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Transient behaviour and optimal start-up procedure of closed Brayton cycle with high thermal inertia
Applied Thermal Engineering ( IF 6.4 ) Pub Date : 2021-09-20 , DOI: 10.1016/j.applthermaleng.2021.117587
Haiqing Liu 1 , Zhongran Chi 1 , Shusheng Zang 1
Affiliation  

The closed Brayton cycle is promising as a power generation system owing to its output flexibility and compactness. In this study, a small closed Brayton cycle device was developed and its transient characteristics were studied experimentally and numerically. The start-up procedure for a closed Brayton cycle with considerable thermal inertia and heat dissipation was investigated. First, a modelling method based on both test data and an optimisation algorithm was developed to improve the accuracy of the dynamic simulation of the closed Brayton cycle. The optimal values of model parameters describing the thermal inertia and heat dissipation of the components were obtained by matching a group of dynamic test data using a genetic algorithm. The precision of the model was validated against additional experimental data. Then, the Pareto front of the start-up procedure, which was characterised by the time parameters concerning acceleration and injection, pressure coefficient, androtor speed, was acquired using a double-objective genetic algorithm with the goal of obtaining the smallest values for the start-up time and start-up power. Further studies showed that adjusting the sequence of acceleration and injection could help overcoming the thermal inertia of the regenerator, which was critical for fast and stable full-load operation. Firstly, selecting the appropriate initial pressure coefficient, then accelerating and then injecting was a favourable start-up procedure.



中文翻译:

高热惯性闭式布雷顿循环瞬态行为及优化启动程序

由于其输出灵活性和紧凑性,闭合布雷顿循环作为发电系统很有前景。在这项研究中,开发了一个小型封闭布雷顿循环装置,并通过实验和数值研究了其瞬态特性。研究了具有相当大热惯性和散热的闭合布雷顿循环的启动程序。首先,开发了一种基于测试数据和优化算法的建模方法,以提高闭合布雷顿循环动态模拟的准确性。通过遗传算法匹配一组动态测试数据,得到描述部件热惯性和散热的模型参数的最优值。该模型的精度已根据额外的实验数据进行了验证。然后,启动程序的帕累托前沿,其特征是关于加速度和喷射的时间参数、压力系数和转子速度,是使用双目标遗传算法获得的,目的是获得启动的最小值时间和启动功率。进一步的研究表明,调整加速和喷射的顺序可以帮助克服再生器的热惯性,这对于快速稳定的满载运行至关重要。首先选择合适的初始压力系数,然后加速然后注入是一个有利的启动程序。使用双目标遗传算法获得,目标是获得启动时间和启动功率的最小值。进一步的研究表明,调整加速和喷射的顺序可以帮助克服再生器的热惯性,这对于快速稳定的满载运行至关重要。首先选择合适的初始压力系数,然后加速然后注入是一个有利的启动程序。使用双目标遗传算法获得,目标是获得启动时间和启动功率的最小值。进一步的研究表明,调整加速和喷射的顺序可以帮助克服再生器的热惯性,这对于快速稳定的满载运行至关重要。首先选择合适的初始压力系数,然后加速然后注入是一个有利的启动程序。

更新日期:2021-09-29
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