01614nas a2200169 4500008003900000245009500039210006900134260001200203520102300215100001901238700002201257700001701279700002501296700002501321700002101346856007701367 2006 d00aExperimental Validation of Daylighting Simulation Methods for Complex Fenestration Systems0 aExperimental Validation of Daylighting Simulation Methods for Co c05/20063 a

The objective of this paper is to assess the capability of existing lighting simulation methods to predict the performance of complex fenestration systems, which are becoming a commonly used component in buildings construction domain. A specific experimental protocol was conducted to collect reliable reference data based on illuminance measurements inside a black box with (and without) one complex glazing sample facing a measured external luminance distribution. Two types of simulation methods were tested and compared: The first is based on modeling the glazing sample in a ray-tracing simulation program and the second is based on use of the samples' BTDF data. The BTDF data sets were combined with the external luminance distribution to predict the flux distribution inside the room and the resulting illuminance values at the reference points. The comparison between the experimental reference data and the simulation results showed that the influence of the CFS could be predicted with good accuracy.

1 aMaamari, Fawaz1 aAndersen, Marilyn1 ade Boer, Jan1 aCarroll, William, L.1 aDumortier, Dominique1 aGreenup, Phillip uhttps://facades.lbl.gov/publications/experimental-validation-daylighting01061nas a2200133 4500008004100000050001500041245009100056210006900147260003000216520055200246100002500798700002600823856007800849 2005 eng d aLBNL-5753100aDElight2 Daylighting Analysis in Energy Plus: Integration and Preliminary User Results0 aDElight2 Daylighting Analysis in Energy Plus Integration and Pre aMontreal, Canadac08/20053 a

DElight is a simulation engine for daylight and electric lighting system analysis in buildings. DElight calculates interior illuminance levels from daylight, and the subsequent contribution required from electric lighting to meet a desired interior illuminance. DElight has been specifically designed to integrate with building thermal simulation tools. This paper updates the DElight capability set, the status of integration into the simulation tool EnergyPlus, and describes a sample analysis of a simple model from the user perspective.

1 aCarroll, William, L.1 aHitchcock, Robert, J. uhttps://facades.lbl.gov/publications/delight2-daylighting-analysis-energy01482nas a2200109 4500008004100000050001500041245006300056210006000119520109600179100002501275856007201300 1999 eng d aLBNL-4429600aDaylighting Simulation: Methods, Algorithms, and Resources0 aDaylighting Simulation Methods Algorithms and Resources3 a

The search for and collection of daylighting analysis methods and algorithms led to two important observations. First, there is a wide range of needs for different types of methods to produce a complete analysis tool. These include:

Second, very advantageously, there have been rapid advances in many basic methods in these areas, due to other forces. They are in part driven by:

This has led to a very rich set of information resources that have direct applicability to the small daylighting analysis community. Furthermore, much of this information is in fact available online.

1 aCarroll, William, L. uhttps://facades.lbl.gov/publications/daylighting-simulation-methods01532nas a2200157 4500008004100000050001400041245003300055210003200088260003400120520105600154100001801210700003001228700002501258700002501283856006601308 1994 eng d aLBL-3319200aModeling Windows in DOE 2.1E0 aModeling Windows in DOE 21E aClearwater Beach, FLc12/19923 a

The most recent version of the DOE-2 building energy simulation program, DOE-2.1E, provides for more detailed modeling of the thermal and optical properties of windows. The window calculations account for the temperature effects on U-value, and update the incident angle correlations for the solar heat gain properties and visible transmittance. Initial studies show up to a 30% difference in calculating peak solar heat gain between the detailed approach and a constant shading-coefficient approach. The modeling approach is adapted from Lawrence Berkeley Laboratorys WINDOW 4 computer program, which is used in the National Fenestration Rating Council (NFRC) U-value rating procedure 100-91. This gives DOE-2.1E the capability to assess the annual and peak energy performance of windows consistent with the NFRC procedure. The program has an extensive window library and algorithms for simulating switchable glazings. The program also accounts for the influence of framing elements on the heat transfer and solar heat gain through the window.

1 aReilly, Susan1 aWinkelmann, Frederick, C.1 aArasteh, Dariush, K.1 aCarroll, William, L. uhttps://facades.lbl.gov/publications/modeling-windows-doe-21e