Thermal conductivity measurement techniques for characterizing thermal energy storage materials – A review

Palacios, Anabel; Cong, Lin; Navarro, María Elena; Ding, Yulong; Barreneche, Camila

doi:10.1016/j.rser.2019.03.020

Cited by 141 publications

(67 citation statements)

References 168 publications

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“…: Steady-state and transient thermal conductivity techniques [28] Among the steady-state techniques, the guarded hot plate (HGP) method is used for low κ materials in a broad temperature range, i.e., 80 -1500 K. It provides high accuracy (< 2% error)…”

Section: Thermal Conductivitymentioning

confidence: 99%

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Thermally enhanced polyolefin composites: fundamentals, progress, challenges, and prospects

Chaudhry

Mabrouk

Abdala

2020

Science and Technology of Advanced Materials

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The low thermal conductivity of polymers is a barrier to their use in applications requiring high thermal conductivity such as electronic packaging, heat exchangers, and thermal management devices. Polyolefins represent about 55 percent of global thermoplastic production, and therefore improving their thermal conductivity is essential for many applications. This review analyzes the advances in enhancing the thermal conductivity of polyolefin composites. First, the mechanisms of thermal transport in polyolefin composites and the key parameters that govern conductive heat transfer through the interface between the matrix and the filler are discussed. Then the advantage with different thermally conductive fillers are reviewed and analyzed. Finally, the key challenges and future directions for developing thermally enhanced polyolefin composites are outlined.

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Section: Thermal Conductivitymentioning

confidence: 99%

“…where α is the thermal diffusivity (cm 2 /s), d is the sample thickness (cm), t 1/2 is the time (s) at which 50% of the maximum temperature increase is reached [28].…”

Section: Thermal Conductivitymentioning

confidence: 99%

Thermally enhanced polyolefin composites: fundamentals, progress, challenges, and prospects

Chaudhry

Mabrouk

Abdala

2020

Science and Technology of Advanced Materials

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“…The main thermal properties of the PCM/clay composite materials are phase change temperature, the heat of fusion and freezing, supercooling temperature, thermal reliability and stability, and thermal conductivity. These properties are mainly determined by the loaded PCM and can be measured with the complex of thermal analysis measurements, including differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), and several thermal conductivity methods (e.g., the Transient Plane Source (TPS) method) [45][46][47][48][49]. An important property of PCM/clay composites is the loading efficiency of PCM that is derived as the mass fraction of the PCM in the composite container.…”

Section: Pcm/clay Composites For Thermal Energy Storagementioning

confidence: 99%

Clay Composites for Thermal Energy Storage: A Review

et al. 2020

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The development of novel materials and approaches for effective energy consumption and the employment of renewable energy sources is one of the current trends in modern material science. With this respect, the number of researches is focused on the effective harvesting and storage of solar energy for various applications. Phase change materials (PCMs) are known to be able to store thermal energy of the sunlight due to adsorption and release of latent heat through reversible phase transitions. Therefore, PCMs are promising as functional additives to construction materials and paints for advanced thermoregulation in building and industry. However, bare PCMs have limited practical applications. Organic PCMs like paraffins suffer from material leakage when undergoing in a liquid state while inorganic ones like salt hydrates lack long-term stability after multiple phase transitions. To avoid this, the loading of PCMs in porous matrices are intensively studied along with the thermal properties of the resulted composites. The loading of PCMs in microcontainers of natural porous or layered clay materials appears as a simple and cost-effective method of encapsulation significantly improving the shape and cyclic stability of PCMs. Additionally, the inclusion of functional clay containers into construction materials allows for improving their mechanical and flame-retardant properties. This article summarizes the recent progress in the preparation of composites based on PCM-loaded clay microcontainers along with their future perspectives as functional additives in thermo-regulating materials.

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“…The values of λ eff can be either measured or indirectly predicted with mathematic models. The available λ eff data of sands are not sufficient to meet the demands, although great progress has been achieved in the measurement technologies of λ eff [12][13][14]. In addition, reliable λ eff data can only be measured by the transient method (e.g., heat pulse method) at full water content range, because the transient method is less likely to be affected by the water redistribution or phase change compared to the steady-state method (e.g., guarded hot plate).…”

Section: Introductionmentioning

confidence: 99%

A Review and Evaluation of Predictive Models for Thermal Conductivity of Sands at Full Water Content Range

Wang

Dyck

et al. 2020

Energies

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The effective thermal conductivity (λ eff ) of sands is a critical parameter required by applications in geothermal energy resources, geo-technique and geo-environment and in science disciplines. However, the availability of the reliable λ eff data is not sufficient and predictive models are usually used in practice to estimate λ eff . These predictive models may vary in complexity, flexibility, accuracy and applications. There is no universal model that can be applied to all soil types and full water content range. The choice of different models may result in distinctive estimates of λ eff . The objectives of this study were to conduct an extensive review of the thermal conductivity models of sands and evaluate their performance with a large dataset consisting of various sand types from dry to saturation. A total of 14 models to predict λ eff of sands were evaluated with a large compiled dataset consisting of 1025 measurements on 62 sands from 20 studies. The results show that the models of Chen 2008 (CS2008) and Zhang et al. 2016 give the best estimates of thermal conductivity of sands, with Nash-Sutcliffe efficiency = 0.9 and RMSE = 0.3 W m −1 • C −1 . These two models are potentially applied to accurately estimate thermal conductivity of sands of different types.

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Thermal conductivity measurement techniques for characterizing thermal energy storage materials – A review

Cited by 141 publications

References 168 publications

Thermally enhanced polyolefin composites: fundamentals, progress, challenges, and prospects

Thermally enhanced polyolefin composites: fundamentals, progress, challenges, and prospects

Clay Composites for Thermal Energy Storage: A Review

A Review and Evaluation of Predictive Models for Thermal Conductivity of Sands at Full Water Content Range

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