Integrating Parametric Analysis with Building Information Modeling to Improve Energy Performance of Construction Projects
Buildings demand a significant amount of energy during their life cycles, hence, effective design measures need to be adopted to ensure efficient energy usage and management in buildings. This study proposes a framework based on various performance parameters to enable decision-makers utilizing stan...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-04-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/12/8/1515 |
| _version_ | 1811307280676683776 |
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| author | Mohammad K. Najjar Vivian W. Y. Tam Leandro Torres Di Gregorio Ana Catarina Jorge Evangelista Ahmed W. A. Hammad Assed Haddad |
| author_facet | Mohammad K. Najjar Vivian W. Y. Tam Leandro Torres Di Gregorio Ana Catarina Jorge Evangelista Ahmed W. A. Hammad Assed Haddad |
| author_sort | Mohammad K. Najjar |
| collection | DOAJ |
| description | Buildings demand a significant amount of energy during their life cycles, hence, effective design measures need to be adopted to ensure efficient energy usage and management in buildings. This study proposes a framework based on various performance parameters to enable decision-makers utilizing standard procedures and software to empower the process of sustainable energy use and management in buildings, through a parametric analysis in different climatic conditions. Experimental design is adopted within the framework via the use of various performance parameters related to the building design (i.e., construction materials for exterior walls and roofs, as well as a set of window-to-wall ratios). Results indicate that climate data plays a fundamental role in the choice of design factors that are best suited for effective energy consumption in buildings. In particular, sub-type climate classifications, as opposed to the primary climate group, have a minor influence. Around 15% improvement in the energy consumption in buildings is noticed due to changes to the design factor such as the window-to-wall ratio. Insights that can be gleaned from this study include the impact of space area, exterior openings and material thickness and choice for the envelope of the building in all climate classifications, aiding in the design of low-energy buildings. |
| first_indexed | 2024-04-13T09:01:45Z |
| format | Article |
| id | doaj.art-075c0355033345609c83413798907467 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T09:01:45Z |
| publishDate | 2019-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-075c0355033345609c834137989074672022-12-22T02:53:07ZengMDPI AGEnergies1996-10732019-04-01128151510.3390/en12081515en12081515Integrating Parametric Analysis with Building Information Modeling to Improve Energy Performance of Construction ProjectsMohammad K. Najjar0Vivian W. Y. Tam1Leandro Torres Di Gregorio2Ana Catarina Jorge Evangelista3Ahmed W. A. Hammad4Assed Haddad5Program de Engenharia Ambiental, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, BrazilSchool of Computing, Engineering and Mathematics, Western Sydney University, Penrith, NSW 2751, AustraliaProgram de Engenharia Ambiental, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, BrazilSchool of Computing, Engineering and Mathematics, Western Sydney University, Penrith, NSW 2751, AustraliaFaculty of Built Environment, New South Wales University, Sydney, NSW 2052, AustraliaProgram de Engenharia Ambiental, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, BrazilBuildings demand a significant amount of energy during their life cycles, hence, effective design measures need to be adopted to ensure efficient energy usage and management in buildings. This study proposes a framework based on various performance parameters to enable decision-makers utilizing standard procedures and software to empower the process of sustainable energy use and management in buildings, through a parametric analysis in different climatic conditions. Experimental design is adopted within the framework via the use of various performance parameters related to the building design (i.e., construction materials for exterior walls and roofs, as well as a set of window-to-wall ratios). Results indicate that climate data plays a fundamental role in the choice of design factors that are best suited for effective energy consumption in buildings. In particular, sub-type climate classifications, as opposed to the primary climate group, have a minor influence. Around 15% improvement in the energy consumption in buildings is noticed due to changes to the design factor such as the window-to-wall ratio. Insights that can be gleaned from this study include the impact of space area, exterior openings and material thickness and choice for the envelope of the building in all climate classifications, aiding in the design of low-energy buildings.https://www.mdpi.com/1996-1073/12/8/1515energy in buildingsbuilding managementbuilding information modelingsustainable constructionexperimental design |
| spellingShingle | Mohammad K. Najjar Vivian W. Y. Tam Leandro Torres Di Gregorio Ana Catarina Jorge Evangelista Ahmed W. A. Hammad Assed Haddad Integrating Parametric Analysis with Building Information Modeling to Improve Energy Performance of Construction Projects Energies energy in buildings building management building information modeling sustainable construction experimental design |
| title | Integrating Parametric Analysis with Building Information Modeling to Improve Energy Performance of Construction Projects |
| title_full | Integrating Parametric Analysis with Building Information Modeling to Improve Energy Performance of Construction Projects |
| title_fullStr | Integrating Parametric Analysis with Building Information Modeling to Improve Energy Performance of Construction Projects |
| title_full_unstemmed | Integrating Parametric Analysis with Building Information Modeling to Improve Energy Performance of Construction Projects |
| title_short | Integrating Parametric Analysis with Building Information Modeling to Improve Energy Performance of Construction Projects |
| title_sort | integrating parametric analysis with building information modeling to improve energy performance of construction projects |
| topic | energy in buildings building management building information modeling sustainable construction experimental design |
| url | https://www.mdpi.com/1996-1073/12/8/1515 |
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