Nanoparticle Enhanced Thermal Energy Storage Systems

Summary

Nanoparticle enhanced thermal energy storage systems augment conventional phase change materials (PCMs) by dispersing nano-sized particles—typically aluminium oxide, copper oxide or hybrid composites—within a base medium. The high intrinsic thermal conductivity of these particles, combined with Brownian motion and improved micro-convection, accelerates heat charge and discharge rates, reduces thermal resistance and enables more compact storage modules. Numerical models and experimental prototypes have demonstrated reductions in solidification and melting times of up to 40 %, while maintaining stable dispersion and minimising sedimentation through optimised particle size and fraction. Key applications span solar thermal collectors, cold-energy storage for refrigeration, waste-heat recovery and building-integrated systems, offering enhanced energy density and rapid response to variable load conditions. Finned geometries, adaptive grid simulation and hybrid nanoparticle formulations further extend performance by tailoring the thermal pathways and interface areas within storage containers.

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Nanoparticle Enhanced Thermal Energy Storage Systems publication trend

The graph below shows the total number of articles in nanoparticle enhanced thermal energy storage systems across all publications each year (not limited to Nature Index journals).

Technical terms

Phase change material (PCM): A substance that absorbs or releases latent heat during melting or solidification at a nearly constant temperature.

Nanoparticle: A particle with dimensions in the order of 1–100 nm, providing high surface-area-to-volume ratio and enhanced thermal conductivity when dispersed in a fluid.

Thermal conductivity: A measure of a material’s ability to conduct heat, expressed in watts per metre-kelvin (W·m⁻¹·K⁻¹).

Finite element method (FEM): A numerical technique for solving partial differential equations by discretising a domain into small, interconnected elements.

Adaptive grid technique: A computational mesh refinement strategy that adjusts element size dynamically to capture evolving thermal fronts or phase boundaries with high accuracy.

References

  1. Acceleration the solidification process of cold-thermal storage/nanoparticles using finned container: A numerical study. Case Studies in Thermal Engineering (2023).
  2. Analyzing porous cold storage unit in presence of hybrid nano-powders considering Galerkin method. Case Studies in Thermal Engineering (2024).

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