Intelligent building, definitions, factors and evaluation criteria of selection
Intelligent building design is the future of building industries. Most modern public and residential buildings are planned with the objective of decreasing expenses by reducing energy consumption. Enhancing energy preservation strategies and using sustainable design approaches are necessary factors...
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doaj-71d4e383a8c24ea5ab53e73cee5054402021-06-02T03:38:29ZengElsevierAlexandria Engineering Journal1110-01682018-12-0157429032910Intelligent building, definitions, factors and evaluation criteria of selectionOsama Omar0Address: Beirut Arab University, Tareek Gdedah Dr. Omar Farokh Street, P.O. Box: 11-5020, 11072809 Beirut, Lebanon.; Faculty of Architecture, Design and Built Environment, Beirut Arab University, Beirut, LebanonIntelligent building design is the future of building industries. Most modern public and residential buildings are planned with the objective of decreasing expenses by reducing energy consumption. Enhancing energy preservation strategies and using sustainable design approaches are necessary factors in developing this field. However, many definitions of 'intelligent buildings' are vague and don't mirror all the parameters. Because of the lack of practical context inclusive of the factors that regard the design of such systems, a comprehensive framework containing the convoluted criteria is demanded as a decision-making tool. In this research, a multi-criteria framework composed of sixty-eight sub factors on the core level is proposed as a comprehensive tool for the selective categorization of intelligent buildings. On the secondary level, eight quality condition components are considered as primary factors alongside the factors of energy and environment, space flexibility, cost-effectiveness, client comfort, working efficiency, safety, culture, and technology. By the end of this research, the final findings will endorse the usage of intelligent buildings from two points of view: The first includes a multi-criteria model used to define all factors involved in the design process, and the second proposes a conceptual model which aids in reducing the carbon dioxide emissions. Keywords: Smart cities, Sustainability, Energy consumption, Intelligent buildingshttp://www.sciencedirect.com/science/article/pii/S1110016818300887 |
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language |
English |
format |
Article |
sources |
DOAJ |
author |
Osama Omar |
spellingShingle |
Osama Omar Intelligent building, definitions, factors and evaluation criteria of selection Alexandria Engineering Journal |
author_facet |
Osama Omar |
author_sort |
Osama Omar |
title |
Intelligent building, definitions, factors and evaluation criteria of selection |
title_short |
Intelligent building, definitions, factors and evaluation criteria of selection |
title_full |
Intelligent building, definitions, factors and evaluation criteria of selection |
title_fullStr |
Intelligent building, definitions, factors and evaluation criteria of selection |
title_full_unstemmed |
Intelligent building, definitions, factors and evaluation criteria of selection |
title_sort |
intelligent building, definitions, factors and evaluation criteria of selection |
publisher |
Elsevier |
series |
Alexandria Engineering Journal |
issn |
1110-0168 |
publishDate |
2018-12-01 |
description |
Intelligent building design is the future of building industries. Most modern public and residential buildings are planned with the objective of decreasing expenses by reducing energy consumption. Enhancing energy preservation strategies and using sustainable design approaches are necessary factors in developing this field. However, many definitions of 'intelligent buildings' are vague and don't mirror all the parameters. Because of the lack of practical context inclusive of the factors that regard the design of such systems, a comprehensive framework containing the convoluted criteria is demanded as a decision-making tool. In this research, a multi-criteria framework composed of sixty-eight sub factors on the core level is proposed as a comprehensive tool for the selective categorization of intelligent buildings. On the secondary level, eight quality condition components are considered as primary factors alongside the factors of energy and environment, space flexibility, cost-effectiveness, client comfort, working efficiency, safety, culture, and technology. By the end of this research, the final findings will endorse the usage of intelligent buildings from two points of view: The first includes a multi-criteria model used to define all factors involved in the design process, and the second proposes a conceptual model which aids in reducing the carbon dioxide emissions. Keywords: Smart cities, Sustainability, Energy consumption, Intelligent buildings |
url |
http://www.sciencedirect.com/science/article/pii/S1110016818300887 |
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AT osamaomar intelligentbuildingdefinitionsfactorsandevaluationcriteriaofselection |
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