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Methods for adaptive behaviors satisfaction assessment with energy efficient building design

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  • Shafaghat, Arezou
  • Keyvanfar, Ali
  • Abd. Majid, Muhd Zaimi
  • Lamit, Hasanuddin Bin
  • Ahmad, Mohd Hamdan
  • Ferwati, Mohamed Salim
  • Ghoshal, Sib Krishna

Abstract

Efficient and accurate methods and models are ever-demanding to determining the user satisfaction in energy efficient buildings. Thus, several techniques are developed based on sustainable building assessment tools and standards to achieve such target. However, the user satisfaction from adaptive behavior in the design phase of buildings lifecycle is never addressed. This paper attempts to identify the most applicable data input method to measure the satisfaction from adaptive behavior with energy efficient buildings in their design phase. A comprehensive literature survey on all user satisfaction data input methods is conducted to serve the taxonomy by classifying them into two major clusters depending on performance and perception. Kano method to measure satisfaction perception from cognitive experience is demonstrated to be the most suitable user satisfaction data input method. Furthermore, Kano method can delicately assist energy efficient building design consultants to assess the user contentment requirements for sustainable building accreditation effectively.

Suggested Citation

  • Shafaghat, Arezou & Keyvanfar, Ali & Abd. Majid, Muhd Zaimi & Lamit, Hasanuddin Bin & Ahmad, Mohd Hamdan & Ferwati, Mohamed Salim & Ghoshal, Sib Krishna, 2016. "Methods for adaptive behaviors satisfaction assessment with energy efficient building design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 250-259.
    • Handle: RePEc:eee:rensus:v:57:y:2016:i:c:p:250-259
    DOI: 10.1016/j.rser.2015.12.133
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    References listed on IDEAS

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    1. Loveday, D. L. & Virk, G. S., 1992. "Artificial intelligence for buildings," Applied Energy, Elsevier, vol. 41(3), pages 201-221.
    2. Chung, William, 2011. "Review of building energy-use performance benchmarking methodologies," Applied Energy, Elsevier, vol. 88(5), pages 1470-1479, May.
    3. Taleghani, Mohammad & Tenpierik, Martin & Kurvers, Stanley & van den Dobbelsteen, Andy, 2013. "A review into thermal comfort in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 201-215.
    4. Jasper Mbachu & Raymond Nkado, 2006. "Conceptual framework for assessment of client needs and satisfaction in the building development process," Construction Management and Economics, Taylor & Francis Journals, vol. 24(1), pages 31-44.
    5. Chowdhury, Ashfaque Ahmed & Rasul, M.G. & Khan, M.M.K., 2008. "Thermal-comfort analysis and simulation for various low-energy cooling-technologies applied to an office building in a subtropical climate," Applied Energy, Elsevier, vol. 85(6), pages 449-462, June.
    6. David Lorenz & Thomas Lützkendorf, 2008. "Sustainability in property valuation: theory and practice," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 26(6), pages 482-521, September.
    7. Yu, Zhun (Jerry) & Haghighat, Fariborz & Fung, Benjamin C.M. & Morofsky, Edward & Yoshino, Hiroshi, 2011. "A methodology for identifying and improving occupant behavior in residential buildings," Energy, Elsevier, vol. 36(11), pages 6596-6608.
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    2. Minyoung Kwon & Hilde Remøy & Andy Van den Dobbelsteen & Ulrich Knaack, 2017. "User-focused design factors of workspace for nearly zero energy office renovation: findings from literature review," ERES eres2017_275, European Real Estate Society (ERES).
    3. Jam Shahzaib Khan & Rozana Zakaria & Siti Mazzuana Shamsudin & Nur Izie Adiana Abidin & Shaza Rina Sahamir & Darul Nafis Abbas & Eeydzah Aminudin, 2019. "Evolution to Emergence of Green Buildings: A Review," Administrative Sciences, MDPI, vol. 9(1), pages 1-20, January.
    4. Lee, Junghun & Kim, Jeonggook & Song, Doosam & Kim, Jonghun & Jang, Cheolyong, 2017. "Impact of external insulation and internal thermal density upon energy consumption of buildings in a temperate climate with four distinct seasons," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1081-1088.

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