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...

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發表在:Discover Civil Engineering
Main Authors: Pradnya Jadhav, Pravin Minde
格式: Article
語言:英语
出版: Springer 2024-10-01
主題:
在線閱讀:https://doi.org/10.1007/s44290-024-00116-5
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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.
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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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