Optimal configuration of architectural building design parameters for higher educational buildings
In architectural building design, finding an equilibrium between energy consumption and thermal comfort poses a challenge due to their inherent conflict. To effectively incorporate both aspects, their integration into the decision-making process is crucial. This study demonstrates the optimization o...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723012064 |
| _version_ | 1797378665647964160 |
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| author | Salah Alghamdi Waiching Tang Sittimont Kanjanabootra Dariusz Alterman |
| author_facet | Salah Alghamdi Waiching Tang Sittimont Kanjanabootra Dariusz Alterman |
| author_sort | Salah Alghamdi |
| collection | DOAJ |
| description | In architectural building design, finding an equilibrium between energy consumption and thermal comfort poses a challenge due to their inherent conflict. To effectively incorporate both aspects, their integration into the decision-making process is crucial. This study demonstrates the optimization of architectural building design parameters for a single-story educational building within a warm temperate climate in New South Wales, Australia. A meticulous validation process was undertaken using the Monte Carlo approach and scrutinizing 2,000 distinct scenarios for each parameter. This validation compared simulation outcomes with field-measured data, confirming the model’s prediction accuracy. The optimization endeavour employed the non-dominated sorting genetic algorithm to facilitate multiobjective optimization , working with the Pareto front solution. When compared with the baseline building simulation model, the optimized architectural design parameter configuration yields significant reductions of up to 24% in total EC and up to 16.5% in thermal discomfort hours. |
| first_indexed | 2024-03-08T20:10:57Z |
| format | Article |
| id | doaj.art-3a4f4673bdb342e2b541519365e6d54b |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-08T20:10:57Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-3a4f4673bdb342e2b541519365e6d54b2023-12-23T05:21:29ZengElsevierEnergy Reports2352-48472023-11-011019251942Optimal configuration of architectural building design parameters for higher educational buildingsSalah Alghamdi0Waiching Tang1Sittimont Kanjanabootra2Dariusz Alterman3Department of Building Engineering, College of Architecture and Planning, Imam Abdulrahman Bin Faisal University, Dammam 31451, Saudi ArabiaSchool of Architecture and Built Environment, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; Corresponding author.School of Architecture and Built Environment, The University of Newcastle, University Drive, Callaghan, NSW 2308, AustraliaSchool of Science, Technology and Engineering, The University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Qld 4556, AustraliaIn architectural building design, finding an equilibrium between energy consumption and thermal comfort poses a challenge due to their inherent conflict. To effectively incorporate both aspects, their integration into the decision-making process is crucial. This study demonstrates the optimization of architectural building design parameters for a single-story educational building within a warm temperate climate in New South Wales, Australia. A meticulous validation process was undertaken using the Monte Carlo approach and scrutinizing 2,000 distinct scenarios for each parameter. This validation compared simulation outcomes with field-measured data, confirming the model’s prediction accuracy. The optimization endeavour employed the non-dominated sorting genetic algorithm to facilitate multiobjective optimization , working with the Pareto front solution. When compared with the baseline building simulation model, the optimized architectural design parameter configuration yields significant reductions of up to 24% in total EC and up to 16.5% in thermal discomfort hours.http://www.sciencedirect.com/science/article/pii/S2352484723012064Thermal comfortEnergy consumptionOptimizationEducational buildings |
| spellingShingle | Salah Alghamdi Waiching Tang Sittimont Kanjanabootra Dariusz Alterman Optimal configuration of architectural building design parameters for higher educational buildings Energy Reports Thermal comfort Energy consumption Optimization Educational buildings |
| title | Optimal configuration of architectural building design parameters for higher educational buildings |
| title_full | Optimal configuration of architectural building design parameters for higher educational buildings |
| title_fullStr | Optimal configuration of architectural building design parameters for higher educational buildings |
| title_full_unstemmed | Optimal configuration of architectural building design parameters for higher educational buildings |
| title_short | Optimal configuration of architectural building design parameters for higher educational buildings |
| title_sort | optimal configuration of architectural building design parameters for higher educational buildings |
| topic | Thermal comfort Energy consumption Optimization Educational buildings |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723012064 |
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