Thermal Degradation Studies and Machine Learning Modelling of Nano-Enhanced Sugar Alcohol-Based Phase Change Materials for Medium Temperature Applications

Thermal Degradation Studies and Machine Learning Modelling of Nano-Enhanced Sugar Alcohol-Based Phase Change Materials for Medium Temperature Applications

Thermogravimetric analysis (TGA) was utilised to compare the thermal stability of pure phase change material (D-mannitol) to that of nano-enhanced PCM (NEPCM) (i.e., PCM containing 0.5% and 1% multiwalled carbon nanotubes (MWCNT)). Using model-free kinetics techniques, the kinetics of pure PCM and N...

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Bibliographic Details
Main Authors: Ravi Kumar Kottala, Bharat Kumar Chigilipalli, Srinivasnaik Mukuloth, Ragavanantham Shanmugam, Venkata Charan Kantumuchu, Sirisha Bhadrakali Ainapurapu, Muralimohan Cheepu
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
thermal degradation kinetics
multi walled carbon nanotubes
phase change materials
thermal storage
machine learning models
Online Access:https://www.mdpi.com/1996-1073/16/5/2187

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https://www.mdpi.com/1996-1073/16/5/2187

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