Green retrofitting of building using BIM-based sustainability optimization
The construction industry consumes around 55 percent of Pakistan’s annual energy and is the country’s most energy-intensive sector. It is, therefore, significant to devise a novel and effective model of green retrofitting of current buildings based on Building Information Modelling (BIM) which a...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2024
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| Online Access: | http://journalarticle.ukm.my/25136/ http://journalarticle.ukm.my/25136/1/17.pdf |
| _version_ | 1848816279037673472 |
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| author | Shizra Mughal, Ali Raza Khoso, Haris Najeeb, Muhammad Sufyan Noor Khan, Tauha Hussain Ali, Shabir Hussain Khahro, |
| author_facet | Shizra Mughal, Ali Raza Khoso, Haris Najeeb, Muhammad Sufyan Noor Khan, Tauha Hussain Ali, Shabir Hussain Khahro, |
| author_sort | Shizra Mughal, |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | The construction industry consumes around 55 percent of Pakistan’s annual energy and is the country’s most
energy-intensive sector. It is, therefore, significant to devise a novel and effective model of green retrofitting of
current buildings based on Building Information Modelling (BIM) which aims to reduce building energy consumption
to effectively meet diversified climatic concerns and to promote sustainable structures. This research aims to reform
the existing building by modifying the design parameters for an inefficient building envelope based on BIM simulation
and data optimization results to optimize the overall energy consumption. BIM tools, such as Autodesk Revit and
DesignBuilder have been used for the evaluation of the optimized energy-efficient design by comparing different
design alternatives. After a detailed analysis, this research has concluded that the existing building is consuming a
high amount of annual energy. With the help of BIM tools, which possess advanced algorithms for an effective
optimization process, a list of ‘green’ solutions i.e., optimal designs has been generated, out of which the optimal
and cost-effective design saved 46% of energy in total. In this study, the design variables selection has been
fulfilled according to the local environmental sustainability. |
| first_indexed | 2025-11-15T01:03:21Z |
| format | Article |
| id | oai:generic.eprints.org:25136 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:03:21Z |
| publishDate | 2024 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:251362025-04-18T01:49:24Z http://journalarticle.ukm.my/25136/ Green retrofitting of building using BIM-based sustainability optimization Shizra Mughal, Ali Raza Khoso, Haris Najeeb, Muhammad Sufyan Noor Khan, Tauha Hussain Ali, Shabir Hussain Khahro, The construction industry consumes around 55 percent of Pakistan’s annual energy and is the country’s most energy-intensive sector. It is, therefore, significant to devise a novel and effective model of green retrofitting of current buildings based on Building Information Modelling (BIM) which aims to reduce building energy consumption to effectively meet diversified climatic concerns and to promote sustainable structures. This research aims to reform the existing building by modifying the design parameters for an inefficient building envelope based on BIM simulation and data optimization results to optimize the overall energy consumption. BIM tools, such as Autodesk Revit and DesignBuilder have been used for the evaluation of the optimized energy-efficient design by comparing different design alternatives. After a detailed analysis, this research has concluded that the existing building is consuming a high amount of annual energy. With the help of BIM tools, which possess advanced algorithms for an effective optimization process, a list of ‘green’ solutions i.e., optimal designs has been generated, out of which the optimal and cost-effective design saved 46% of energy in total. In this study, the design variables selection has been fulfilled according to the local environmental sustainability. Penerbit Universiti Kebangsaan Malaysia 2024 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/25136/1/17.pdf Shizra Mughal, and Ali Raza Khoso, and Haris Najeeb, and Muhammad Sufyan Noor Khan, and Tauha Hussain Ali, and Shabir Hussain Khahro, (2024) Green retrofitting of building using BIM-based sustainability optimization. Jurnal Kejuruteraan, 36 (1). pp. 179-189. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-3601-2024 |
| spellingShingle | Shizra Mughal, Ali Raza Khoso, Haris Najeeb, Muhammad Sufyan Noor Khan, Tauha Hussain Ali, Shabir Hussain Khahro, Green retrofitting of building using BIM-based sustainability optimization |
| title | Green retrofitting of building using BIM-based sustainability optimization |
| title_full | Green retrofitting of building using BIM-based sustainability optimization |
| title_fullStr | Green retrofitting of building using BIM-based sustainability optimization |
| title_full_unstemmed | Green retrofitting of building using BIM-based sustainability optimization |
| title_short | Green retrofitting of building using BIM-based sustainability optimization |
| title_sort | green retrofitting of building using bim-based sustainability optimization |
| url | http://journalarticle.ukm.my/25136/ http://journalarticle.ukm.my/25136/ http://journalarticle.ukm.my/25136/1/17.pdf |