BibTex RIS Kaynak Göster
Yıl 2018, Cilt: 3 Sayı: 2, 39 - 53, 01.04.2018

Öz

Kaynakça

  • So Albert,T.P, Wong Alvin,C.W and Wong, K-c, 1999. A new definition of intelligent building for Asia. Facilities, Vol. 17, N° 12/13,p 485-491.
  • Sinopoli,J, 2010.Smart Building Systems for Architects, Owners, and Builders. p 231.
  • Pat So,A.T and Chan,W.L, 1999.Intelligent Building Systems. p 175.
  • Raji,B, Maria,M.V, Mehdi,S, Clements,C.D,2016. The development of building assessment criteria framework forsustainable non-residential buildings in Saudi Arabia. Sustainable Cities and Society, p 289-305.
  • Zhen,C, Clements,C.D, Hong, J, Heng,L, Qian,X, 2006. A Review of Quantitative Approaches to Intelligent Building Assessment. Renewable Energy Resources and a Greener Future, Vol.VIII-6-2. p8.
  • Zhen,C, Clements,C.D, Hong,J, Heng,L, Qian,X, 2006. A multicriteria lifespan energy efficiency approach to intelligent building assessment. Energy and Buildings 38. p 393-409.
  • Albert,T.P. So and Wong, K.C.2005. On the Quantitative Assessment of Intelligent Buildings. Continental Automated Buildings Association, Information Series. p 26.
  • Leonard, K.H, Andrew,Y.T, 2005. New ıntellıgent buıldıng ındex for buıldıngs around the world – a quantıtatıve approach ın buıldıng assessment experıence wıth HongKong tallest buıldıng, two ınternatıonal fınance centers. The 2005 World Sustainable Building Conference, Tokyo, p 2302-2309.
  • Kolokotsa, D,Sutherland, G, Stavrakakis, G, Karatassou, S. and Santamouris, M.2007. A matrix tool for assessing the performance of intelligent buildings. Management of Environmental Quality: An International Journal, Vol. 18. p 36-49.
  • Fantana,G.L, 2013. MATOOL solution in evaluating smart buildings. Proceedings of the 2013 International Conference on Systems, Control and Informatics. p 251-255.
  • Katz,D, Thomas, M.K, 2008. CABA's Intelligent Building Programs. ACEEE Summer Study on Energy Efficiency in Buildings. p 67-74.
  • Show-Ling, W, 2014. From Intelligent Green Building to Smart Green City- Taiwan’s strategy. Asia Pacific Intelligent Green Building Alliance Conference, p 128-156.
  • Abdin,A.R, Magda,B.A, 2010. Intelligent Architecture between Technology and Environment.First International Conference on Sustainability and the Future FISC. P 13.
  • Amamata,Z,Faizah,M.B. and Yunus,Y.B, 2014. Are Smart Buildings Same as Green Certified Buildings? A Comparative Analysis. International Journal of Scientific and Research Publications, Vol 4.p 5.
  • Reffat,R, 2010. Integrating Intelligent Building Technologies: A Means for Fostering Sustainability. Technology and Sustainability in the Built Environment, Saudi Arabia. p 459-478.
  • Cetkovic, A, 2016. The (not so) Intelligent Building. Going Digital 2016, Serbia.p 17.
  • Khasro, A. O, Franco, D.J. and Sumarni, I, 2016. Smart Buildings, A New Environment (Theoretical Approach).
  • International Journal of Engineering Technology, Management and Applied Sciences, Vol 4.p 5.
  • Boychenko, K, 2017, Benefits of interactive environment in public space design. International Scientific Journal “Internauka”. p 7.
  • Bier, H, 2012. Interactive Building. Advances in Internet of Things. p 86-90.
  • Gadakari, T, Mushatat, S and Newman, R, 2014. Intelligent Buildings: Key to Achieving Total Sustainability in the Built Environment. Journal of Engineering, Project, and Production Management. p 16. Mohammad,F, Peyman,A, 2006. Developing a conceptual model for the assessment of intelligence in buildings. Facilities, Vol. 24 No. 13/14. p 523-537.
  • Clements,C.D, AL Waer.H, Key Performance Indicators (KPIs) and priority setting in using the multi- attribute approach for intelligent buildings (IBs). Transformation through Construction, p 17.

