Assessment of the building components in the energy efficient design of tropical residential buildings: An application of BIM and statistical Taguchi method

Aidin Nobahar Sadeghifam, Mahdi Moharrami Meynagh, Sanaz Tabatabaee, Amir Mahdiyar, Ashkan Memari and Syuhaida Ismail

Energy, 2019, vol. 188, issue C

Abstract: With the growing energy and economic crises, the need for optimization of energy consumption in the design and construction of buildings has recently become even more significant. This study aimed to determine the best combinations of building-envelope materials with the consideration of influential and uncontrollable factors for energy-efficient design in Malaysia. Residential buildings in Malaysia consume a significant amount of electrical energy for air-conditioning purposes. A typical one-storey terrace house was selected as a case study, and building information modeling (BIM) applications were used to simulate its energy performance. The selected case study was modeled using the Autodesk Revit Software and exported to the EnergyPlus software for energy analysis. In order to optimize the number of examinations in the simulation software, the effect of noise factors was assessed using the Taguchi method. The current energy-consumption patterns were identified and converted into the optimized options in component types. The results of this novel approach provide appropriate information about the performance of the modified energy-efficient material in building components with consideration of noise factors to achieve more reliable outcomes. It was concluded that the appropriate selection of ceiling, window, wall, roof, and floor components could greatly increase energy efficiency in descending order.

Keywords: BIM applications; Energy efficiency; Taguchi method; Building materials; Residential buildings (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S036054421931775X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:188:y:2019:i:c:s036054421931775x

DOI: 10.1016/j.energy.2019.116080

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().