A new programmed method for retrofitting heat exchanger networks using graph machine learning-Reference-Cited by-同舟云学术

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A new programmed method for retrofitting heat exchanger networks using graph machine learning

Published:2024-04 Issue: Volume:242 Page:122427
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Chen Xin^ORCID,Huang JiangBo,Zhang Lin^ORCID

Publisher

Elsevier BV

Reference42 articles.

1. Studies on the retrofit of heat exchanger network based on the hybrid genetic algorithm;Liu;Appl. Therm. Eng.,2014

2. A systematic graphical method for synthesis of heat exchanger networks;Al-Mayyahia;J. Therm. Eng.,2021

3. Comparison of graphical tools for targeting and retrofit of heat exchanger networks;Li;CET J. Chem. Eng. Trans.,2019

4. Novel MILP-based optimization method for retrofitting heat exchanger networks;Pan,2012

5. Use of advanced composite curves for assessing cost-effective HEN retrofit I: Theory and concepts;Nordman;Appl. Therm. Eng.,2009

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