An Innovative Multi-Story Trombe Wall as a Passive Cooling and Heating Technique in Hot Climate Regions: A Simulation-Optimization Study

This study develops an optimized multi-story Trombe Wall (MTW) as a hybrid passive system for heating, cooling, and PV electricity generation. Unlike previous research, which focused on single-story applications and heating efficiency, this study explores MTW performance in hot climates. The methodology includes four phases: identifying TW design parameters, selecting and validating a case study, applying a two-stage optimization, and developing predictive equations. Results show that the MTW achieves up to a 1.94 °C decrease in cooling mode, a 1.56 °C increase in heating mode, a 40% increase in thermal comfort hours, and a 31% rise in annual PV electricity generation. Finally, the developed regression models demonstrated strong predictive capability (R2 = 70.2–95.73%) for discomfort and electricity generation. The proposed MTW provides a cost-effective and sustainable solution, supporting designers and researchers in optimizing building performance.

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Publication Details

Journal
Buildings
Published
2025-04-01
DOI
https://doi.org/10.3390/buildings15071150
Citations
3
Primary Topic
Solar Energy Systems and Technologies
Type
article
Field-Weighted Citation Impact
2.14

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article

An Innovative Multi-Story Trombe Wall as a Passive Cooling and Heating Technique in Hot Climate Regions: A Simulation-Optimization Study

Hamdy Abo Ali Hassan, Hatem Mahmoud, Takashi Asawa, Hassan Shokry et al.
3 citations
Buildings
Solar Energy Systems and Technologies
2.14
article

An Innovative Multi-Story Trombe Wall as a Passive Cooling and Heating Technique in Hot Climate Regions: A Simulation-Optimization Study

Hamdy Abo Ali Hassan, Hatem Mahmoud, Takashi Asawa, Hassan Shokry, Ahmed S. Abdel-Samea
article en
3 citations

Abstract

This study develops an optimized multi-story Trombe Wall (MTW) as a hybrid passive system for heating, cooling, and PV electricity generation. Unlike previous research, which focused on single-story applications and heating efficiency, this study explores MTW performance in hot climates. The methodology includes four phases: identifying TW design parameters, selecting and validating a case study, applying a two-stage optimization, and developing predictive equations. Results show that the MTW achieves up to a 1.94 °C decrease in cooling mode, a 1.56 °C increase in heating mode, a 40% increase in thermal comfort hours, and a 31% rise in annual PV electricity generation. Finally, the developed regression models demonstrated strong predictive capability (R2 = 70.2–95.73%) for discomfort and electricity generation. The proposed MTW provides a cost-effective and sustainable solution, supporting designers and researchers in optimizing building performance.

BuildingsVol. 15(7)
Tokyo Institute of Technology (JP), Egypt-Japan University of Science and Technology (EG), Aswan University (EG), Assiut University (EG)
Egypt-Japan University of Science and Technology
Openalex Percentile: Top 15%
Solar Energy Systems and Technologies
2.14
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