Optimal Control of CO2 Parallel Compression System Based on Machine Learning

Optimal Control of CO2 Parallel Compression System Based on Machine Learning

A dynamic simulation model of a transcritical CO2 parallel compression system was established using GT-SUITE simulation software to explore an efficient control method for the transcritical CO2 parallel compression system. Based on the system performance dataset obtained by the simulation, the secon...

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Bibliographic Details
Main Authors: Zhang Teng, Wei Xiangyu, Song Yulong, Cao Feng
Format: Article
Language:zho
Published: Journal of Refrigeration Magazines Agency Co., Ltd. 2021-01-01
Series:Zhileng xuebao
Subjects:
transcritical CO2 system
machine learning
model prediction control
dynamic simulation
Online Access:http://www.zhilengxuebao.com/thesisDetails#10.3969/j.issn.0253-4339.2021.06.036
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