Thermal resistance capacity model for the cold release characteristics of cemented paste backfill with phase change materials
Mei Wang,
Shiyue Shang,
Lang Liu,
Yu Wang and
Chao Huan
Renewable Energy, 2024, vol. 222, issue C
Abstract:
A new method based on thermal resistance and capacity (RC) network model for fast predicting cold release characteristics of the cemented paste backfill with phase change materials is developed. The simplified heat transfer calculation model was established, and temperature variation was calculated by MATLAB. The RC model and program were validated by experimental results and numerical heat transfer simulations. Based on the verified RC model, the influence law of the initial ice-water ratio and slurry concentration were analyzed. With the increase of initial ice-water ratio and the decrease of slurry concentration, the cooling ability was enhanced and the cold release process was extended. Furthermore, the cemented paste backfill with ice and paraffin were compared. The cooling release effect of slurry containing ice grains was better than that of slurry containing paraffin throughout the melting process. Compared with the numerical heat transfer simulation method, RC model can effectively improve the calculation efficiency under the premise of satisfying the accuracy. This study is of great significance in providing a timely forecast of the cold release characteristics of the cemented paste backfill with phase change materials in engineering design and practice.
Keywords: Thermal resistance capacity model; Phase change; Transient heat transfer; Simplified heat transfer calculation (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148123018281
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:222:y:2024:i:c:s0960148123018281
DOI: 10.1016/j.renene.2023.119913
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().