Author
Listed:
- Xu, Yang
- He, Chen
- Chen, Yang
- Sun, Yu
- Yin, Hang
- Zheng, Zhang-Jing
Abstract
The complete melting and solidification time of the phase change thermal storage system is one of the key performance parameters. However, the phase change material (PCM) has the weakness of poor heat transfer properties. Furthermore, PCM has different heat transfer mechanisms during melting and solidification. Therefore, this paper proposes the intelligent memory metal fin for the square cavity phase change thermal storage unit to enhance PCM melting and solidification process. This study uses a combination of numerical calculations as well as experimental studies. The structure of the intelligent memory metal fin is optimized. The experimental results show 28.6% reduction in the complete melting time of the PCM using the intelligent memory metal fin compared to the use of the straight fin. In addition, the simulations are validated experimentally to improve the accuracy of the numerical simulations. The simulation results show that the melting and solidification time decreases with the increase in the length of the intelligent memory metal fin. Compared with the fin dimensionless length of 0.75, the complete melting and solidification time at 0.95 are reduced by 34.14% and 28.27%, respectively. However, as the fin length increases during the melting process, the percentage increase in efficiency decreases. The complete melting time decreases by 17.9% and 4.2% for fin lengths from 0.8 to 0.85 and 0.85 to 0.9. Considering the amount of fin and the amount of PCM, the optimum fin dimensionless length for this model is 0.85. Variations in fin deflection affect the melting process of the PCM. The complete melting time is reduced by 4.6% and increased by 1% when the fin deflection goes from 0.6 to 0.7 and 0.7 to 0.8, respectively. Hence, there is an optimum deflection for the intelligent memory metal fin deformation process to obtain the fastest melting rate. The optimum fin deflection for this simulation is a dimensionless deflection of 0.7.
Suggested Citation
Xu, Yang & He, Chen & Chen, Yang & Sun, Yu & Yin, Hang & Zheng, Zhang-Jing, 2023.
"Experimental and numerical study on the effect of the intelligent memory metal fin on the melting and solidification process of PCM,"
Renewable Energy, Elsevier, vol. 218(C).
Handle:
RePEc:eee:renene:v:218:y:2023:i:c:s0960148123012818
DOI: 10.1016/j.renene.2023.119366
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:218:y:2023:i:c:s0960148123012818. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.