Progress of research on phase change energy storage materials in their thermal conductivity

Tan, Shenhui; Zhang, Xuelai

doi:10.1016/j.est.2023.106772

Cited by 49 publications

(11 citation statements)

References 104 publications

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“…[ 53 ] Commonly used nanoparticle additives include nano‐Cu, nano‐Al 2 O 3 , nano‐CuO, nano‐TiO 2 , nano‐Fe 2 O 3 , and nano‐ZnO, etc. [ 54 ] Table 5 summarizes the enhancement impact of incorporating nanoparticle materials on the thermal conductivity of PCMs.…”

Section: Pcms and Lhtes Technologymentioning

confidence: 99%

Recent Advances in Photovoltaic and Photovoltaic Thermal Technologies of Integrated Phase‐Change Materials: A Review

Fang,

Zhang,

Liu

et al. 2024

Solar RRL

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Photovoltaic (PV) cells convert solar energy into electricity is currently the cleanest and most economical way to generate electricity. Nevertheless, just a portion of the solar power can be transformed into electrical energy, while the remaining portion is converted into heat, leading to an increase in the temperature of the PV cells. The rise in temperature will not only cause a decrease in the electrical efficiency of PV cells, but it may also impact their lifespan. By placing phase change materials (PCMs) on the back of the PV cells, it is possible to decrease the temperature increase and enhance the electrical efficiency. The heat collected by PCMs can also be taken away using liquid cooling and put to use. In this paper, the classification, performance evaluation and composite modification technology of PCMs are introduced in detail. The practical application requirements of PCMs in thermal management of PV cells are discussed, and some new ideas of applying PCMs to PV cells are prospected. Moreover, the prior investigations regarding the incorporation of PCMs with PV systems and PV/T systems have also been compiled, encompassing the various research perspectives and methodologies employed. In addition, the possible development direction in the future is prospected.This article is protected by copyright. All rights reserved.

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Section: Pcms and Lhtes Technologymentioning

confidence: 99%

Recent Advances in Photovoltaic and Photovoltaic Thermal Technologies of Integrated Phase‐Change Materials: A Review

Fang,

Zhang,

Liu

et al. 2024

Solar RRL

Self Cite

View full text Add to dashboard Cite

show abstract

“…Current research in the field of heat storage is focused on increasing the thermal conductivity of PCMs in a variety of ways, including the effects of PCM geometrical parameters, PCM heat exchanger configurations and the addition of nanoadditives such as carbon, graphene, graphite, metals, nanotubes, metal foams, etc., but at the same time, problems such as the sedimentation of additives also arise from this. The main three factors that influence the selection of PCMs for different applications are the melting temperature, the latent heat of fusion and the thermophysical properties of the PCM, the primary thermal conductivity [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

“…Although PCMs offer significant advantages for thermal energy storage due to their high latent heat capacity, their low thermal conductivity hinders their practical application. Existing research has explored various methods to improve the performance of PCMs, including the incorporation of nanoadditives, microencapsulation and geometric modifications (e.g., fins) [21][22][23]. However, a critical gap in the research remains regarding the achievement of significant improvements in cure and fusion rates without compromising other important PCM properties and without implementing complex and expensive modifications.…”

Section: Introductionmentioning

confidence: 99%

Techniques for Enhancing Thermal Conductivity and Heat Transfer in Phase Change Materials in Hybrid Phase Change Material–Water Storage Tanks

Shmyhol,

Rimár,

Fedak

et al. 2024

Applied Sciences

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In recent years, extensive research has been dedicated to enhancing energy efficiency and promoting environmental sustainability in heating and cooling systems. Among the promising solutions, phase change materials (PCM) technology stands out as a key area of exploration. This study focuses on improving the thermal performance of PCM–water hybrid tanks by investigating methods to enhance thermal conductivity and heat transfer. Through experimental testing using techniques such as copper matrices, steel twisted matrices, and copper spirals, this study demonstrates significant improvements in thermal conductivity, particularly with the use of copper matrices. The integration of a copper matrix placed in the PCM reservoir increased the heat transfer coefficient and thermal conductivity of the PCM, and thus, the total phase transformation time for solidification was reduced by 79.19% and for melting by 54.7%. Our experimental results demonstrate that the integration of a copper matrix can increase latent heat transfer from 55,677.6 J up to 125,274.6 J, marking a 125% enhancement over the experiment with pure PCM. Additionally, comparisons of the energy storage potentials for different PCMs underscore the benefits of integrating PCMs into hybrid storage tanks. These findings highlight the immense potential of PCM technology to increase energy storage efficiency in heating and cooling applications.

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“…Subsequently, significant research evolved toward understanding the thermophysical properties of PCMs. Reports in the last few years have demonstrated the continuous development of the thermophysical properties of PCMs [2][3][4][5]. Thermal energy-storage systems, which predominantly depend on solar energy, the limited availability of solar energy during daylight hours presents a significant challenge.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation and Artificial Neural Network-Based Prediction of Thermal Conductivity of Metal Oxide-Enhanced Organic Phase-Change Materials

Mohan,

Dewangan,

Rao

et al. 2024

International Journal of Energy Research

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This research article presents a comprehensive study on the prediction of thermal conductivity (TC) as a primary outcome for an artificial neural network (ANN) model in the context of nanoenhanced phase change materials (NEPCMs). To improve predictive accuracy and to reduce variation within the NEPCM dataset, a targeted dataset was employed, consisting exclusively of NEPCMs synthesized using paraffin wax (PW) and metal oxide nanoparticles. Unlike existing empirical models that predict TC of NEPCM without simultaneously considering multiple factors influencing it, this study integrates multiple factors, providing a more accurate prediction of NEPCM thermal conductivity. Additionally, the study explores the impact of synthesis parameters on the thermal performance of NEPCMs, focusing on the examination of factors such as the melting temperature of pure phase change material (PCM), nanoparticle size, and NEPCM composition. The thermal characterizations demonstrate outstanding thermophysical properties in NEPCMs, particularly in terms of thermal conductivity, phase change enthalpy, and thermal stability compared to their respective base PCM. An ANN TC prediction model demonstrates exceptional correlation (>99%) with reported NEPCMs, providing a reliable tool for TC forecasting in similar NEPCM categories. The backpropagation ANN model predicts NEPCM TC with a mean squared error (MSE) of 0.031124 within eight epochs. The dataset used exhibits high fit values, with R-values of 0.99825, 0.99208, and 0.9824 for training, validation, and testing, respectively. These values closely match experimentally determined TC, with less than 4% error.

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Progress of research on phase change energy storage materials in their thermal conductivity

Cited by 49 publications

References 104 publications

Recent Advances in Photovoltaic and Photovoltaic Thermal Technologies of Integrated Phase‐Change Materials: A Review

Recent Advances in Photovoltaic and Photovoltaic Thermal Technologies of Integrated Phase‐Change Materials: A Review

Techniques for Enhancing Thermal Conductivity and Heat Transfer in Phase Change Materials in Hybrid Phase Change Material–Water Storage Tanks

Experimental Investigation and Artificial Neural Network-Based Prediction of Thermal Conductivity of Metal Oxide-Enhanced Organic Phase-Change Materials

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