2022 State-of-the-Art Researches on Phase Change Materials for Thermal Management
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Thermal Engineering".
Deadline for manuscript submissions: closed (20 December 2022) | Viewed by 6289
Special Issue Editors
Interests: energy efficiency; computational fluid dynamics; exergy analysis; thermodynamic cycles; heat transfer fluids; refrigeration system; supersonic ejectors; vortex tubes
Special Issues, Collections and Topics in MDPI journals
Interests: computational fluid dynamics (CFD); high-performance computing (HPC); multiphase flows; transitional flow; turbulent flow
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Phase change materials (PCM) constitute an attractive option for thermal energy storage due to their high energy storage density and quasi-isothermal power supply. They can be used for thermal management, peak shifting, and align the energy production and demand by coupling with renewable energy-based systems. PCMs are suitable for implementation such as for energy saving in buildings, cooling of electronic devices, batteries, biomedical and industrial processes, and concentrating solar power plants. Efforts are still required to make the use of PCM technologies more attractive to the market: improved thermo-physical properties of PCM by the addition of nanoparticles, testing of their thermal cycling stability, innovative system designs based on multiple PCMs or the addition of fins or foams, leakage prevention by encapsulation, techno-economic feasibility and optimization, control strategies, etc. This Special Issue aims to publish research and review papers to address these mentioned aspects.
Prof. Dr. Sébastien Poncet
Dr. Mostafa Safdari Shadloo
Guest Editors
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Keywords
- nano-phase change materials
- micro-encapsulated PCMs
- slurries (ice or hydrate)
- thermal energy storage
- solar, building, industrial, biomedical applications
- material development and thermophysical characterization
- advanced numerical modelling
- artificial-intelligence-based model
- analytical model
- techno-economic optimization
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