ORC余热利用过程优化控制

发布时间：2018-01-17 23:16

本文关键词：ORC余热利用过程优化控制　出处：《华北电力大学》2015年硕士论文　论文类型：学位论文

【摘要】：低温资源普遍存在于各种工业过程中,对它的深度利用对提高能源利用率有着重要意义。有机朗肯循环(Organic Rankine Cycle, ORC)系统是建立在工程热力学的基础之上,以不同的低沸点有机物(或者混合物)代替水作为工质,回收中低品位热能的循环系统。ORC余热利用系统既能实现能源回收利用,又有利于环境保护,当前这一研究方向受到人们极大的关注。本文针对ORC余热利用过程优化控制展开深入研究和分析。详细介绍了余热发电系统的一种非线性模型。在某一工况点对系统模型进行线性化并做降阶处理,最终得到便于后续系统控制设计的低阶状态空间模型。考虑到余热发电过程中存在余热源品质波动,设定值恒定的常规过程控制方法不能很好的保证系统对余热的深度利用,本文提出基于监督预测控制的余热利用过程优化控制。在MATLAB环境下进行了仿真实验,通过仿真说明这种算法能够根据余热源品质的变化而实时调整并跟踪设定值。同时仿真结果也表明,相比普通PI控制,监督预测控制能进一步提高余热利用过程的经济性。
[Abstract]:Low temperature resources are widely used in various industrial processes, and its deep utilization is of great significance to improve energy efficiency. Organic Rankine cycle Organic Rankine Cycle. The ORC system is based on engineering thermodynamics and uses different low boiling point organic compounds (or mixtures) instead of water as working fluids. The recycling system of middle and low grade heat energy. ORC waste heat utilization system can not only realize energy recovery and utilization, but also benefit the environmental protection. At present, people pay much attention to this research direction. In this paper, the optimization control of ORC waste heat utilization process is deeply studied and analyzed. A nonlinear model of waste heat generation system is introduced in detail. The system model is linearized and reduced. Finally, a low-order state space model is obtained to facilitate the design of subsequent system control. Considering the existence of residual heat source quality fluctuation in the process of waste heat generation. The conventional process control method with constant set value can not guarantee the deep utilization of the residual heat in the system. In this paper, the optimal control of waste heat utilization process based on supervisory predictive control is proposed. Simulation experiments are carried out under MATLAB environment. The simulation results show that the algorithm can adjust and track the set value in real time according to the change of residual heat source quality. The simulation results also show that compared with the ordinary Pi control. Supervisory predictive control can further improve the economy of waste heat utilization process.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TK115

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