Dataset on energy consumption in buildings within tropical climate based on design aspects of courtyardsGithub
Sustainability and energy efficiency have become fundamental objectives for modern society. Green roofs and facades are increasingly recognized as innovative and sustainable strategies to improve the energy performance of buildings. This paper introduces a dataset about buildings thermal performance...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
|
| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235234092500561X |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849343676117942272 |
|---|---|
| author | Abdulbasit Almhafdy Ashjan Al-Mutairi Asma Al-Shargabi Amal Al-Shargabi |
| author_facet | Abdulbasit Almhafdy Ashjan Al-Mutairi Asma Al-Shargabi Amal Al-Shargabi |
| author_sort | Abdulbasit Almhafdy |
| collection | DOAJ |
| description | Sustainability and energy efficiency have become fundamental objectives for modern society. Green roofs and facades are increasingly recognized as innovative and sustainable strategies to improve the energy performance of buildings. This paper introduces a dataset about buildings thermal performance and energy consumption in tropical climate depending on adjacent outdoor enclosed courtyards design features with different architectural shapes U, L, and O. The core data has been collected in public building in Kuala Lumpur, Malaysia. Then it expanded using simulation. The core measured raw data is the temperature and the other data is simulated and/or calculated. The dataset includes detailed design features of courtyards such as plan aspect ratio, number of floors, and orientation. Measurement instruments were calibrated against real-world measurements to ensure accuracy and reliability. The simulated data is tested and validated based on the statistical aspects of the raw data using Pearson correlation coefficient, with a value of 0.882. The dataset includes total 8,685 records across the different courtyard' shapes. This dataset captures intricate relationships between architectural design parameters and energy consumption, making it a valuable resource for architects, engineers, and researchers interested in optimizing building designs for improved energy efficiency. It also allows in-depth analysis and potential reuse in studies related to sustainable architecture and urban planning. |
| format | Article |
| id | doaj-art-d2e26097b9e5437798bbd2eae433812b |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-d2e26097b9e5437798bbd2eae433812b2025-08-20T03:42:53ZengElsevierData in Brief2352-34092025-08-016111183410.1016/j.dib.2025.111834Dataset on energy consumption in buildings within tropical climate based on design aspects of courtyardsGithubAbdulbasit Almhafdy0Ashjan Al-Mutairi1Asma Al-Shargabi2Amal Al-Shargabi3Department of Architecture, College of Architecture and Planning, Qassim University, Buraydah, Saudi ArabiaIndependent Researcher, Riyadh 11461, Saudi ArabiaDepartment of Information Technology, College of Computer, Qassim University, Buraydah, 51452, Saudi Arabia; Corresponding author.Institute of Artificial Intelligence, School of Computer Science and Informatics, De Montfort University, Leicester, LE1 9BH, United KingdomSustainability and energy efficiency have become fundamental objectives for modern society. Green roofs and facades are increasingly recognized as innovative and sustainable strategies to improve the energy performance of buildings. This paper introduces a dataset about buildings thermal performance and energy consumption in tropical climate depending on adjacent outdoor enclosed courtyards design features with different architectural shapes U, L, and O. The core data has been collected in public building in Kuala Lumpur, Malaysia. Then it expanded using simulation. The core measured raw data is the temperature and the other data is simulated and/or calculated. The dataset includes detailed design features of courtyards such as plan aspect ratio, number of floors, and orientation. Measurement instruments were calibrated against real-world measurements to ensure accuracy and reliability. The simulated data is tested and validated based on the statistical aspects of the raw data using Pearson correlation coefficient, with a value of 0.882. The dataset includes total 8,685 records across the different courtyard' shapes. This dataset captures intricate relationships between architectural design parameters and energy consumption, making it a valuable resource for architects, engineers, and researchers interested in optimizing building designs for improved energy efficiency. It also allows in-depth analysis and potential reuse in studies related to sustainable architecture and urban planning.http://www.sciencedirect.com/science/article/pii/S235234092500561XEnergy consumptionSustainable architectural designOptimizationCourtyard designSmart citiesBig data |
| spellingShingle | Abdulbasit Almhafdy Ashjan Al-Mutairi Asma Al-Shargabi Amal Al-Shargabi Dataset on energy consumption in buildings within tropical climate based on design aspects of courtyardsGithub Data in Brief Energy consumption Sustainable architectural design Optimization Courtyard design Smart cities Big data |
| title | Dataset on energy consumption in buildings within tropical climate based on design aspects of courtyardsGithub |
| title_full | Dataset on energy consumption in buildings within tropical climate based on design aspects of courtyardsGithub |
| title_fullStr | Dataset on energy consumption in buildings within tropical climate based on design aspects of courtyardsGithub |
| title_full_unstemmed | Dataset on energy consumption in buildings within tropical climate based on design aspects of courtyardsGithub |
| title_short | Dataset on energy consumption in buildings within tropical climate based on design aspects of courtyardsGithub |
| title_sort | dataset on energy consumption in buildings within tropical climate based on design aspects of courtyardsgithub |
| topic | Energy consumption Sustainable architectural design Optimization Courtyard design Smart cities Big data |
| url | http://www.sciencedirect.com/science/article/pii/S235234092500561X |
| work_keys_str_mv | AT abdulbasitalmhafdy datasetonenergyconsumptioninbuildingswithintropicalclimatebasedondesignaspectsofcourtyardsgithub AT ashjanalmutairi datasetonenergyconsumptioninbuildingswithintropicalclimatebasedondesignaspectsofcourtyardsgithub AT asmaalshargabi datasetonenergyconsumptioninbuildingswithintropicalclimatebasedondesignaspectsofcourtyardsgithub AT amalalshargabi datasetonenergyconsumptioninbuildingswithintropicalclimatebasedondesignaspectsofcourtyardsgithub |