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Changda Nie
Researcher at Central South University
Publications - 7
Citations - 196
Changda Nie is an academic researcher from Central South University. The author has contributed to research in topics: Phase-change material & Natural convection. The author has an hindex of 5, co-authored 7 publications receiving 61 citations.
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Effects of fins arrangement and parameters on the consecutive melting and solidification of PCM in a latent heat storage unit
TL;DR: In this paper, the characteristics of consecutive melting and solidification of a phase change material (PCM) in a horizontal double tube LHS unit were investigated using a two-dimensional symmetric simulation model with considering natural convection.
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Effect of geometry modification on the thermal response of composite metal foam/phase change material for thermal energy storage
TL;DR: In this article, seven vertical shell-tube latent heat storage (LHS) systems are built to explore the effect of geometry on the melting and solidification behavior of phase change material (PCM).
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Effect of geometric parameter and nanoparticles on PCM melting in a vertical shell-tube system
TL;DR: In this article, the charging process of vertical shell-tube latent heat storage (LHS) system with two heat transfer fluid (HTF) injection orientations was investigated and a two-dimensional numerical model based on the finite volume method (FVM) was developed and verified with the experimental data.
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Numerical investigation on latent heat storage enhancement using a gradient-concentration nanoparticles phase change material
TL;DR: In this paper, the combined full-fins and nanoparticles in gradient-concentration was proposed to overcome the low melting rate of phase change materials (PCMs) due to their low conductivity and local natural convection.
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Effects of partially thermally active walls on simultaneous charging and discharging of paraffin wax in a square cavity
TL;DR: In this article, the performance of paraffin wax in a square cavity under simultaneous charging and discharging (SCD) condition is investigated, and the authors developed and validated a computational fluid dynamics (CFD) model against experimental data.