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

Internet

https://www.mdpi.com/2075-5309/14/3/833

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