Cited by Breaking new ground: A first-of-its-kind critical analysis of review articles on phase change materials for building applications

A Comprehensive Review of Harnessing the Potential of Phase Change Materials (PCMs) in Energy-Efficient Building Envelopes DOI

Venu Shree, Ankur Dwivedi, Abhishek Saxena

et al.

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111841 - 111841

Published: Jan. 1, 2025

Language: Английский

Citations

Phase change materials: classification, use, phase transitions, and heat transfer enhancement techniques: a comprehensive review DOI

Fatiha Chebli,

Farid Mechighel

Journal of Thermal Analysis and Calorimetry, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 6, 2025

Language: Английский

Citations

A regularized approach for derivative-based numerical solution of non-linearities in phase change static hysteresis modeling DOI

Ramiro Adrián DITTLER,

M. Cecilia Demarchi,

Juan C. Álvarez Hostos

et al.

International Communications in Heat and Mass Transfer, Journal Year: 2025, Volume and Issue: 163, P. 108691 - 108691

Published: Feb. 16, 2025

Language: Английский

Citations

Metal fibers-enhanced PCM thermal energy storage unit: an experimental approach on a composite roof application DOI

Qudama Al-Yasiri, Mohammed Alktranee, Márta Szabó

et al.

International Journal of Thermofluids, Journal Year: 2024, Volume and Issue: 23, P. 100812 - 100812

Published: Aug. 1, 2024

Language: Английский

Citations

Modeling of TES Tanks by Means of CFD Simulation Using Neural Networks DOI

Edgar F. Rojas Cala, Ramón Béjar, Carles Mateu

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(3), P. 511 - 511

Published: Jan. 23, 2025

Modeling of thermal energy storage (TES) tanks with computational fluid dynamics (CFD) tools exhibits limitations that hinder the time, scalability, and standardization procedure. In this study, an innovative technique is proposed to overcome challenges in CFD modeling TES tanks. This study assessed feasibility employing neural networks for tank modeling, evaluating similarities terms structure signal-to-noise ratio by comparing images generated those produced through simulations. The results regarding structural similarity index indicate around 94% obtained have a above 0.9. For ratio, mean value 25 dB, which can be considered acceptable, although indicating room improvement. Additional show our network model obtains best performance when working initial states close stable phase tank. are promising, laying groundwork future pathway could potentially replace current methods used modeling.

Language: Английский

Citations

Editorial: Advances in Heat Transfer Science: Enhanced Techniques for Modern Industrial Applications DOI

Ali Alahmer, Ahmed Al-Manea, Raed Al-Rbaihat

et al.

International Journal of Thermofluids, Journal Year: 2025, Volume and Issue: unknown, P. 101145 - 101145

Published: Feb. 1, 2025

Language: Английский

Citations

Exploring the influence of integrating nano-enhanced phase change material on various solar still systems productivity: A systematic literature review DOI

Zulfiquar N. Ansari,

Nirmal Kushwaha

Desalination, Journal Year: 2025, Volume and Issue: unknown, P. 118851 - 118851

Published: April 1, 2025

Language: Английский

Citations

Polyethylene Glycol-Magnetite Composite Encapsulated Concrete as A Thermal Energy Storage DOI

Achmad Maulana Soehada Sebayang,

Syahrul Humaidi, Timbangen Sembiring

et al.

Results in Materials, Journal Year: 2025, Volume and Issue: unknown, P. 100720 - 100720

Published: April 1, 2025

Language: Английский

Citations

Breaking new ground: A first-of-its-kind critical analysis of review articles on phase change materials for building applications DOI

Abrar Ahmad, Shazim Ali Memon, Hongtao Dang

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 392, P. 125984 - 125984

Published: May 1, 2025

Language: Английский

Citations