Comparative study of two daylighting analysis methods with regard to window orientation and interior wall reflectance

Yeo Beom Yoon, Rashmi Manandhar, Kwang Ho Lee

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

The accuracy and speed of the daylighting analysis developed for use in EnergyPlus is better than its predecessors. In EnergyPlus, the detailed method uses the Split-flux algorithm whereas the DElight method uses the Radiosity algorithm. Many existing studies have addressed the two methods, either individually or compared with other daylight analysis methods like Ray tracing but still there is lack of detailed comparative study of these two methods. Our previous studies show that the Split-flux method overestimates the illuminance, especially for the areas away from the window. The Radiosity method has the advantage of accurately predicting this illuminance because of how it deals with the diffuse light. For this study, the EnergyPlus model, which has been calibrated using data measured in a real building in previous studies, has also been used. The calibrated model has a south oriented window only. This model is then used to analyze the interior illuminance inside the room for north, west and east orientation of the window by rotating the model and by changing the wall reflectance of the model with south oriented window. Direct and diffuse component of the illuminance as well as the algorithms have been compared for a detailed analysis.

Original languageEnglish
Pages (from-to)5825-5846
Number of pages22
JournalEnergies
Volume7
Issue number9
DOIs
Publication statusPublished - 2014
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2014 by the authors.

Keywords

  • Daylighting algorithm
  • EnergyPlus
  • Illuminance
  • Radiosity method
  • Split-flux method

ASJC Scopus subject areas

  • Control and Optimization
  • Energy (miscellaneous)
  • Engineering (miscellaneous)
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Fuel Technology
  • Renewable Energy, Sustainability and the Environment

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