Next Article in Journal
An Efficiently Decoupled Implicit Method for Complex Natural Gas Pipeline Network Simulation
Previous Article in Journal
A Simplified Model of Coaxial, Multilayer High-Temperature Superconducting Power Cables with Cu Formers for Transient Studies
Open AccessArticle

Integrating Parametric Analysis with Building Information Modeling to Improve Energy Performance of Construction Projects

1
Program de Engenharia Ambiental, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, Brazil
2
School of Computing, Engineering and Mathematics, Western Sydney University, Penrith, NSW 2751, Australia
3
School of Computing, Engineering and Mathematics, Western Sydney University, Penrith, NSW 2751, Australia
4
Faculty of Built Environment, New South Wales University, Sydney, NSW 2052, Australia
*
Authors to whom correspondence should be addressed.
Energies 2019, 12(8), 1515; https://doi.org/10.3390/en12081515
Received: 27 March 2019 / Revised: 4 April 2019 / Accepted: 9 April 2019 / Published: 22 April 2019
(This article belongs to the Section Energy and Buildings)
  |  
PDF [2680 KB, uploaded 22 April 2019]
  |  

Abstract

Buildings demand a significant amount of energy during their life cycles, hence, effective design measures need to be adopted to ensure efficient energy usage and management in buildings. This study proposes a framework based on various performance parameters to enable decision-makers utilizing standard procedures and software to empower the process of sustainable energy use and management in buildings, through a parametric analysis in different climatic conditions. Experimental design is adopted within the framework via the use of various performance parameters related to the building design (i.e., construction materials for exterior walls and roofs, as well as a set of window-to-wall ratios). Results indicate that climate data plays a fundamental role in the choice of design factors that are best suited for effective energy consumption in buildings. In particular, sub-type climate classifications, as opposed to the primary climate group, have a minor influence. Around 15% improvement in the energy consumption in buildings is noticed due to changes to the design factor such as the window-to-wall ratio. Insights that can be gleaned from this study include the impact of space area, exterior openings and material thickness and choice for the envelope of the building in all climate classifications, aiding in the design of low-energy buildings. View Full-Text
Keywords: energy in buildings; building management; building information modeling; sustainable construction; experimental design energy in buildings; building management; building information modeling; sustainable construction; experimental design
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

Najjar, M.K.; Tam, V.W.Y.; Di Gregorio, L.T.; Evangelista, A.C.J.; Hammad, A.W.A.; Haddad, A. Integrating Parametric Analysis with Building Information Modeling to Improve Energy Performance of Construction Projects. Energies 2019, 12, 1515.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top