Machine learning-based predicting of PCM-integrated building thermal performance: An application under various weather conditions in Morocco DOI
Kaoutar Jraida, Youness El Mghouchi, Amina Mourid

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 96, P. 110395 - 110395

Published: Aug. 10, 2024

Language: Английский

Investigation of multifactorial effects on the thermal performance of battery pack inserted with multi-layer phase change materials DOI

Zhuang Kang,

Qingguo Peng, Ruixue Yin

et al.

Energy, Journal Year: 2024, Volume and Issue: 290, P. 130164 - 130164

Published: Jan. 2, 2024

Language: Английский

Citations

15
Recent Advances and Developments in Phase Change Materials in High-Temperature Building Envelopes: A Review of Solutions and Challenges DOI Creative Commons
Farhan Lafta Rashid, Anmar Dulaimi, Wadhah Amer Hatem

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(6), P. 1582 - 1582

Published: May 30, 2024

The use of phase change materials (PCMs) has become an increasingly common way to reduce a building’s energy usage when added the building envelope. This developing technology demonstrated improvements in thermal comfort and efficiency, making it viable solution. current study intends provide comprehensive review published studies on utilization PCMs various constructions energy-efficient roofs, walls, ceilings. research question holds massive potential unlock pioneering solutions for maximizing usefulness reducing cooling demands, especially challenging high-temperature environments. Several issues with have been revealed, most significant which is their reduced effectiveness during day due high summer temperatures, preventing them from crystallizing at night. However, this investigates how can delay peak temperature time, number hours indoor exceeds range. Additionally, improve efficiency by mitigating need systems hours. Thus, selecting right PCM temperatures both critical challenging. Insulation density, specific heat, conductivity all play role heat transfer under extreme conditions. introduces several quantification techniques paves future advancements accommodate practical technical related materials.

Language: Английский

Citations

13
Experimental and numerical estimation of thermal conductivity of bio-based building composite materials with an enhanced thermal capacity DOI Creative Commons
Piotr Łapka, Fabian Dietrich, Piotr Furmański

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 97, P. 112943 - 112943

Published: July 18, 2024

The paper tackles the important problem of estimating and predicting thermal conductivity bio-based building materials that can help decarbonize sector. Knowledge possibility to optimize their insulating properties is first criterion for determining ability use in novel yet not well-studied hemp shives magnesium binder composites with improved mass by microencapsulated phase change material (PCM) were considered. samples without PCM having different densities as well amounts same density manufactured tested experimentally states, i.e., dry after conditioning at relative humidity (RH) 50, 75, 90 %, case also average measurement temperatures selected respect range PCM. A method composites' effective tensor was developed. based on numerical solution heat conduction equation micro-scale considering real composite microstructure. tuned using micro-computed tomography (μCT) data microstructure then applied predict conductivities PCM, utilizing computational domains an artificially distributed binder. experimental testing revealed apparent effect increasing rising sample RH during conditioning. With increase from 394 576 kg/m3, varied 0.105 0.159 W/m/K state 0.157 0.241 %. similar observed which had highest conductivity, equal 0.265 W/m/K, lowest amount Moreover, a decrease fraction observed, except fraction, it increased. It rose temperature. developed micro-scale-based allowed accuracies below 4.1 7.2 % respectively, behaved differently. Thus, its suitability designing optimizing shown.

Language: Английский

Citations

6
Optimizing of coupled phase change materials and liquid cooling thermal management for Li-ion battery pack DOI

Zhuang Kang,

Xiaoyuan Wang, Ruixue Yin

et al.

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 126508 - 126508

Published: April 1, 2025

Language: Английский

Citations

0
The role of Roof Angle and Geographic Location on the Thermal Performance of Buildings DOI Creative Commons
Ali Habeeb Askar, Issa Omle, Endre Kovács

et al.

International Journal of Thermofluids, Journal Year: 2025, Volume and Issue: unknown, P. 101192 - 101192

Published: March 1, 2025

Language: Английский

Citations

0
XGBoost-Based Prediction of Heat and Mass Transfer in Phase Change Systems: Insights from ISPH Simulation and Parameter Sensitivity Analysis DOI Creative Commons

Kuiyu Cheng,

Amal A. Aly,

Munirah Alotaibi

et al.

Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 106262 - 106262

Published: May 1, 2025

Language: Английский

Citations

0
Machine learning-based predicting of PCM-integrated building thermal performance: An application under various weather conditions in Morocco DOI
Kaoutar Jraida, Youness El Mghouchi, Amina Mourid

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 96, P. 110395 - 110395

Published: Aug. 10, 2024

Language: Английский

Citations

2