doi: 10.7763/IJMO.2023.V13.834
Temperature Estimation Accuracy Improvement of Computational Fluid Dynamic Simulation by Optimizing Multiple Parameters
Yuanzhi Huo
1,*
,
Nobuo Funabiki
1
,
Xiang Xu
1
,
Kazuyuki Kojima
2
,
Yihan Zhao
2
,
Wenchung Kao
3
- 1 Department of Information and Communication Systems, Okayama University, Okayama, Japan.
- 2 Department of Mechanical Engineering of Shonan Institute of Technology University, Kanagawa, Japan.
- 3 Department of Electrical Engineering National Taiwan Normal University, Taipei, Taiwan.
- Manuscript received March 27, 2023
- revised April 13, 2023
- accepted June 19, 2023
- published October 16, 2023
Abstract
The computational fluid dynamic (CFD) modelcan be used to estimate temperatures of structures withcomplex dynamics. Currently, we are developing the CFDmodel for estimating temperatures in a room that has coolingand heating sources to optimize the air-conditioning guidance.Previously, only one parameter in the model was optimizedusing the parameter optimization algorithm, which results ininsufficient estimation accuracy. In this paper, we present theimprovement by optimizing the four parameters in the modeland allowing different values to them by the temperature. Theevaluation results show that the average difference between theestimated and measured temperature is reduced to 0.06℃ andthe coefficient of determination R2 is improved to 0.9994.
Keywords
- CFD model simulation
- parameteroptimization algorithm
- temperature estimation
How to Cite
Yuanzhi Huo, Nobuo Funabiki, Xiang Xu, Kazuyuki Kojima, Yihan Zhao, and Wenchung Kao, "Temperature Estimation Accuracy Improvement of Computational Fluid Dynamic Simulation by Optimizing Multiple Parameters," International Journal of Modeling and Optimization, vol. 13, no. 4, pp. 107-111, 2023. https://doi.org/ 10.7763/IJMO.2023.V13.834
Copyright & License
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).