选择。氦是该系统的最佳工作流体,用于其化学稳定性和小中子吸收横截面。然而,氦气具有小的摩尔质量和大量大容量,这将导致较大的管道​​和热交换器。更重要的是,氦的大压缩机焓升起也会导致一个不可接受的大量压缩机的舞台。对于空间使用,更重要的是满足系统的体积和质量的限制,而不是系统的热容量。因此,氦气和氙的高尚气体二元混合物作为空间Brayton循环的工作流体呈现。本文通过FORTRAN语言为空间布雷顿循环系统进行数学模型,然后分析了氦气和氙的性能的二元混合物和对空间电力电抗器电源转换单元的影响,这将有助于理解和设计空间电源电压。结果表明,氙气将导致系统的热力学性能较差,循环的效率和特定功率降低,因为氙气的摩尔分数增加。另一方面,适当数量的氙气将减少涡轮机中的焓变,这对涡轮机的设计有益。另一种优化方法 - 还提出了具体功率优化来进行比较。

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