Optimizing the Design of TES Tanks for Thermal Energy Storage Applications Through an Integrated Biomimetic-Genetic Algorithm Approach

Optimizing the Design of TES Tanks for Thermal Energy Storage Applications Through an Integrated Biomimetic-Genetic Algorithm Approach

Building upon an experimentally validated bio-inspired thermal energy storage (TES) tank design, this study introduced a novel computational framework that integrated genetic algorithms (GA) with biomimetic principles to systematically generate TES tank geometries. Inspired by natural thermal distri...

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Bibliographic Details
Main Authors: Nadiya Mehraj, Carles Mateu, Gabriel Zsembinszki, Luisa F. Cabeza
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Biomimetics
Subjects:
thermal energy storage (TES)
bio-inspired TES tank
biomimetics
genetic algorithm (GA)
design optimization
artificial intelligence (AI)
Online Access:https://www.mdpi.com/2313-7673/10/4/197
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