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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Main Author: Osama Omar
Format: Article
Language:English
Published: Elsevier 2018-12-01
Series:Alexandria Engineering Journal
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016818300887
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spelling 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
collection DOAJ
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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