Manuscript received March 27, 2023; revised April 13, 2023; accepted June 19, 2023; published October 16, 2023.
Abstract—The computational fluid dynamic (CFD) model
can be used to estimate temperatures of structures with
complex dynamics. Currently, we are developing the CFD
model for estimating temperatures in a room that has cooling
and heating sources to optimize the air-conditioning guidance.
Previously, only one parameter in the model was optimized
using the parameter optimization algorithm, which results in
insufficient estimation accuracy. In this paper, we present the
improvement by optimizing the four parameters in the model
and allowing different values to them by the temperature. The
evaluation results show that the average difference between the
estimated and measured temperature is reduced to 0.06℃ and
the coefficient of determination R2 is improved to 0.9994.
Index Terms—CFD model simulation, parameter
optimization algorithm, temperature estimation
Y. Huo, N. Funabiki, X. Xu are with the Department of Information and
Communication Systems, Okayama University, Okayama, Japan. E-mail:
funabiki@okayama-u.ac.jp (N.F.); xuxiang5012@gmail.com (X.X.)
K. Kojima, Y. Zhao are with the Department of Mechanical Engineering
of Shonan Institute of Technology University, Kanagawa, Japan. E-mail:
kojima@mech.shonan-it.ac.jp (K.K.); 22t1007@sit.shonan-it.ac.jp (Y.Z.)
W.-C. Kao is with Department of Electrical Engineering National Taiwan
Normal University, Taipei, Taiwan. E-mail: jungkao@ntnu.edu.tw
(W.C.K.)
*Correspondence: pa9h1fz9@s.okayama-u.ac.jp (Y.H.)
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.
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