Analytical Hierarchical Process (AHP) as a decision-making model for retrofitting ordinary buildings into smart buildings | ||||
| Journal of Engineering Science and Military Technologies | ||||
| Article 2, Volume 5, Issue 2, September 2021, Page 63-69 PDF (1.23 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ejmtc.2022.137802.1219 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Sara Tarek  
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| Department of Architecture Faculty of Engineering Cairo University | ||||
| Abstract | ||||
| The last decades witnessed a rapid digital transformation showing how smart technologies and computational design are rapidly changing buildings, cities, and communities. Transformation of ordinary existing non-smart buildings into smart or semi-smart ones is important, to ensure enhancing the performance of buildings in the structure of smart cities. The presented study aims to identify a model for retrofitting existing ordinary buildings to become smart. The research focuses on smart buildings dimensions and indicators to be applied to existing buildings to make them more intelligent and smarter to be integrated into the smart city context. The research methodology encompasses three parts: a critical literature review for dimensions of smart buildings. Then an analytical approach illustrating case studies for smart retrofitted buildings. In addition to a descriptive-analytical approach that proposes a decision-making model based on Analytical Hierarchical Process (AHP) for retrofitting ordinary buildings into smart ones. Results point out the viability of such transformation in coping with the digital era and identify the necessities in turning ordinary buildings into smart ones to enhance sustainability for cities and communities. | ||||
| Keywords | ||||
| Decision-making; retrofitting; smart buildings; sustainability | ||||
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