Sky luminance distribution in Pamplona (Spain) during the summer period

Torres, José Luis; Blas, M. De; Garcı́a, A.; Gracia, Álvaro de; Francisco, A. de

doi:10.1016/j.jastp.2009.12.005

Cited by 27 publications

(16 citation statements)

References 10 publications

(17 reference statements)

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“…It potentially increases the chance of measurement errors. However, sky luminance distribution can often be characterized by certain luminance gradation pattern (Ferraro et al, 2011;Perez et al, 1993;Torres et al, 2010). With the utilization of content-aware image post-processing that takes into account of the sky luminance gradation, reasonably close reconstructions of the blocked sky were expected and verified in the study.…”

Section: Acquisition Of the Sky Luminance Distributionmentioning

confidence: 64%

“…Research on the SC modeling has mainly focused on understanding the pattern of the sky luminance distribution and linking the sky model in simulations to real-world sky conditions (Ferraro et al, 2011;Ng et al, 2007;Perez et al, 1993;Torres et al, 2010). While these studies demonstrate a great variety of the sky luminance distribution in fine spatial resolution, their experiments also indicate the need of a new sky mapping system for daylight simulation.…”

Section: Introductionmentioning

confidence: 99%

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An HDRi-based data acquisition system for the exterior luminous environment in the daylight simulation model

Chiou

Huang

2015

Solar Energy

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Section: Acquisition Of the Sky Luminance Distributionmentioning

confidence: 64%

Section: Introductionmentioning

confidence: 99%

An HDRi-based data acquisition system for the exterior luminous environment in the daylight simulation model

Chiou

Huang

2015

Solar Energy

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“…Nevertheless, the coefficients K and X scaling Equation (9) are most probably site dependent, so they have to be determined for each local atmosphere separately. The MS concept introduced here profits from the simple formulation, thus being easily implementable into other daylight models.…”

Section: Discussionmentioning

confidence: 99%

Blurring the boundaries between Standard General Sky types due to multiple scattering of light

Kocifaj

2012

Lighting Research & Technology

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The diffuse light reaching the ground varies with instantaneous physical state of the atmosphere, specifically with atmospheric turbidity, vertical stratification of attenuating and scattering constituents, cloud coverage and many others. Despite this complexity, a set of empirical models based on so-called homogeneous sky types is widely used to simulate the real lighting conditions. However, the sky type classification can be influenced by multiple scattering of light. Even if multiple scattering is essentially important under low elevation angles and high turbidity conditions, it is quite often ignored -e.g. when modelling the luminance patterns. As a consequence, the interpretation of experimental data can suffer from the omission of multiple scattering effects. Since multiple scattering smoothes the luminance patterns, the neighbouring sky types may be subject to blurring, and thus it might be difficult to distinguish them in automated data processing. In this paper we introduce a model that lowers the uncertainties caused by multiple scattering, so the subsequent numerical routines will definitely profit from more accurate identification of sky types.

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“…Torres et al [14] studied the daylight conditions in Pamplona. They used two-year data of luminance distribution for selecting the sky type, and found that the most frequent sky type in Pamplona is 1.…”

Section: Introductionmentioning

confidence: 99%

Sky Luminance Measurements Using CCD Camera and Comparisons with Calculation Models for Predicting Indoor Illuminance

Yun

Kim

2018

Sustainability

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Abstract:In this study, we address the algorithm of the calculation formula from sky luminance distribution to vertical illuminance and indoor illuminance. To predict daylight, studies about sky luminance distributions and the DeLight daylight model were investigated. This paper compared three well-known sky distribution models (Perez model, Igawa model, and CIE standard sky model) with measured data. The charge coupled device (CCD) camera was used as a measurement method for sky luminance distribution. Indoor illuminance values calculated with those well-known sky distribution models are compared with measured indoor illuminance data. The following conclusions were obtained: (1) In the results of R 2 , mean bias error (MBE), and Cv(RMSE) analysis, the CIE standard sky model showed the lowest error rate with measured data. Between the Perez model and Igawa model, the Igawa model showed a lower error rate; (2) When we compared the sky classification of the Perez model and the Igawa model, both models classified the sky similarly to the CIE standard sky model in March. However, the classification of the sky in the CIE standard sky model, the Perez model, and the Igawa model differed in some of the July data because of high solar elevation; (3) The illuminance of the center point of the room was calculated using the well-known sky luminance distribution model, the Igawa model has a lower error rate than the Perez model in Korea.

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Sky luminance distribution in Pamplona (Spain) during the summer period

Cited by 27 publications

References 10 publications

An HDRi-based data acquisition system for the exterior luminous environment in the daylight simulation model

An HDRi-based data acquisition system for the exterior luminous environment in the daylight simulation model

Blurring the boundaries between Standard General Sky types due to multiple scattering of light

Sky Luminance Measurements Using CCD Camera and Comparisons with Calculation Models for Predicting Indoor Illuminance

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