Towards Energy Analysis and Efficiency for Sustainable Buildings
Energy analysis that leads to energy efficiency becomes one of the most important factors in the building design process, especially considering the current energy crisis and the effects of global warming. Building designers greatly benefited from the review and analysis to optimize energy usage for...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Ital Publication
2023-12-01
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| Series: | Emerging Science Journal |
| Subjects: | |
| Online Access: | https://www.ijournalse.org/index.php/ESJ/article/view/1932 |
| _version_ | 1797356277252227072 |
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| author | Tri B. Kurniawan Deshinta A. Dewi Fathoni Usman Fadly Fadly |
| author_facet | Tri B. Kurniawan Deshinta A. Dewi Fathoni Usman Fadly Fadly |
| author_sort | Tri B. Kurniawan |
| collection | DOAJ |
| description | Energy analysis that leads to energy efficiency becomes one of the most important factors in the building design process, especially considering the current energy crisis and the effects of global warming. Building designers greatly benefited from the review and analysis to optimize energy usage for the building in the design stage. While the current design approach is mostly done manually, this paper presents the automated version using the developed BIM plugin. It eases the designer’s choice of alternative plans that yield an effectively designed building. The development of energy analysis in the application aims to promote energy efficiency by calculating the energy consumption estimation based on energy codes MS2680 and MS1525. This application is improved by a simulation that uses the Building Information Modeling (BIM) platform and extracts the necessary parameters from the BIM model with the aid of the created plugins. This study measured energy consumption and efficiency using the two primary parameters of Overall Thermal Transfer Value (OTTV) and Roof Thermal Transfer Value (RTTV). According to the results, OTTV reaches 42.72% and RTTV reaches 8.02%, both of which respectively meet Malaysian Energy Code limits of less than 50% and 25%.
Doi: 10.28991/ESJ-2023-07-06-022
Full Text: PDF |
| first_indexed | 2024-03-08T14:25:20Z |
| format | Article |
| id | doaj.art-8a8d47c43f0147e897ff0518dc4bc478 |
| institution | Directory Open Access Journal |
| issn | 2610-9182 |
| language | English |
| last_indexed | 2024-03-08T14:25:20Z |
| publishDate | 2023-12-01 |
| publisher | Ital Publication |
| record_format | Article |
| series | Emerging Science Journal |
| spelling | doaj.art-8a8d47c43f0147e897ff0518dc4bc4782024-01-13T07:27:40ZengItal PublicationEmerging Science Journal2610-91822023-12-01762226223810.28991/ESJ-2023-07-06-022587Towards Energy Analysis and Efficiency for Sustainable BuildingsTri B. Kurniawan0Deshinta A. Dewi1Fathoni Usman2Fadly Fadly31) Faculty of Science and Technology, Bina Darma University, Palembang, Indonesia. 2) Faculty of Data Science and Information Technology, INTI International University, Nilai, Malaysia. 3 Faculty of Science and Information System, National University of Malaysia (UKM), Bangi,Faculty of Data Science and Information Technology, INTI International University, Nilai,Institute of Energy Infrastructure, Universiti Tenaga Nasional, Selangor,5Department of Pharmacy, Health Polytechnic of the Ministry of Health Palembang,Energy analysis that leads to energy efficiency becomes one of the most important factors in the building design process, especially considering the current energy crisis and the effects of global warming. Building designers greatly benefited from the review and analysis to optimize energy usage for the building in the design stage. While the current design approach is mostly done manually, this paper presents the automated version using the developed BIM plugin. It eases the designer’s choice of alternative plans that yield an effectively designed building. The development of energy analysis in the application aims to promote energy efficiency by calculating the energy consumption estimation based on energy codes MS2680 and MS1525. This application is improved by a simulation that uses the Building Information Modeling (BIM) platform and extracts the necessary parameters from the BIM model with the aid of the created plugins. This study measured energy consumption and efficiency using the two primary parameters of Overall Thermal Transfer Value (OTTV) and Roof Thermal Transfer Value (RTTV). According to the results, OTTV reaches 42.72% and RTTV reaches 8.02%, both of which respectively meet Malaysian Energy Code limits of less than 50% and 25%. Doi: 10.28991/ESJ-2023-07-06-022 Full Text: PDFhttps://www.ijournalse.org/index.php/ESJ/article/view/1932energy analysisenergy efficiencybuilding information modelingottvrttvsustainable buildingsenergy analysisrevit api. |
| spellingShingle | Tri B. Kurniawan Deshinta A. Dewi Fathoni Usman Fadly Fadly Towards Energy Analysis and Efficiency for Sustainable Buildings Emerging Science Journal energy analysis energy efficiency building information modeling ottv rttv sustainable buildings energy analysis revit api. |
| title | Towards Energy Analysis and Efficiency for Sustainable Buildings |
| title_full | Towards Energy Analysis and Efficiency for Sustainable Buildings |
| title_fullStr | Towards Energy Analysis and Efficiency for Sustainable Buildings |
| title_full_unstemmed | Towards Energy Analysis and Efficiency for Sustainable Buildings |
| title_short | Towards Energy Analysis and Efficiency for Sustainable Buildings |
| title_sort | towards energy analysis and efficiency for sustainable buildings |
| topic | energy analysis energy efficiency building information modeling ottv rttv sustainable buildings energy analysis revit api. |
| url | https://www.ijournalse.org/index.php/ESJ/article/view/1932 |
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