Improving thermal characteristics and stability of phase change material containing TiO2 nanoparticles after thermal cycles for energy storage

Sami, Samaneh; Etesami, Nasrin

doi:10.1016/j.applthermaleng.2017.06.023

Cited by 107 publications

(60 citation statements)

References 23 publications

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“…Chemical degradation of PCMs is reported in several papers under the name of thermal stability studies . In all of them, TGAs are performed under inert atmosphere (N 2 or Ar) at a single heating rate (normally 10°C/min) in order to obtain the temperature limit for the beginning of PCM degradation.…”

Section: Service Conditions and Degradation Factorsmentioning

confidence: 99%

“…In this sense, organic PCMs with T ph‐ch values below 100°C, such as paraffins or fatty acids, showed a decrease in Δ H ph‐ch not higher than 10% after 450 to 1200 cycles . This decrease in Δ H ph‐ch was lower or even disappeared when the same PCMs formed composites with inert materials . In contrast, other organic PCMs with T ph‐ch above 100°C such as sugar alcohols, hydroquinone, salicylic acid, benzamide, or liquid crystals showed strong degradation after only a few melting/freezing cycles.…”

Section: Introductionmentioning

confidence: 98%

“…According to this review, most tested PCMs are intended for storage applications at temperatures below 100°C. Those PCMs include pure substances, eutectic mixtures, and composites that undergo either solid‐liquid or solid‐solid phase transitions. In contrast, only few stability studies have been found for PCMs intended to temperature applications above 100°C.…”

Section: Introductionmentioning

confidence: 99%

“…In order to perform cycling tests, some authors used differential scanning calorimetry (DSC), whereas the majority used set‐ups adapted and/or designed on purpose. Those set‐ups included thermostatic chambers, thermal water baths, electric hot plates with temperature control, weathering chambers, ovens with controlled heating, and, in few cases, also with a cooling control .…”

Section: Introductionmentioning

confidence: 99%

“…If a DSC apparatus is not used to perform the cycling tests, these thermophysical properties have to be measured after a certain number of cycles mainly by DSC or thermogravimetric analysis (TGA). Additionally, for detecting chemical or structural changes in the PCMs after the cycling, some authors applied analytical techniques like, for example, Fourier transform infrared spectroscopy (FTIR), visible and ultraviolet spectroscopy (VisUV), X‐ray diffraction (XRD), high performance liquid chromatography (HPLC), or scanning electron microscopy (SEM) …”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Development of a new methodology for validating thermal storage media: Application to phase change materials

Bayón

Rojas

2019

Int J Energy Res

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Summary Long‐term stability and long‐term performance of thermal storage media are a key issue that should be thoroughly analysed when developing storage systems. However, no testing protocol or guideline exists up to now for validating storage media, so that authors apply their own criteria, not only for designing testing procedures but also for predicting the material behaviour under long‐term operation. This paper aims to cover this gap by proposing a methodology for validating thermal storage media; in particular, phase change materials (PCMs). This methodology consists of different stages that include PCM characterization, preliminary assessment tests, and accelerated life testing. For designing the accelerated life tests, lifetime relationship models have to be obtained in order to predict PCM long‐term behaviour under service conditions from shorter tests performed under stress conditions. The approach followed in this methodology will be valid for materials to be used as sensible or thermochemical storage media, too.

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Section: Service Conditions and Degradation Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Development of a new methodology for validating thermal storage media: Application to phase change materials

Bayón

Rojas

2019

Int J Energy Res

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A Review on Thermal Properties Improvement of Phase Change Materials and Its Combination with Solar Thermal Energy Storage

Liu

Zhang

et al. 2021

Energy Tech

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This article summarizes measures to enhance the solar phase change thermal energy storage (TES), starting from two key points in solar phase change TES research: solar phase change materials (PCM) and solar phase transition devices. First, different types of PCM and their advantages and disadvantages are introduced. To improve thermal performance, the research progress of different dimensional thermal conductivity additives, photothermal composite phase change materials (CPCM), and phase change microcapsules is reviewed. Then, the characteristics of commonly used solar phase transition TES devices and the research status of solar energy device improvement with fins and multistage phase transition TES are summarized for the past few years. It is hoped to provide methods and ideas for the design and research of solar phase change TES systems, and to increase the overall heat transfer properties through the combination of multiple optimization methods. Finally, the future direction and research focus of solar phase change TES technology are put forward.

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Applying artificial neural networks to predict the enhanced thermal conductivity of a phase change material with dispersed oxide nanoparticles

Motahar

Sadri

2021

Intl J of Energy Research

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The weak thermal conductance of a phase change material (PCM) can be intensified by dispersing nanostructured materials called nano-PCM. Accurate thermal conductivity (TC) prediction of nano-PCM is essential to evaluate heat transport during phase change processes, namely, melting and solidification. The present study develops an artificial neural network (ANN) to forecast the TC of n-octadecane as a PCM with dispersed oxide nanoparticles. A total of 122 experimental datasets from existing literature with a wide range of temperatures (5-60 C), nanoparticles (CuO, Al 2 O 3 , TiO 2 , and mesoporous SiO 2 ), nanoparticle mass fractions (0.5-12 wt%) are compiled to train a multi-layered feed-forward ANN with Levenberg-Marquardt back-propagation algorithm.An optimal architecture of the neural network is acquired by varying the number of network hidden layers, the number of neurons in each layer, and the transfer function of layers. The minimum mean square error (MSE) of 1.3512 Â 10 À5 is obtained for the best developed ANN. Results show that average absolute deviation (AAD) of 0.002458, mean absolute percentage error (MAPE) of 0.8260%, and correlation coefficient (R) of 0.999964948 are achieved for training data. Moreover, MAPE, AAD, and R values are, respectively, 0.9478, 0.002167, and 0.9999715861 for testing data. The maximum percentage errors of ANN computed values are 2.31%, and 0.812% for liquid and solid phases, respectively. This indicates that the ANN model accurately predicts the enhanced TC of nano-PCM across various oxide nanoparticles, temperatures, and nanoparticle loadings.

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Improving thermal characteristics and stability of phase change material containing TiO2 nanoparticles after thermal cycles for energy storage

Cited by 107 publications

References 23 publications

Development of a new methodology for validating thermal storage media: Application to phase change materials

Development of a new methodology for validating thermal storage media: Application to phase change materials

A Review on Thermal Properties Improvement of Phase Change Materials and Its Combination with Solar Thermal Energy Storage

Applying artificial neural networks to predict the enhanced thermal conductivity of a phase change material with dispersed oxide nanoparticles

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