THE MAIN INDICATORS FOR THE ASSESSMENT OF SMART BUILDINGS PERFORMANCE: CASE OF THE CYBER PARC OF ALGIERS

Yıl 2018, Cilt: 3 Sayı: 2, 39 - 53, 01.04.2018

Öz

The advent of digital technologies in architecture marked a turning point in the evolution of the needs of society and led to a radical change in the design, production and exploitation process of architectural projects; giving rise to new paradigm called smart building. This concept refers to all advanced technologies and integrated systems and responds to technological, environmental and economic challenges while offering a wide range of services to users by providing them comfort, safety and security. In developing countries, particularly in Algeria, many construction projects defined by high energy efficiency and fitted with automated systems have been planned in order to accelerate the transition of the country towards an economy of knowledge and technology. However, these projects remain confined to limited places and face obstacles which can be explained by the lack of national method approved by the state that supposed to provide information and recommendations to the architects and engineers during the design, production and operation of smart buildings. This research aims to interpret the current definitions of smart building and identify their requirements in order to develop new platforms that could be useful as a reference framework for the design, evaluation and development of future smart buildings. The study examines the nature and contribution of assessment tools of smart buildings performance and identifies and analyses key indicators to assess their degree of intelligence. An analysis of a representative sample for technological buildings in the cyber parc of Algiers was carried out to identify all the key elements covering environmental, socio-cultural, economic and technological indicators taking into account the user's well-being. The research's results show that the requirements of smart buildings are not only limited to the integration of technological systems of information and communication but include others such as environmental, socio-cultural and economic indicators. Finally, a conclusion summarizing the main results obtained is presented by developing a practical model for the assessment of the degree of intelligence of buildings, and prospects for future work are proposed

Kaynakça

  • So Albert,T.P, Wong Alvin,C.W and Wong, K-c, 1999. A new definition of intelligent building for Asia. Facilities, Vol. 17, N° 12/13,p 485-491.
  • Sinopoli,J, 2010.Smart Building Systems for Architects, Owners, and Builders. p 231.
  • Pat So,A.T and Chan,W.L, 1999.Intelligent Building Systems. p 175.
  • Raji,B, Maria,M.V, Mehdi,S, Clements,C.D,2016. The development of building assessment criteria framework forsustainable non-residential buildings in Saudi Arabia. Sustainable Cities and Society, p 289-305.
  • Zhen,C, Clements,C.D, Hong, J, Heng,L, Qian,X, 2006. A Review of Quantitative Approaches to Intelligent Building Assessment. Renewable Energy Resources and a Greener Future, Vol.VIII-6-2. p8.
  • Zhen,C, Clements,C.D, Hong,J, Heng,L, Qian,X, 2006. A multicriteria lifespan energy efficiency approach to intelligent building assessment. Energy and Buildings 38. p 393-409.
  • Albert,T.P. So and Wong, K.C.2005. On the Quantitative Assessment of Intelligent Buildings. Continental Automated Buildings Association, Information Series. p 26.
  • Leonard, K.H, Andrew,Y.T, 2005. New ıntellıgent buıldıng ındex for buıldıngs around the world – a quantıtatıve approach ın buıldıng assessment experıence wıth HongKong tallest buıldıng, two ınternatıonal fınance centers. The 2005 World Sustainable Building Conference, Tokyo, p 2302-2309.
  • Kolokotsa, D,Sutherland, G, Stavrakakis, G, Karatassou, S. and Santamouris, M.2007. A matrix tool for assessing the performance of intelligent buildings. Management of Environmental Quality: An International Journal, Vol. 18. p 36-49.
  • Fantana,G.L, 2013. MATOOL solution in evaluating smart buildings. Proceedings of the 2013 International Conference on Systems, Control and Informatics. p 251-255.
  • Katz,D, Thomas, M.K, 2008. CABA's Intelligent Building Programs. ACEEE Summer Study on Energy Efficiency in Buildings. p 67-74.
  • Show-Ling, W, 2014. From Intelligent Green Building to Smart Green City- Taiwan’s strategy. Asia Pacific Intelligent Green Building Alliance Conference, p 128-156.
  • Abdin,A.R, Magda,B.A, 2010. Intelligent Architecture between Technology and Environment.First International Conference on Sustainability and the Future FISC. P 13.
  • Amamata,Z,Faizah,M.B. and Yunus,Y.B, 2014. Are Smart Buildings Same as Green Certified Buildings? A Comparative Analysis. International Journal of Scientific and Research Publications, Vol 4.p 5.
  • Reffat,R, 2010. Integrating Intelligent Building Technologies: A Means for Fostering Sustainability. Technology and Sustainability in the Built Environment, Saudi Arabia. p 459-478.
  • Cetkovic, A, 2016. The (not so) Intelligent Building. Going Digital 2016, Serbia.p 17.
  • Khasro, A. O, Franco, D.J. and Sumarni, I, 2016. Smart Buildings, A New Environment (Theoretical Approach).
  • International Journal of Engineering Technology, Management and Applied Sciences, Vol 4.p 5.
  • Boychenko, K, 2017, Benefits of interactive environment in public space design. International Scientific Journal “Internauka”. p 7.
  • Bier, H, 2012. Interactive Building. Advances in Internet of Things. p 86-90.
  • Gadakari, T, Mushatat, S and Newman, R, 2014. Intelligent Buildings: Key to Achieving Total Sustainability in the Built Environment. Journal of Engineering, Project, and Production Management. p 16. Mohammad,F, Peyman,A, 2006. Developing a conceptual model for the assessment of intelligence in buildings. Facilities, Vol. 24 No. 13/14. p 523-537.
  • Clements,C.D, AL Waer.H, Key Performance Indicators (KPIs) and priority setting in using the multi- attribute approach for intelligent buildings (IBs). Transformation through Construction, p 17.
Toplam 22 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Research Article
Yazarlar

