Multi-objective optimization of office building envelopes properties and Venetian blinds using NSGA-II to save energy consumption and enhance thermal and visual comfort
Since the building industry has grown to be a significant energy user, offering practical solutions can aid in addressing this significant problem. Windows are among the most crucial architectural elements since they let in the majority of the natural light that enters the structure. On the one hand...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Case Studies in Thermal Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X24015156 |
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| author | Peng liu Abdullah Abed Hussein As'ad Alizadeh Mohammadreza Baghoolizadeh Gongxing Yan Mahmood Zargari pour Tamim Alkhalifah |
| author_facet | Peng liu Abdullah Abed Hussein As'ad Alizadeh Mohammadreza Baghoolizadeh Gongxing Yan Mahmood Zargari pour Tamim Alkhalifah |
| author_sort | Peng liu |
| collection | DOAJ |
| description | Since the building industry has grown to be a significant energy user, offering practical solutions can aid in addressing this significant problem. Windows are among the most crucial architectural elements since they let in the majority of the natural light that enters the structure. On the one hand, improper window and associated component design causes the space to overheat and consume more energy; on the other hand, it compromises the inhabitants of the building's thermal and visual comfort. This research presents a novel method for multi-objective optimization of control parameters for smart shade curtains and architectural standards. By using this suggested method, building energy consumption is significantly reduced and thermal and visual comfort are improved. EnergyPlus software is used to run simulations about energy. Subsequently, JEPLUS software has considered 28 design aspects, such as hour groove angle, building cover requirements, material dimensions and specifications, control techniques and adjustment points, and shading position and direction. These simulations are run for nine cities with varying climates in four distinct geographic orientations throughout the year. The program JEPLUS + EA is utilized for data improvement. To extract the ideal points on the Pareto front, the data is optimized using the NSGA-II algorithm. The optimization findings indicate that the inner curtain outperforms the outside curtain. Additionally, the visual comfort improves with a narrower slat angle (SA), but the illumination requires more power. The multi-objective optimization of the controlled blind characteristics yielded results that, depending on the building's geographical orientation, reduced the building's overall energy consumption by 4–30 % annually while improving thermal and visual comfort, with ranges of 64–11 % and 60–81 %, respectively. |
| format | Article |
| id | doaj-art-c8c019ff40d4440cb20e65d124c6b125 |
| institution | Kabale University |
| issn | 2214-157X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj-art-c8c019ff40d4440cb20e65d124c6b1252024-12-07T08:26:45ZengElsevierCase Studies in Thermal Engineering2214-157X2024-12-0164105484Multi-objective optimization of office building envelopes properties and Venetian blinds using NSGA-II to save energy consumption and enhance thermal and visual comfortPeng liu0Abdullah Abed Hussein1As'ad Alizadeh2Mohammadreza Baghoolizadeh3Gongxing Yan4Mahmood Zargari pour5Tamim Alkhalifah6School of Intelligent Construction, Luzhou Vocational and Technical College, Luzhou 646000, Sichuan, China; Luzhou Key Laboratory of Intelligent Construction and Low-carbon Technology, Luzhou 646000, Sichuan, ChinaAl Manara College for Medical Sciences, Maysan, IraqDepartment of Civil Engineering, College of Engineering, Cihan University-Erbil, Erbil, Iraq; Corresponding author.Department of Mechanical Engineering, Shahrekord University, Shahrekord 88186-34141, Iran; Corresponding author.School of Intelligent Construction, Luzhou Vocational and Technical College, Luzhou 646000, Sichuan, China; Luzhou Key Laboratory of Intelligent Construction and Low-carbon Technology, Luzhou 646000, Sichuan, China; Corresponding author. School of Intelligent Construction, Luzhou Vocational and Technical College, Luzhou 646000, Sichuan, China.Department of Architecture, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr, IranDepartment of Computer Engineering, College of Computer, Qassim University, Buraydah, Saudi ArabiaSince the building industry has grown to be a significant energy user, offering practical solutions can aid in addressing this significant problem. Windows are among the most crucial architectural elements since they let in the majority of the natural light that enters the structure. On the one hand, improper window and associated component design causes the space to overheat and consume more energy; on the other hand, it compromises the inhabitants of the building's thermal and visual comfort. This research presents a novel method for multi-objective optimization of control parameters for smart shade curtains and architectural standards. By using this suggested method, building energy consumption is significantly reduced and thermal and visual comfort are improved. EnergyPlus software is used to run simulations about energy. Subsequently, JEPLUS software has considered 28 design aspects, such as hour groove angle, building cover requirements, material dimensions and specifications, control techniques and adjustment points, and shading position and direction. These simulations are run for nine cities with varying climates in four distinct geographic orientations throughout the year. The program JEPLUS + EA is utilized for data improvement. To extract the ideal points on the Pareto front, the data is optimized using the NSGA-II algorithm. The optimization findings indicate that the inner curtain outperforms the outside curtain. Additionally, the visual comfort improves with a narrower slat angle (SA), but the illumination requires more power. The multi-objective optimization of the controlled blind characteristics yielded results that, depending on the building's geographical orientation, reduced the building's overall energy consumption by 4–30 % annually while improving thermal and visual comfort, with ranges of 64–11 % and 60–81 %, respectively.http://www.sciencedirect.com/science/article/pii/S2214157X24015156OptimizationMulti-objectiveEnergy consumption;Simulation |
| spellingShingle | Peng liu Abdullah Abed Hussein As'ad Alizadeh Mohammadreza Baghoolizadeh Gongxing Yan Mahmood Zargari pour Tamim Alkhalifah Multi-objective optimization of office building envelopes properties and Venetian blinds using NSGA-II to save energy consumption and enhance thermal and visual comfort Case Studies in Thermal Engineering Optimization Multi-objective Energy consumption; Simulation |
| title | Multi-objective optimization of office building envelopes properties and Venetian blinds using NSGA-II to save energy consumption and enhance thermal and visual comfort |
| title_full | Multi-objective optimization of office building envelopes properties and Venetian blinds using NSGA-II to save energy consumption and enhance thermal and visual comfort |
| title_fullStr | Multi-objective optimization of office building envelopes properties and Venetian blinds using NSGA-II to save energy consumption and enhance thermal and visual comfort |
| title_full_unstemmed | Multi-objective optimization of office building envelopes properties and Venetian blinds using NSGA-II to save energy consumption and enhance thermal and visual comfort |
| title_short | Multi-objective optimization of office building envelopes properties and Venetian blinds using NSGA-II to save energy consumption and enhance thermal and visual comfort |
| title_sort | multi objective optimization of office building envelopes properties and venetian blinds using nsga ii to save energy consumption and enhance thermal and visual comfort |
| topic | Optimization Multi-objective Energy consumption; Simulation |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X24015156 |
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