有机朗肯循环工质筛选及参数优化

Screening and parameters optimization of organic Rankine cycle working medium

通过液化天然气的冷能和工业余热回收,有效提高发电系统的效率。首先,建立膨胀机、冷凝器、水泵、锅炉的有机朗肯循环数学模型;其次,基于模拟的优化框架,利用液化天然气冷能对有机朗肯循环进行工质的筛选及参数优化;最后,采用Matlab对模型进行仿真,结果表明通过工质的选择、参数的优化,得到了各点处最优的工作状态参数,使ORC系统达到较高的净输出功率。

Through Liquefied Natural Gas(LNG) cold energy and industrial waste heat recovery, the efficiency of the power generation system can be effectively improved. Firstly, this paper establishes the mathematical model of organic Rankine cycle of the expander, condenser, water pump and boiler. Secondly, an optimization framework based on simulation is proposed to screen the working medium and optimize the parameters of organic Rankine cycle(ORC) by using LNG cold energy. Finally, the model is solved by Matlab. The results show that the selection of R22 working medium and the optimization of parameters have a far-reaching impact on improving the performance of the system and increasing the maximum output power.