A technique to map monthly average global illuminance from satellite data in the tropics using a simple semi-empirical model

Pattarapanitchai, S.; Janjai, Serm; Tohsing, K.; Prathumsit, J.

doi:10.1016/j.renene.2014.08.005

Cited by 3 publications

(3 citation statements)

References 27 publications

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“…Furthermore, the global illuminance acquired within the period of office working hour (9 a.m.e5 p.m.) exceeds 20 k lux. These findings are similar to the data collected by researchers in other tropical regions in South East Asia and Africa [16,17]. Thus, the estimated value of 20 k lux global illuminance can be employed for daylight factor (DF) analysis under overcast sky in tropical climate [10].…”

Section: Tropical Sky Conditionsupporting

confidence: 86%

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Dynamic internal light shelf for tropical daylighting in high-rise office buildings

Lim

Heng

2016

Building and Environment

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Section: Tropical Sky Conditionsupporting

confidence: 86%

“…As shown in Fig. 4 and the previous findings [6,10,16], outdoor illuminance 20 klux can be assumed as overcast sky in the tropic. Thus, configuration of LS 2 can be employed when the outdoor illuminance is 20 k lux.…”

Section: Discussionmentioning

confidence: 81%

Dynamic internal light shelf for tropical daylighting in high-rise office buildings

Lim

Heng

2016

Building and Environment

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“…However, because of cost considerations, there are very few daylight stations around the world. A number of authors have proposed luminous efficacy models for estimating the illuminance from irradiance [7,8]; however, measurements of irradiance around the world are also limited.…”

Section: Introductionmentioning

confidence: 99%

Estimation of hourly average illuminance under clear sky conditions in Chongqing

Zhang

Quan³

2020

PLoS ONE

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Satellite-based methods are proposed for the estimation of clear day average hourly illuminance from satellite data under local climate conditions. First, aerosol optical depth (AOD) data collected using a ground-based sun photometer were used to calibrate the satellite remote sensing AOD data. Next, we screened for the factors affecting the illuminance of clear sky and detected three important factors, namely the sine of the solar altitude angle, aerosol optical thickness, and atmospheric precise water content. Finally, based on the AOD data of satellite remote sensing, combined with the local illumination data and meteorological data, a clear sky average hourly illumination model in Chongqing was established via the regression method. There was good agreement between the calculated and the measured values of clear day average hourly illuminance, with a root mean square difference and mean bias difference of 22% and-0.05%, respectively. The model was used to map clear day annual, quarterly, and monthly average hourly illuminance. The maps show the clear day annual, seasonal, and monthly variations of average hourly illuminance in Chongqing.

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Recent literature in cartography and geographic information science

Finn¹,

Thunen²

2015

Cartography and Geographic Information Science

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A technique to map monthly average global illuminance from satellite data in the tropics using a simple semi-empirical model

Cited by 3 publications

References 27 publications

Dynamic internal light shelf for tropical daylighting in high-rise office buildings

Dynamic internal light shelf for tropical daylighting in high-rise office buildings

Estimation of hourly average illuminance under clear sky conditions in Chongqing

Recent literature in cartography and geographic information science

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