Nanoparticles as molten salts thermophysical properties enhancer for concentrated solar power: A critical review

Aljaerani, Hatem Ahmad; Samykano, M.; Saidur, R.; Pandey, A.K.; Kadirgama, K.

doi:10.1016/j.est.2021.103280

Cited by 31 publications

(24 citation statements)

References 120 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The size and the concentration of the NPs are important parameters that govern the NF performance [ 40 , 41 ]. The characterization of the nanoparticles has been done through pure samples electronic microscopy.…”

Section: Resultsmentioning

confidence: 99%

Effect of Nanoparticles on the Thermal Stability and Reaction Kinetics in Ionic Nanofluids

et al. 2022

View full text Add to dashboard Cite

Nowadays, the incorporation of nanoparticles into thermal fluids has become one of the most suitable strategies for developing high-performance fluids. An unconventional improvement of thermo–physical properties was observed with the addition of 1% wt. of nanoparticles in different types of fluids, such as molten salts, allowing for the design of more thermally efficient systems using nanofluids. Despite this, there is a lack of knowledge about the effect that nanoparticles produce on the thermal stability and the decomposition kinetics of the base fluid. The present study performs IR- and UV-vis spectroscopy along with thermogravimetric analysis (TGA) of pure nitrate and nitrate based nanofluids with the presence of SiO2 and Al2O3 nanoparticles (1% wt.). The results obtained support that nanoparticles accelerate the nitrate to nitrite decomposition at temperatures below 500 °C (up to 4%), thus confirming the catalytic role of nanoparticles in nanofluids.

show abstract

Section: Resultsmentioning

confidence: 99%

Effect of Nanoparticles on the Thermal Stability and Reaction Kinetics in Ionic Nanofluids

et al. 2022

View full text Add to dashboard Cite

show abstract

“…In this process, boiling should be avoided to prevent the agglomeration of nanoparticles [65]. Sonication is considered to be an effective way to deagglomerate nanoparticles in molten salts [30]. Lasfargues [40] used a ball mill to directly grind and mix a eutectic salt (NaNO 3 -KNO 3 ) with CuO and Ti 2 O nanoparticles in solid state and found that nanoparticles are aggregated, which could not be dispersed and an interconnected layer was formed.…”

Section: Two-step Methodsmentioning

confidence: 99%

“…They also found that the addition of NaOH to the nanofluids could disrupt the formation of dendritic nanostructures, thus reducing the heat capacity enhancement and the viscosity increase 29. The use of surfactants/dispersants, low nanoparticle concentrations, or an appropriate particle size could effectively decrease the viscosity of nanosuspensions 30.…”

Section: Particle Technology In Sensible Tes Materials – Molten Salt‐...mentioning

confidence: 99%

Particle Technology in the Formulation and Fabrication of Thermal Energy Storage Materials

Zhu

Jin²,

Zhang

et al. 2022

Chemie Ingenieur Technik

View full text Add to dashboard Cite

Ing. Joachim Werther on the occasion of his 80th birthdayThis article reviews the state of the art of the formulation and fabrication of sensible, latent, and thermochemical thermal energy storage (TES) materials with special focus on the role of particle technology in enhancing the performance of these materials. Molten salt-based sensible TES materials have been intensively studied, particularly the use of doped nanoparticles for enhancing specific heat capacity and thermal conductivity. For latent TES, the inclusion of property enhancers is among the most effective approaches to address the low thermal conductivity and supercooling issues of phase change materials (PCMs), whereas the encapsulation of PCMs and structurally stabilized composite PCMs are the favorable methods to address leakage and chemical incompatibility challenges. Thermochemical TES materials are often incorporated with an inert or an active host matrix for structural stabilization.

show abstract

“…x A T = (10) where λ is the thermal conductivity, ϕ is the heat flow, and ΔT/Δx is the temperature gradient along the heat flow direction. The results of the pure NaCl salt are shown in Figure 12.…”

Section: Mean Square Displacement and Diffusion Coefficientmentioning

confidence: 99%

“…Many researchers have performed MD simulations on molten salt PCMs to explore their various properties in the past few years. 10 The results of the simulation depend heavily on the empirical potential used. Recently, some researchers have developed new machine learning (ML) potentials to construct the potential energy surface (PES), like neural network potentials (NNPs), 11 Gaussian approximation potentials (GAPs), 12 and moment tensor potentials (MTPs).…”

Section: Introductionmentioning

confidence: 99%

Microstructure and Thermophysical Property Prediction for Chloride Composite Phase Change Materials: A Deep Potential Molecular Dynamics Study

Zhao

Tao

2023

J. Phys. Chem. C

View full text Add to dashboard Cite

For concentrated solar power systems, the chloride nanocomposite phase change material (PCM) is a promising candidate for heat storage. However, the complex components in composite PCMs have posed a great challenge to accurately predicting the thermal properties by molecular dynamics simulation. A deep potential molecular dynamics (DPMD) method was adopted to describe the interactions in chloride composite PCMs based on the machine learning method. The deep potential (DP) was constructed by training the data sets from ab initio molecular dynamics (AIMD) calculations and was then used to predict the microstructure and thermophysical properties of NaCl and NaCl−SiO 2 PCMs. The structural characteristics at different temperatures were determined by the radial distribution function, mean squared displacement, and diffusion coefficient. The thermophysical properties predicted by DP were well accordant with the experimental results. The largest relative errors of the density and the thermal conductivity were 10.7% and 8.9% for NaCl, respectively. The values were more accurate than those predicted by Lennard-Jones potential and Born−Mayer−Huggins−Tosi−Fumi (BMHTF) potential. Additionally, DPMD results showed that the thermal conductivity of NaCl−SiO 2 increased by up to 8.5% in comparison with that of pure NaCl. The work presents a novel molecular potential based on the machine learning method and narrows data gaps for the prediction of the thermal properties of composite chloride salts.

show abstract

Nanoparticles as molten salts thermophysical properties enhancer for concentrated solar power: A critical review

Cited by 31 publications

References 120 publications

Effect of Nanoparticles on the Thermal Stability and Reaction Kinetics in Ionic Nanofluids

Effect of Nanoparticles on the Thermal Stability and Reaction Kinetics in Ionic Nanofluids

Particle Technology in the Formulation and Fabrication of Thermal Energy Storage Materials

Microstructure and Thermophysical Property Prediction for Chloride Composite Phase Change Materials: A Deep Potential Molecular Dynamics Study

Contact Info

Product

Resources

About