Dynamic Modeling of Heat Exchangers Based on Mechanism and Reinforcement Learning Synergy

Dynamic Modeling of Heat Exchangers Based on Mechanism and Reinforcement Learning Synergy

The current lack of a high-precision, real-time model applicable to the control optimization process of heat exchange systems, especially the difficulty in determining the overall heat transfer coefficient K of heat exchanger operating parameters in real time, is a prominent issue. This paper mainly...

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Bibliographic Details
Main Authors:	Hao Sun, Zile Jia, Meng Zhao, Jiayuan Tian, Dan Liu, Yifei Wang
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Series:	Buildings
Subjects:	heat exchanger dynamic model parameter identification reinforcement learning DDPG
Online Access:	https://www.mdpi.com/2075-5309/14/3/833

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