Next Article in Journal
Renewable Substitutability Index: Maximizing Renewable Resource Use in Buildings
Next Article in Special Issue
Simulating Performance Risk for Lighting Retrofit Decisions
Previous Article in Journal
Using Life Cycle Assessment to Inform Decision-Making for Sustainable Buildings
Previous Article in Special Issue
Comparing Whole Building Energy Implications of Sidelighting Systems with Alternate Manual Blind Control Algorithms
Article Menu

Export Article

Open AccessArticle
Buildings 2015, 5(2), 560-580; doi:10.3390/buildings5020560

Daylight Design of Office Buildings: Optimisation of External Solar Shadings by Using Combined Simulation Methods

Faculty of Architecture, Design and Planning, The University of Sydney, 148 City Road, Sydney 2006, Australia
*
Author to whom correspondence should be addressed.
Academic Editor: Richard Mistrick
Received: 5 February 2015 / Accepted: 14 May 2015 / Published: 21 May 2015
(This article belongs to the Special Issue Advancements in Daylighting in Buildings)
View Full-Text   |   Download PDF [1654 KB, uploaded 21 May 2015]   |  

Abstract

Integrating daylight and energy performance with optimization into the design process has always been a challenge for designers. Most of the building environmental performance simulation tools require a considerable amount of time and iterations for achieving accurate results. Moreover the combination of daylight and energy performances has always been an issue, as different software packages are needed to perform detailed calculations. A simplified method to overcome both issues using recent advances in software integration is explored here. As a case study; the optimization of external shadings in a typical office space in Australia is presented. Results are compared against common solutions adopted as industry standard practices. Visual comfort and energy efficiency are analysed in an integrated approach. The DIVA (Design, Iterate, Validate and Adapt) plug-in for Rhinoceros/Grasshopper software is used as the main tool, given its ability to effectively calculate daylight metrics (using the Radiance/Daysim engine) and energy consumption (using the EnergyPlus engine). The optimization process is carried out parametrically controlling the shadings’ geometries. Genetic Algorithms (GA) embedded in the evolutionary solver Galapagos are adopted in order to achieve close to optimum results by controlling iteration parameters. The optimized result, in comparison with conventional design techniques, reveals significant enhancement of comfort levels and energy efficiency. Benefits and drawbacks of the proposed strategy are then discussed. View Full-Text
Keywords: daylight modelling; daylighting metrics; evolutionary optimization; Genetic Algorithms (GA); external shadings; performance driven design daylight modelling; daylighting metrics; evolutionary optimization; Genetic Algorithms (GA); external shadings; performance driven 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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

González, J.; Fiorito, F. Daylight Design of Office Buildings: Optimisation of External Solar Shadings by Using Combined Simulation Methods. Buildings 2015, 5, 560-580.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Buildings EISSN 2075-5309 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top