Simple scale models for daylighting design: Analysis of sources of error in illuminance predictiont

Cannon-Brookes, Stephen

doi:10.1177/14771535970290030901

Cited by 46 publications

(29 citation statements)

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“…a museum). A more recent paper confirmed the earlier studies (Cannon Brookes, 1997), pointing out even other physical parameters, such as maintenance and dirt in the building as contributors to these discrepancies : relative divergences of + 30 to 50 % are cited by all these authors as common figures. Table 2 gives a comprehensive list of potential sources of errors within scale models.…”

Section: Introductionsupporting

confidence: 68%

“…The principal experimental errors occurring during the assessment of building daylighting performance in scale models were identified and quantified on a simple architectural objecta 20 m 2 single office room equipped with a sidelighting window -in order to reduce the overall number of factors usually encountered in buildings (Cannon-Brookes, 1997). A test module designed for purpose of daylighting systems study (cf.…”

Section: Description Of the Test Modulementioning

confidence: 99%

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Comparing daylighting performance assessment of buildings in scale models and test modules

Thanachareonkit

Scartezzini²,

Andersen³

2005

Solar Energy

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Physical models are commonly used to assess daylighting performance of buildings using sky simulators for purpose of research as well as practice. Recent studies have pointed out the general tendency of scale model assessments to overestimate the performance, usually expressed through work plane illuminance and daylight factor profiles, when compared to the real buildings. The cause of the discrepancy between buildings and scale models is due to several sources of experimental errors, such as modelling of building details, mocking-up of surface reflectances and glazing transmittance, as well as photometer features. To analyse the main sources of errors, a comparison of a full scale test module designed for experimentation of daylighting systems and its 1:10 scale model, placed within identical outdoor daylighting conditions, was undertaken. Several physical parameters were studied in order to determine their impact on the daylighting performance assessment. These include the accurate mockingup of surface reflectances, the scale model location, as well as the photometric sensorproperties. The experimental study shows that large discrepancies can occur between the performance figures. They lead, on average, to a relative divergence of + 60 % to + 105 % in favor of the scale model for different points located in the side lit room. Some of these discrepancies were caused by slight differences in surface reflectances and photometer cosine responses. These discrepancies were reduced to a + 30 % to + 35 % relative divergence, by putting in the effort to carefully mock up the geometrical and photometrical features of the test module. This included a sound calibration of photometric sensors, whose cosine-response appeared at the end to be responsible for the remaining relative divergence observed between the daylighting performance figures.

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Section: Introductionsupporting

confidence: 68%

Section: Description Of the Test Modulementioning

confidence: 99%

Comparing daylighting performance assessment of buildings in scale models and test modules

Thanachareonkit

Scartezzini²,

Andersen³

2005

Solar Energy

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“…23 Around this time, the accuracy of physical scale models for daylight assessment was called into question, with validation studies showing large discrepancies between illuminances measured in a scale model and the full-size building under the same conditions. 24 In 2013, the UK Education Funding Agency (EFA) made CBDM a mandatory requirement for the evaluation of designs submitted for the Priority Schools Building Programme (PSBP). School designs submitted to the PSBP must achieve certain 'target' criteria for the useful daylight illuminance metric.…”

Section: Climate-based Daylight Modellingmentioning

confidence: 99%

Daylighting buildings: Standards and the needs of the designer

Tregenza

Mardaljevic

2018

Lighting Research & Technology

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“…Thus, the simulation program can be considered to be capable of very high accuracy, considerably better than anything yet demonstrated for physical (i.e. scale) modelling [9].…”

Section: Filtering the Benchmark Datasetmentioning

confidence: 99%

Sky model blends for predicting internal illuminance: a comparison founded on the BRE-IDMP dataset

Mardaljevic

2008

Journal of Building Performance Simulation

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The BRE-IDMP validation dataset contains simultaneous measurements of sky luminance patterns and internal illuminances in two full-size office spaces. This benchmark dataset has been applied previously to test the illuminance predictions from a lighting simulation program under real sky conditions. Sky luminance patterns were mapped into the lighting simulation so that the absolute accuracy of the program could be evaluated without the uncertainties that are introduced when sky models are used. For this follow-on study, the BRE-IDMP dataset is now used to quantify the divergence between the sky model generated luminance patterns and the actually occurring conditions based on the resulting internal daylight illuminances. The internal illuminances were predicted using three 'narrow-range' models (CIE overcast, CIE clear and intermediate) and the Perez All-Weather model. Predictions from the narrow-range models were used to investigate formulations for sky model blends. The illuminance effect of arbitrary sky model blends is reproduced in a post-process of the illuminance predictions from the 'narrow-range' sky model types. The determination of an optimum sky model blend is described. The findings show that relatively simple blends of just two pure sky models (e.g. CIE overcast and intermediate) may be adequate for the prediction of time-varying illuminances founded on climatic test reference year data.

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Simple scale models for daylighting design: Analysis of sources of error in illuminance predictiont

Cited by 46 publications

References 0 publications

Comparing daylighting performance assessment of buildings in scale models and test modules

Comparing daylighting performance assessment of buildings in scale models and test modules

Daylighting buildings: Standards and the needs of the designer

Sky model blends for predicting internal illuminance: a comparison founded on the BRE-IDMP dataset

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