Novel sampling procedure and statistical analysis for the thermal characterization of ionic nanofluids

An efficient storage system is crucial for the effective implementation of renewable energies in energy ecosystem, required to mitigate climate change and reach European Green Deal. Nanofluids features improved thermal properties, being able store unexpected amount by adding around 1 wt% nanoparticles at base fluid. Therefore, nanofluids become more attractive their as Thermal Energy Storage (TES) medium or Heat Transfer Fluid (HTF). However, main drawbacks are lack consensus on a theoretical explanation this behaviour, controversial uniformity thermophysical experimental results literature. The goal work develop perform study properties several nanofluid samples subsequent statistical analysis. To achieve objective, three batches 24-samples were analysed: NaNO3 based with types (1% wt.): SiO2, Al2O3 clay. analysis indicates that have low impact melting enthalpy temperature strong specific heat capacity (Cp). most remarkable result high dispersion Cp values despite considering sampling procedure. This fact agrees variability found Finally, methodology proposed may facilitate comparison among measured literature results.