Investigation of the effect of skeleton structure on the thermal energy storage performance of solid-liquid phase change using LBM

doi:10.19799/j.cnki.2095-4239.2022.0776

Abstract

Abstract:

The solid-liquid phase change material (PCM) stores energy in the form of latent heat and is widely used for thermal energy storage. However, traditional PCMs generally exhibit low thermal conductivity. Adding a porous skeleton with high thermal conductivity can improve the thermal storage performance of these materials. To investigate the effect of the porous skeleton structure on thermal storage performance, we examined the effect of the porosity and directional growth probability on the melting process at the pore scale using an enthalpy-based lattice Boltzmann method with a double distribution function model. A dimensionless thermal storage power parameter was proposed to evaluate performance. Our results showed that as the porosity decreases, the melting rate of the composite increases, and the dimensionless heat storage power is enhanced. When the porosity is below 0.80, the dimensionless thermal storage power improves compared to pure PCM. By selecting an appropriate directional growth probability, the heat transfer rate can be effectively improved. The complete melting time for a skeleton with the main growth direction in the 1,3 direction is 13.9% shorter than for a homogeneous skeleton. This work provides a theoretical basis and data reference for designing and applying porous skeleton composite PCMs.

Key words: solid-liquid phase change, porous media, Lattice Boltzmann method, skeleton structur

CLC Number:

TK 02

Xiaoqing LI, Yuze FAN, Xiaoyan LIU. Investigation of the effect of skeleton structure on the thermal energy storage performance of solid-liquid phase change using LBM[J]. Energy Storage Science and Technology, 2023, 12(6): 1774-1783.

Figures/Tables 10

Fig. 1

Table 1

Lattice irrelevance validation results"

序号	网格数	$γ$	误差/%
1	60×60	34.73%	—
2	80×80	34.82%	0.26
3	100×100	34.80%	0.20
4	120×120	34.77%	0.12
5	140×140	34.74%	0.03

Table 1

Table 2

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

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Ra	计算结果	文献[31]	相对误差%	文献[32]	相对误差%
1.0×10³	1.483	1.432	3.44	1.424	3.98
1.0×10⁴	1.790	1.768	1.56	1.771	1.06
1.0×10⁵	4.354	4.308	1.06	4.324	0.69
1.0×10⁶	8.352	8.605	3.03	8.597	2.93

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