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11:10
20 mins
The study of dynamic process of ORC variable conditions based on control characteristics analysis
Yunli Jin, Naiping Gao, Tong Zhu
Session: Session 1B: Dynamic Simulation
Session starts: Wednesday 13 September, 10:30
Presentation starts: 11:10
Room: Building 27 - Lecture room 02


Yunli Jin (School of Mechanical Engineering, Tongji University, Shanghai, China)
Naiping Gao (School of Mechanical Engineering, Tongji University, Shanghai, China)
Tong Zhu (School of Mechanical Engineering, Tongji University, Shanghai, China)


Abstract:
The effect of the characteristics of the ORC components including equipment and parameters on system performance has been explored deeply in previous studies. The fluctuation of heat source and load demand in practical application, leads to the change of ORC operation environment. Operation condition variation of ORC system responding to this change should be done, which realized by certain control strategy. The way that control strategies impose influence on ORC system has not been investigated. The purpose of this paper is to study the impact of control strategy on ORC performance. The control characteristic analysis is introduced which means the dynamic characteristic of ORC system under certain control mode. Four different control strategies based on different regulated variables, control variables, control algorithm and operation mode are proposed and compared. The dynamic process model is built and simulated. The results show that the selection of regulated variables, control variables and control algorithm directly influences the dynamic behavior of condition changing, not of final steady state. The operation mode selection of fixed or slide pressure has the effect on ORC in both dynamic process and final steady state.