4.7 Article

Numerical simulation through experimental validation of latent and sensible concrete thermal energy storage system

Journal

JOURNAL OF ENERGY STORAGE
Volume 51, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.est.2022.104567

Keywords

Phase change materials; Thermal storage; Solar salts; Concrete module

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Funding

  1. University of Padova [188024]

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This article presents a new type of concrete with a thermal energy storage system using phase change material (PCM). The integration of PCM into the system improves the thermal performance significantly, leading to an increase in stored and released thermal energy.
A new type of concrete with PCM (Phase Change Material) thermal energy storage system is presented. The system, developed for industrial applications, is supposed to operate with a temperature up to 400 degrees C and the PCM added mixture presents enhanced thermal performances. A binary mixture of salts was used as PCMs, composed of 40% of KNO3 and 60% of NaNO3, and they were absorbed by diatomite, a porous fossil flour. A stainless-steel pipe is inserted in the centre of a concrete cylinder, the whole system is insulated. The experimental tests studied two concrete mixtures, with 5% PCM in weight and without it. The charging stage is carried out via Joule's effect and the module is then cooled with compressed air through the pipe. The two mixtures were tested under the same operating conditions. The module was numerically simulated and the results were compared with previous experimental tests to calibrate the model. Further numerical simulations were conducted to test other PCM percentages, under the same conditions as the experimental tests and with thermal oil as heat transfer fluid, to evaluate a possible working scenario. The results showed that the PCM integration into the storage system led to an impressive improvement in thermal performance. The amount of stored and released thermal energy increased with the PCM integration, coming to double its original value with the highest PCM percentage integration simulated, which corresponds to 40%.

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