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

被引:0
作者
Abdelsamea, Ahmed [1 ,2 ]
Hassan, Hamdy [3 ,4 ]
Shokry, Hassan [1 ]
Asawa, Takashi [5 ]
Mahmoud, Hatem [1 ,6 ]
机构
[1] Egypt Japan Univ Sci & Technol, Dept Environm Engn, New Borg El Arab City 21934, Egypt
[2] Assiut Univ, Engn Fac, Dept Architecture Engn, Assiut 71515, Egypt
[3] Egypt Japan Univ Sci & Technol E JUST, Dept Energy Resources, New Borg El Arab City 21934, Egypt
[4] Assiut Univ, Fac Engn, Mech Power Engn Dept, Assiut 71515, Egypt
[5] Tokyo Inst Technol, Sch Environm & Soc, Dept Architecture & Bldg Engn, Yokohama 2268501, Japan
[6] Aswan Univ, Engn Fac, Dept Architecture Engn, Aswan 81542, Egypt
关键词
thermal comfort; energy efficiency; optimization; sustainability; hot climate; PERFORMANCE ANALYSIS; THERMAL PERFORMANCE; SYSTEM; ENERGY; BEHAVIOR; DESIGN;
D O I
10.3390/buildings15071150
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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 degrees C decrease in cooling mode, a 1.56 degrees 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.
引用
收藏
页数:36
相关论文
共 72 条
[21]   Numerical algorithms for generating an almost even approximation of the Pareto front in nonlinear multi-objective optimization problems [J].
Dolatnezhadsomarin, Azam ;
Khorram, Esmaile ;
Yousefikhoshbakht, Majid .
APPLIED SOFT COMPUTING, 2024, 165
[22]   Study and analysis of air flow characteristics in Trombe wall [J].
Du, Li ;
Ping, Lin ;
Yongming, Chen .
RENEWABLE ENERGY, 2020, 162 :234-241
[23]   Hybrid cooling system integrating PCM-desiccant dehumidification and personal evaporative cooling for hot and humid climates [J].
El Loubani, Mohamad ;
Ghaddar, Nesreen ;
Ghali, Kamel ;
Itani, Mariam .
JOURNAL OF BUILDING ENGINEERING, 2021, 33 (33)
[24]  
El-Samea A.M.A., 2020, Architecture and Urbanism: A Smart Outlook, P121
[25]   The energy savings achieved by various Trombe solar wall enhancement techniques for heating and cooling applications: A detailed review [J].
Elsaid, Ashraf Mimi ;
Hashem, Fathia A. ;
Mohamed, Hany A. ;
Ahmed, M. Salem .
SOLAR ENERGY MATERIALS AND SOLAR CELLS, 2023, 254
[26]  
Fahmy M., 2016, Int. J. Sci. Eng. Res, V7, P790
[27]   CFD analysis of the impact of air gap width on Trombe wall performance [J].
Friji, Khaoula ;
Ghriss, Ons ;
Bouabidi, Abdallah ;
Cuce, Erdem ;
Alshahrani, Saad .
ENERGY SCIENCE & ENGINEERING, 2024, 12 (10) :4598-4612
[28]  
Guideline A., 2014, ASHRAE Guide, V4, P1
[29]   The thermal behavior of Trombe wall system with venetian blind: An experimental and numerical study [J].
He, Wei ;
Hu, Zhongting ;
Luo, Bingqing ;
Hong, Xiaoqiang ;
Sun, Wei ;
Ji, Jie .
ENERGY AND BUILDINGS, 2015, 104 :395-404
[30]   A review on the application of Trombe wall system in buildings [J].
Hu, Zhongting ;
He, Wei ;
Ji, Jie ;
Zhang, Shengyao .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 70 :976-987