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    ARTICLE

    Latent Heat Prediction of Nano Enhanced Phase Change Material by ANN Method

    Farzad Jaliliantabar1,2,*, Rizalman Mamat3, Sudhakar Kumarasamy2,4,5

    Energy Engineering, Vol.119, No.3, pp. 847-861, 2022, DOI:10.32604/ee.2022.019051

    Abstract Thermal characteristics of phase change material (PCM) are important in design and utilization of thermal energy storage or other applications. PCMs have great latent heat but suffer from low thermal conductivity. Then, in recent years, nano particles have been added to PCM to improve their thermophysical properties such as thermal conductivity. Effect of this nano particles on thermophysical properties of PCM has been a question and many experimental and numerical studies have been done to investigate them. Artificial intelligence-based approach can be a good candidate to predict thermophysical properties of nano enhance PCM (NEPCM). Then, in this study an artificial… More >

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