回热式闭式空间核能布雷顿循环系统性能分析及优化

Performance analysis and optimization of a closed regenerative Brayton cycle for nuclear space power system

中文关键词: 空间布雷顿循环  性能分析  遗传算法  两目标优化

英文关键词: Brayton cycle for nuclear space power system, performance analysis, genetic algorithm, dual-objective optimization

中文摘要:

      随着深空探测的不断发展，作为最具发展潜力的能源之一，空间核动力在国内外得到大量关注和研究。空间核动力系统中热电转换技术至关重要，在大功率阶段下，布雷顿循环动态热电转换系统因其功率较大，效率较高等优点得到广泛应用和发展，对其进行特性分析和参数优化具有重要意义。对运用闭式布雷顿循环的次临界安全空间 (S4) 反应堆系统建立回热式布雷顿循环理论模型，分析其特性，并研究了回热度、工质变外部条件对循环效率等参数的影响；在此基础上，运用遗传算法对系统进行双目标优化，为布雷顿循环优化提供理论基础。

英文摘要:

      With the continuous development of deep space exploration, as one of the most promising power source, space nuclear power systems have attracted wide attention from scholars at home and abroad. In high-level stage, Brayton cycle dynamic energy conversion system, a vital component in space nuclear power system, has been widely applied and developed due to its high power and high efficiency. The thermodynamics model is established based on the Submersion-Subcritical Safe Space Reactor (S4) which uses closed Bray-ton cycle, the effects of varying heat recover ratio, different working substances and variable external con-ditions are investigated respectively. Dual-objective optimization is performed using genetic algorithm which provide theoretical basis for Brayton cycle optimization.