Using HDR Sky Luminance Maps to Improve Accuracy of Virtual Work Plane Illuminance Sensors

Humann, Christian; McNeil, Andrew

doi:10.26868/25222708.2017.368

Cited by 3 publications

(1 citation statement)

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“…When it comes to assessing glare metrics and spatial distribution of light levels, the luminance measurement system outperforms illuminance sensors (Tyukhova, 2014). Sky luminance distribution is derived from sky images for daylight simulations (Humann and McNei, 2017;Inanici, 2006;Spasojevic and Mahdavi, 2007). To control blinds and lighting, photosensors, luminance meters, pyranometers, and occupancy sensors can all be replaced with digital cameras (Jain and Garg, 2018).…”

Section: Digital Camera As a Luminance Detection Device For Lighting ...mentioning

confidence: 99%

A state-of-the-art artificial intelligent techniques in daylighting controller: models and performance

Grace Colaco,

Varghese,

Pearl Kurian

et al. 2023

STET

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Lighting designers are always on the quest to develop a lighting control strategy that is aesthetically pleasing, comfortable, and energy-efficient. In an indoor context, electric lighting blended with daylighting controls forms a quintessential component for improving the occupant’s comfort and energy efficiency. Application of soft computing techniques, adaptive predictive control theory, machine learning, HDR photography, and wireless networking have facilitated recent advances in intelligent building automation systems. The evolution and revolution from the 19th to the 21st century in developing daylighting control schemes and their outcomes are investigated. This review summarizes the state-of-the-art artificial intelligence techniques in daylighting controllers to optimize the performance of conventional photosensor-based control and camera-based control in commercial buildings. The past, current, and future trends are investigated and analyzed to determine the key factors influencing the controller design. This article intends to serve as a comprehensive literature review that would aid in creating promising new concepts in daylighting controllers.

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Section: Digital Camera As a Luminance Detection Device For Lighting ...mentioning

confidence: 99%

A state-of-the-art artificial intelligent techniques in daylighting controller: models and performance

Grace Colaco,

Varghese,

Pearl Kurian

et al. 2023

STET

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Evaluation of a hybrid photo-radiometer sky model compared with the Perez sky model

Kong

Utzinger

Humann³

2018

Energy and Buildings

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Assessing daylight performance in use: A comparison between long-term daylight measurements and simulations

Brembilla

Drosou

Mardaljevic

2022

Energy and Buildings

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Using HDR Sky Luminance Maps to Improve Accuracy of Virtual Work Plane Illuminance Sensors

Cited by 3 publications

References 0 publications

A state-of-the-art artificial intelligent techniques in daylighting controller: models and performance

A state-of-the-art artificial intelligent techniques in daylighting controller: models and performance

Evaluation of a hybrid photo-radiometer sky model compared with the Perez sky model

Assessing daylight performance in use: A comparison between long-term daylight measurements and simulations

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