Abstract
The efficiency of a building's envelope significantly influences its ability to conserve energy and minimize carbon emissions, especially in residential structures. This research investigates how different envelope design features affect energy use in an arid climate. A residential house in Bahrain served as the case study, with simulations conducted using IESVE energy modeling software. The analysis explored the influence of various envelope components and operational variables. Among the strategies assessed, incorporating 50 mm of expanded polystyrene insulation into external walls emerged as the most effective method for reducing energy demand in Bahrain's climate. Furthermore, the findings demonstrated that the g-value of windows has a greater effect on reducing solar heat transfer compared to the U-value.
| Original language | English |
|---|---|
| Title of host publication | 2024 International Conference on Decision Aid Sciences and Applications, DASA 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350369106 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 2024 International Conference on Decision Aid Sciences and Applications, DASA 2024 - Manama, Bahrain Duration: Dec 11 2024 → Dec 12 2024 |
Publication series
| Name | 2024 International Conference on Decision Aid Sciences and Applications, DASA 2024 |
|---|
Conference
| Conference | 2024 International Conference on Decision Aid Sciences and Applications, DASA 2024 |
|---|---|
| Country/Territory | Bahrain |
| City | Manama |
| Period | 12/11/24 → 12/12/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
Keywords
- Building envelope
- Cooling load
- Hot climate
- Insulation
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
- Decision Sciences (miscellaneous)
- Information Systems and Management
- Control and Optimization
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