Dynamic coupling between a Kriging-based daylight model and building energy models

Research output: Contribution to journalArticle

Abstract

Harvesting daylight for improving building energy performance has become an important issue in recent years. Most energy simulation tools use a Daylight Factor (DF) based algorithm to capture the complexity of daylight behaviors. However, DF has a limitation for fully accounting realistic daylight conditions, and several modifications or integrations with other supporting tools were developed to compensate for this limitation. This paper uses the Kriging method to predict daylight conditions for a whole year, and couples this method with energy simulation tools. Kriging is a group of geo-statistical techniques used to interpolate the value of a random field at an unobserved location from discrete observed values at nearby locations. In previous research, the Kriging method showed promising outcomes; that result was significantly better than current daylight modeling in energy simulation tool, and very close to the results from advanced physics-based daylight simulation tool. However, Kriging also comes with certain limitations that require further investigation. One major hurdle was Kriging's long computational time compared to current daylight models in energy simulation tools. For this reason, this paper aims to find possibilities to reduce computational time to realistic levels that can be applicable in practice. Furthermore, it proposes a method to integrate Kriging-based daylight model with an energy simulation tool that can plot hourly indoor light distribution. This proposal obtains more realistic results than current energy simulation daylight models, while reducing computational expense.

Original languageEnglish (US)
Pages (from-to)798-808
Number of pages11
JournalEnergy and Buildings
Volume128
DOIs
StatePublished - Sep 15 2016

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Daylight simulation
Physics

Keywords

  • Building energy
  • Coupling
  • Daylight
  • EnergyPlus
  • Kriging
  • Radiance

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanical Engineering
  • Electrical and Electronic Engineering

Cite this

Dynamic coupling between a Kriging-based daylight model and building energy models. / Yi, Yun Kyu.

In: Energy and Buildings, Vol. 128, 15.09.2016, p. 798-808.

Research output: Contribution to journalArticle

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