A hierarchical and categorized algorithm for efficient and robust simulation of thermal systems based on the heat current method

Abstract

A novel algorithm for thermal system simulation named hierarchical and categorized (H&C) algorithm is proposed based on the physical and mathematical categorization of system constraints, and the iterations for nonlinear implicit constraints can be minimized. Besides, it includes not only energy and mass balance equations but also the constraints of heat transfer, heat-work conversion, and fluid flow processes. The algorithm is first presented using an example of the Brayton cycle. Next, a complex and practical triple-pressure heat recovery power generation system is simulated using both the proposed algorithm and conventional methods to validate the H&C algorithm and present its advantages. The calculation performance comparison shows the calculation using the H&C algorithm only requires 14 initial values while using the simultaneous equations method (SEM) requires 80 initial values. Besides, the H&C algorithm also has a much larger convergence range of initial values (deviation of 10%) comparing to SEM (0.5%). Moreover, the level of nested iterations using the H&C algorithm is reduced to 4, while using the sequential modular method is 14. That is, the H&C algorithm presents both much higher efficiency and robustness, and hence it offers a powerful tool for the simulation and optimization of complex thermal systems.