A hierarchical and categorized algorithm for efficient and robust simulation of thermal systems based on the heat current method
Tian Zhao,
Xi Chen,
Ke-Lun He and
Qun Chen
Energy, 2021, vol. 215, issue PA
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.
Keywords: Heat current method; Thermal systems; Hierarchical and categorized algorithm; Calculation robustness; Computational efficiency (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S036054422032212X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:215:y:2021:i:pa:s036054422032212x
DOI: 10.1016/j.energy.2020.119105
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().