ANN/BIM-based model for predicting the energy cost of residential buildings in Saudi Arabia
This paper introduces a novel conceptual system to predict the energy cost of residential buildings in the Kingdom of Saudi Arabia (KSA). The paper briefly describes the main models of the developed system to maintain continuity and focuses on the energy cost prediction model. The developed system a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2017-11-01
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| Series: | Journal of Taibah University for Science |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1658365517300584 |
| _version_ | 1811327237456134144 |
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| author | Adel Alshibani Othman Subhi Alshamrani |
| author_facet | Adel Alshibani Othman Subhi Alshamrani |
| author_sort | Adel Alshibani |
| collection | DOAJ |
| description | This paper introduces a novel conceptual system to predict the energy cost of residential buildings in the Kingdom of Saudi Arabia (KSA). The paper briefly describes the main models of the developed system to maintain continuity and focuses on the energy cost prediction model. The developed system aims to assist architects in designing residential buildings to minimise energy costs under Saudi Arabian environmental conditions. The system was built based on data collected from house owners in six cities in the eastern province of KSA. The initial results of validating the model demonstrate the systemâs capabilities in assisting architects in the selection of the optimum architectural design. Keywords: ANN, BIM, cost, energy, prediction, Saudi Arabia, optimum |
| first_indexed | 2024-04-13T15:04:11Z |
| format | Article |
| id | doaj.art-3d7b574ff4184daa9096a8a9663e0613 |
| institution | Directory Open Access Journal |
| issn | 1658-3655 |
| language | English |
| last_indexed | 2024-04-13T15:04:11Z |
| publishDate | 2017-11-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Taibah University for Science |
| spelling | doaj.art-3d7b574ff4184daa9096a8a9663e06132022-12-22T02:42:13ZengTaylor & Francis GroupJournal of Taibah University for Science1658-36552017-11-0111613171329ANN/BIM-based model for predicting the energy cost of residential buildings in Saudi ArabiaAdel Alshibani0Othman Subhi Alshamrani1Department of Architectural Engineering, King Fahd University of petroleum and mineral, Dhahran, 31261, Saudi Arabia; Corresponding author.Department of Building Engineering, College of Architecture and Planning, University of Dammam, PO Box 2379, Dammam 31451, Saudi ArabiaThis paper introduces a novel conceptual system to predict the energy cost of residential buildings in the Kingdom of Saudi Arabia (KSA). The paper briefly describes the main models of the developed system to maintain continuity and focuses on the energy cost prediction model. The developed system aims to assist architects in designing residential buildings to minimise energy costs under Saudi Arabian environmental conditions. The system was built based on data collected from house owners in six cities in the eastern province of KSA. The initial results of validating the model demonstrate the systemâs capabilities in assisting architects in the selection of the optimum architectural design. Keywords: ANN, BIM, cost, energy, prediction, Saudi Arabia, optimumhttp://www.sciencedirect.com/science/article/pii/S1658365517300584 |
| spellingShingle | Adel Alshibani Othman Subhi Alshamrani ANN/BIM-based model for predicting the energy cost of residential buildings in Saudi Arabia Journal of Taibah University for Science |
| title | ANN/BIM-based model for predicting the energy cost of residential buildings in Saudi Arabia |
| title_full | ANN/BIM-based model for predicting the energy cost of residential buildings in Saudi Arabia |
| title_fullStr | ANN/BIM-based model for predicting the energy cost of residential buildings in Saudi Arabia |
| title_full_unstemmed | ANN/BIM-based model for predicting the energy cost of residential buildings in Saudi Arabia |
| title_short | ANN/BIM-based model for predicting the energy cost of residential buildings in Saudi Arabia |
| title_sort | ann bim based model for predicting the energy cost of residential buildings in saudi arabia |
| url | http://www.sciencedirect.com/science/article/pii/S1658365517300584 |
| work_keys_str_mv | AT adelalshibani annbimbasedmodelforpredictingtheenergycostofresidentialbuildingsinsaudiarabia AT othmansubhialshamrani annbimbasedmodelforpredictingtheenergycostofresidentialbuildingsinsaudiarabia |