Enhancing heat exchanger design using autoencoder model for predicting efficiency and cost in chemical processing

Enhancing heat exchanger design using autoencoder model for predicting efficiency and cost in chemical processing

Efficient heat exchanger design is paramount in optimizing chemical processing operations, where energy consumption and cost considerations are crucial. Traditional design approaches rely on empirical correlations and iterative simulations, often resulting in suboptimal solutions due to the complex...

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Bibliographic Details
Main Authors: Manimegalai T, Anitha Gopalan, Vanmathi Murugesan, Jayant Giri, Praveen Barmavatu, Praveenkumar T R, Dinesh Mavaluru, Rafath Samrin
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Case Studies in Thermal Engineering
Subjects:
Heat exchanger design
Autoencoder model
Efficiency prediction
Cost prediction
Chemical processing optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X24016769
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