Feasibility Study and Impact of Daylight on Illumination Control for Energy-Saving Lighting Systems

Bunjongjit, S.; Ngaopitakkul, Atthapol

doi:10.3390/su10114075

Cited by 19 publications

(12 citation statements)

References 73 publications

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“…Intelligent systems for interior lighting are conceived to automatically find the optimal balance between energy consumption, legal requirements, visual performance, user comfort, and health considerations [ 1 ]. A closed-loop feedback design with input from optical sensors seems to be most expedient and has already been adopted successfully in practical research [ 2 , 3 , 4 , 5 , 6 , 7 , 8 ] in order to ensure that such systems are capable of monitoring and dynamically adapting to continuous changes in the environmental conditions and the lighting parameters, e.g., caused by variations of the natural daylight entry through windows and skylights [ 9 , 10 , 11 ] or by degradation and temperature processes in the luminaires [ 12 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Tackling Heterogeneous Color Registration: Binning Color Sensors

Myland

Babilon

Khanh

2021

Sensors

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Intelligent systems for interior lighting strive to balance economical, ecological, and health-related needs. For this purpose, they rely on sensors to assess and respond to the current room conditions. With an augmented demand for more dedicated control, the number of sensors used in parallel increases considerably. In this context, the present work focuses on optical sensors with three spectral channels used to capture color-related information of the illumination conditions such as their chromaticities and correlated color temperatures. One major drawback of these devices, in particular with regard to intelligent lighting control, is that even same-type color sensors show production related differences in their color registration. Standard methods for color correction are either impractical for large-scale production or they result in large colorimetric errors. Therefore, this article shows the feasibility of a novel sensor binning approach using the sensor responses to a single white light source for cluster assignment. A cluster specific color correction is shown to significantly reduce the registered color differences for a selection of test stimuli to values in the range of 0.003–0.008 Δu′v′, which enables the wide use of such sensors in practice and, at the same time, requires minimal additional effort in sensor commissioning.

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Section: Introductionmentioning

confidence: 99%

Tackling Heterogeneous Color Registration: Binning Color Sensors

Myland

Babilon

Khanh

2021

Sensors

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“…In regions with hot and humid climatic conditions, air conditioning systems are used for space cooling, which results in a large amount of energy consumption [1]. Individuals are constantly searching for an improved way to reduce energy consumption to reduce the electricity bill [2]. As per the data available, 39% of the total energy and 71% of total electrical energy are consumed in buildings [3].…”

Section: Introductionmentioning

confidence: 99%

An IoT-Based Thermoelectric Air Management Framework for Smart Building Applications: A Case Study for Tropical Climate

et al. 2020

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This study investigates the performance of the thermoelectric air conditioning (TE-AC) system smartly controlled by the Internet of Things (IoT)-based configuration for real tropical climatic application. Air cooling management was done through thermoelectric coolers, and an Arduino microcontroller with various sensors such as a temperature sensor, simple RF modules, and actuators was used to control the indoor climatic conditions based on outdoor conditions. The result shows that when the input power supply to the IoT-based TE-AC system is increased, the cooling capacity of the framework is also enhanced. Significant power and carbon emission reduction was observed for the IoT-based TE-AC system as compared to the TE-AC system without IoT. The IoT-incorporated system also ensures better microclimatic temperature control. Additionally, the system cooling capacity improves by 14.0%, and the coefficient of performance is increased by 46.3%. Thus, this study provides a smart solution to the two major energy harvesting issues of traditional air conditioners-an increase in energy efficiency by employing a TE-AC system and a further improvement in efficiency by using an IoT-based thermal management system.

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“…Generally, control strategy with higher illumination set points and color temperature changeability cost more energy consumption. The necessity of setting a higher illumination value and changing the color temperature requires more research [5,6].…”

Section: Introductionmentioning

confidence: 99%

Effect of Indoors Artificial Lighting Conditions on Computer-Based Learning Performance

Zhang

Yang

Fang

et al. 2020

IJERPH

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Lighting condition is essential to human performance. With the widespread use of computer-based learning, the performance measurements become difficult, and the effects of artificial lighting conditions towards the new learning forms are not investigated extensively. The current study conducts a subject-within experiment with a 45-min-long online learning along with electroencephalogram (EEG)-based measurements, and a post-interview under five lighting setups respectively (300 lx, 3000 K; 300 lx, 4000 K; 300 lx, 6500 K; 500 lx, 4000 K; 1000 lx, 4000 K). Attention is chosen as the key factor to represent the learning performance. The results show that the attention of people aged in the 20s is not affected by the experimental lighting conditions. The results also demonstrate that people in high illumination at 1000 lx are more inclined to sustain attention despite the discomfort and dissatisfaction. Taking the EEG-based attention measurements and post-interview answers into consideration, lighting conditions at 300 lx, 4000 K are the recommended set points for university architectures among the investigated conditions, providing a practical basis when adjusting the lighting standard for its advantage in energy saving. under 500 lx is acceptable without compromising the user experience [11]. Young Adults are more likely to preserve a negative mood under low color temperatures while accomplishing cognitive tasks [12]. On the contrary, high correlated color temperature fluorescent lights seem to improve wellbeing and productivity based on Mills's work [13]. When the light is blue-enriched, which means a relatively high color temperature, subjective alertness, performance, and evening fatigue would be significantly improved [14]. Smolders et al. draws an opposite conclusion that no significant activating effects and even subtle performance-undermining effects in the relatively high CCT condition [15]. These lighting settings formed a wild feature space, while some set points are not common in practical scenes. When studying the learning performance, the realistic lighting setting scale of university buildings should be supported by further study.It can be seen that different experiment settings lead to different conclusions on subjective performance and mental status. However, no matter whether the experiment is field-based or artificial chamber-based, the performance assessments are all based on test scores. These assessments are not suitable for the work, which requires comprehension and imagination, for example, the learning task because the scores are difficult to be made. The effects of artificial lighting settings on learning performance need to be investigated extensively. In recent research [2,[16][17][18], electroencephalogram (EEG) started to be adopted when examining people's mental state and performance. It is presumed that mapping for the relative Highbeta wave in the temporal lobe can be a biological marker for assessing whether an environment is stressful or not [19]. Besides, thermal pleasure is positi...

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Feasibility Study and Impact of Daylight on Illumination Control for Energy-Saving Lighting Systems

Cited by 19 publications

References 73 publications

Tackling Heterogeneous Color Registration: Binning Color Sensors

Tackling Heterogeneous Color Registration: Binning Color Sensors

An IoT-Based Thermoelectric Air Management Framework for Smart Building Applications: A Case Study for Tropical Climate

Effect of Indoors Artificial Lighting Conditions on Computer-Based Learning Performance

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