Development and investigation of form-stable quaternary nitrate salt based composite phase change material with extremely low melting temperature and large temperature range for low-mid thermal energy storage

Li, Qi; Wei, Wen‐Cheng J.; Li, Yuying; Li, Chuan; Ge, Ruihuan; Du, Yanping; Zhang, Xinjing; Wu, Yuting

doi:10.1016/j.egyr.2021.12.054

Cited by 18 publications

(1 citation statement)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…9 These PCMs are best for storing thermal energy in the low-temperature range (below 120 C). Inorganic PCMs, on the other hand, include salt hydrates 10 (generally used for low temperature applications), nitrates, 11 carbonates 12 (for medium temperature applications, that is, below 300 C); chlorides 13 and metals 14 (suitable for high temperature applications). Of all inorganic PCM materials, nitrate salts show desirable properties such as higher storage density per unit volume, adequate thermal conductivity and more stability, causing them to be chosen as potential candidates.…”

Section: Introductionmentioning

confidence: 99%

Thermal degradation studies and hybrid neural network modelling of eutectic phase change material composites

Balasubramanian

Kottala

Prabhakaran

et al. 2022

Intl J of Energy Research

View full text Add to dashboard Cite

Summary Using a thermogravimetric analyzer, the thermal stability of pure eutectic phase change material (PEPCM) (LiNO3 + NaCl) and composite eutectic PCM (CEPCM) mixture (ie, PCM containing 9% expanded graphite [EG]) was examined. PEPCM and CEPCM degradation kinetics were studied using model free kinetics methods. The activation energy of both PCM samples was evaluated using the Kissinger‐Akahira‐Sunose (KAS), Flynn‐Wall‐Ozawa (FWO), Starink, Friedman and Vyazovkin kinetic models. The calculated activation energies for Vyazovkin, Frideman, Ozawa, KAS and Starink techniques for PEPCM were 80.62‐149.2, 108.1‐180.18, 83.74‐136.17, 73.55‐127.02 and 74.64‐149.9 kJ/mol, respectively. Likewise, the activation energy of CEPCM vary between 59.4‐161.41, 83.97‐188.69, 57.1‐147.32, 54.19‐137.43 and 55‐160.65 kJ/mol. Hybrid neural networks such as ANN‐PSO and ANFIS were used to model the degradation of PCM samples. The type of PCM, the heating rate, and the temperature were applied as input parameters, while the sample's mass loss was utilized as an output parameter. The created hybrid models are capable of effectively predicting experimental TGA data.

show abstract