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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235234092500561X |
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| Summary: | 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. |
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| ISSN: | 2352-3409 |