| Issue |
E3S Web Conf.
Volume 680, 2025
The 4th International Conference on Energy and Green Computing (ICEGC’2025)
|
|
|---|---|---|
| Article Number | 00142 | |
| Number of page(s) | 17 | |
| DOI | https://doi.org/10.1051/e3sconf/202568000142 | |
| Published online | 19 December 2025 | |
Thermal Performance Enhancement of Double-Slope Solar Still Using Phase Change Material: Numerical Investigation and Energy Analysis under Casablanca Climatic Conditions
1 Laboratory of Modeling and Simulation of Intelligent Industrial Systems (M2S2I), ENSET Mohammadia, Hassan II University of Casablanca, Morocco.
2 Electrical Engineering and Intelligent Systems (IESI), ENSET Mohammadia, Hassan II University of Casablanca, Morocco.
* Corresponding author: asmaa.aitbaha1994@gmail.com
This study presents a comprehensive numerical investigation of a double-slope solar still integrated with phase change material (PCM) under the Mediterranean climate of Casablanca. A five-node transient thermal model was developed using Python, incorporating detailed geometrical parameters (1.0 m² basin area, 0.05 m water depth, 0.02 m PCM thickness, 33° glass inclination) and validated heat transfer correlations. The model simulated 24-hour operation for both conventional and PCM-enhanced configurations using meteorological data from peak solar intensity days.
Results demonstrate that paraffin wax PCM (melting point 60°C) effectively regulates thermal dynamics, reducing peak water temperature by 13°C from 89°C to 76°C while maintaining operational stability. The PCM exhibited a 14-hour phase transition cycle, enabling significant thermal energy time-shifting that increased overall daily productivity by 10.5% from 3.8 to 4.2 kg/m². Most notably, nocturnal distillate yield increased by 180%, extending productive operation from 12 to 18 hours daily and shifting 28% of total evaporative energy to post-sunset periods compared to only 8% in conventional operation.
The study provides validated evidence that simple PCM integration transforms solar stills from intermittent to continuous producers, offering enhanced reliability for remote applications. The computational framework establishes a robust foundation for optimizing PCM-based thermal storage in solar desalination systems, demonstrating practical pathways for performance improvement without mechanical complexity.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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