Laraba Meryem Bu kişi benim

Derradjı Mohamed Bu kişi benim

Kıhal Ghanıa Bu kişi benim

Yayımlanma Tarihi 1 Nisan 2018
Yayımlandığı Sayı Yıl 2018 Cilt: 3 Sayı: 2

Kaynak Göster

APA Meryem, L., Mohamed, D., & Ghanıa, K. (2018). THE MAIN INDICATORS FOR THE ASSESSMENT OF SMART BUILDINGS PERFORMANCE: CASE OF THE CYBER PARC OF ALGIERS. International Journal of Architecture and Urban Studies, 3(2), 39-53.
AMA Meryem L, Mohamed D, Ghanıa K. THE MAIN INDICATORS FOR THE ASSESSMENT OF SMART BUILDINGS PERFORMANCE: CASE OF THE CYBER PARC OF ALGIERS. International Journal of Architecture and Urban Studies. Nisan 2018;3(2):39-53.
Chicago Meryem, Laraba, Derradjı Mohamed, ve Kıhal Ghanıa. “THE MAIN INDICATORS FOR THE ASSESSMENT OF SMART BUILDINGS PERFORMANCE: CASE OF THE CYBER PARC OF ALGIERS”. International Journal of Architecture and Urban Studies 3, sy. 2 (Nisan 2018): 39-53.
EndNote Meryem L, Mohamed D, Ghanıa K (01 Nisan 2018) THE MAIN INDICATORS FOR THE ASSESSMENT OF SMART BUILDINGS PERFORMANCE: CASE OF THE CYBER PARC OF ALGIERS. International Journal of Architecture and Urban Studies 3 2 39–53.
IEEE L. Meryem, D. Mohamed, ve K. Ghanıa, “THE MAIN INDICATORS FOR THE ASSESSMENT OF SMART BUILDINGS PERFORMANCE: CASE OF THE CYBER PARC OF ALGIERS”, International Journal of Architecture and Urban Studies, c. 3, sy. 2, ss. 39–53, 2018.
ISNAD Meryem, Laraba vd. “THE MAIN INDICATORS FOR THE ASSESSMENT OF SMART BUILDINGS PERFORMANCE: CASE OF THE CYBER PARC OF ALGIERS”. International Journal of Architecture and Urban Studies 3/2 (Nisan 2018), 39-53.
JAMA Meryem L, Mohamed D, Ghanıa K. THE MAIN INDICATORS FOR THE ASSESSMENT OF SMART BUILDINGS PERFORMANCE: CASE OF THE CYBER PARC OF ALGIERS. International Journal of Architecture and Urban Studies. 2018;3:39–53.
MLA Meryem, Laraba vd. “THE MAIN INDICATORS FOR THE ASSESSMENT OF SMART BUILDINGS PERFORMANCE: CASE OF THE CYBER PARC OF ALGIERS”. International Journal of Architecture and Urban Studies, c. 3, sy. 2, 2018, ss. 39-53.
Vancouver Meryem L, Mohamed D, Ghanıa K. THE MAIN INDICATORS FOR THE ASSESSMENT OF SMART BUILDINGS PERFORMANCE: CASE OF THE CYBER PARC OF ALGIERS. International Journal of Architecture and Urban Studies. 2018;3(2):39-53.