BIM-based energy consumption analysis for residential buildings: effects of orientation, size, and type of windows
Abstract Buildings have a significant environmental impact due to their reliance on nonrenewable energy sources. To address this concern, computer software is utilized to estimate building energy requirements. Building Information Modeling (BIM) has emerged as a valuable tool in this process, with B...
| 發表在: | Discover Civil Engineering |
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| Main Authors: | , |
| 格式: | Article |
| 語言: | 英语 |
| 出版: |
Springer
2024-10-01
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| 主題: | |
| 在線閱讀: | https://doi.org/10.1007/s44290-024-00116-5 |
| _version_ | 1849996333767720960 |
|---|---|
| author | Pradnya Jadhav Pravin Minde |
| author_facet | Pradnya Jadhav Pravin Minde |
| author_sort | Pradnya Jadhav |
| collection | DOAJ |
| container_title | Discover Civil Engineering |
| description | Abstract Buildings have a significant environmental impact due to their reliance on nonrenewable energy sources. To address this concern, computer software is utilized to estimate building energy requirements. Building Information Modeling (BIM) has emerged as a valuable tool in this process, with BIM 6D offering a particularly beneficial feature. BIM 6D provides a comprehensive energy model of the building, simulating its actual energy performance. By analyzing natural and artificial lighting systems, particularly daylighting, BIM 6D can assist in optimizing energy efficiency. Despite being underutilized, the potential of this feature to enhance building sustainability is noteworthy. BIM 6D facilitates well-informed design and operational decisions for both new constructions and the renovation of existing buildings. The study examines design criteria such as building orientation, window orientation, size, and type to optimize energy consumption in a bungalow in the Sangli region of Maharashtra, underscoring the importance of energy-efficient buildings to local communities. Energy analysis and optimization are conducted using the Autodesk Insight tool. The methodology involves creating 3D models with Autodesk Revit Architecture software and performing various analyses, including Building Energy Modeling (BEM) simulations, Illuminance Analysis, Solar Access, and Daylight Autonomy assessments. The analysis findings indicate that low-e glass windows of small size and oriented between 0° and 90° significantly enhance energy efficiency under certain conditions, while changing the window type does not affect the analysis. The paper concludes with recommendations for window orientation and size to enhance energy performance in residential buildings, contributing to the broader goal of sustainable and energy-efficient construction practices. This study provides valuable insights for designing energy-efficient residential buildings in rural areas, addressing awareness gaps, and promoting sustainable construction practices. |
| format | Article |
| id | doaj-art-e650ca5a61214de69582502394f697d3 |
| institution | Directory of Open Access Journals |
| issn | 2948-1546 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Springer |
| record_format | Article |
| spelling | doaj-art-e650ca5a61214de69582502394f697d32025-08-20T00:50:43ZengSpringerDiscover Civil Engineering2948-15462024-10-011112010.1007/s44290-024-00116-5BIM-based energy consumption analysis for residential buildings: effects of orientation, size, and type of windowsPradnya Jadhav0Pravin Minde1Dr. Vishwanath Karad, MIT World Peace UniversityDr. Vishwanath Karad, MIT World Peace UniversityAbstract Buildings have a significant environmental impact due to their reliance on nonrenewable energy sources. To address this concern, computer software is utilized to estimate building energy requirements. Building Information Modeling (BIM) has emerged as a valuable tool in this process, with BIM 6D offering a particularly beneficial feature. BIM 6D provides a comprehensive energy model of the building, simulating its actual energy performance. By analyzing natural and artificial lighting systems, particularly daylighting, BIM 6D can assist in optimizing energy efficiency. Despite being underutilized, the potential of this feature to enhance building sustainability is noteworthy. BIM 6D facilitates well-informed design and operational decisions for both new constructions and the renovation of existing buildings. The study examines design criteria such as building orientation, window orientation, size, and type to optimize energy consumption in a bungalow in the Sangli region of Maharashtra, underscoring the importance of energy-efficient buildings to local communities. Energy analysis and optimization are conducted using the Autodesk Insight tool. The methodology involves creating 3D models with Autodesk Revit Architecture software and performing various analyses, including Building Energy Modeling (BEM) simulations, Illuminance Analysis, Solar Access, and Daylight Autonomy assessments. The analysis findings indicate that low-e glass windows of small size and oriented between 0° and 90° significantly enhance energy efficiency under certain conditions, while changing the window type does not affect the analysis. The paper concludes with recommendations for window orientation and size to enhance energy performance in residential buildings, contributing to the broader goal of sustainable and energy-efficient construction practices. This study provides valuable insights for designing energy-efficient residential buildings in rural areas, addressing awareness gaps, and promoting sustainable construction practices.https://doi.org/10.1007/s44290-024-00116-5BIMSustainabilityEnergy analysisResidential building |
| spellingShingle | Pradnya Jadhav Pravin Minde BIM-based energy consumption analysis for residential buildings: effects of orientation, size, and type of windows BIM Sustainability Energy analysis Residential building |
| title | BIM-based energy consumption analysis for residential buildings: effects of orientation, size, and type of windows |
| title_full | BIM-based energy consumption analysis for residential buildings: effects of orientation, size, and type of windows |
| title_fullStr | BIM-based energy consumption analysis for residential buildings: effects of orientation, size, and type of windows |
| title_full_unstemmed | BIM-based energy consumption analysis for residential buildings: effects of orientation, size, and type of windows |
| title_short | BIM-based energy consumption analysis for residential buildings: effects of orientation, size, and type of windows |
| title_sort | bim based energy consumption analysis for residential buildings effects of orientation size and type of windows |
| topic | BIM Sustainability Energy analysis Residential building |
| url | https://doi.org/10.1007/s44290-024-00116-5 |
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