Satisfying light conditions: A field study on perception of consensus light in Dutch open office environments

Chraibi, S Senna; Lashina, TA Tatiana; Shrubsole, Paul; Aries, Mbc Myriam; Loenen, EJ Evert van; Rosemann, Alp Alexander

doi:10.1016/j.buildenv.2016.05.032

Cited by 41 publications

(15 citation statements)

References 19 publications

(43 reference statements)

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“…Another participant raised the lighting again at the end of the day, because she had her "midday dip"; she felt that "more light would be good again." In the dynamic lighting scenarios, this rise was applied directly after lunch (de Kort and Smolders 2010;Motamed et al 2016), but we identified that participants in this study preferred increasing levels later in the afternoon, which is in line with Chraibi et al (2016) and Newsham et al (2008). At the beginning and end of the day, the majority chose higher luminances compared to the previous moment, suggesting that dynamic scenarios should apply an increase at these moments; for the other times, the first and third quartiles reached into both the positive and negative; hence, it remains difficult to provide a suggestion on how to vary the luminances over the day to satisfy this subset of users with dynamic preferences.…”

Section: Variation In Preferred Luminance Distributions Over the Workdaysupporting

confidence: 84%

“…Similarly, Newsham et al (2008) identified that, on average, participants chose an increasing desktop illuminance in the morning and a decreasing value in the afternoon. Chraibi et al (2016), however, revealed in a real office environment that occupants dimmed down the luminaires more often in the morning, whereas at the end of the day they dimmed them up. Clearly, their results do not agree; their different experimental designs are likely one cause; nevertheless, this indicates a need for research that clarifies these ambiguities.…”

Section: Introductionmentioning

confidence: 94%

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Preferred luminance distributions in open-plan offices in relation to time-of-day and subjective alertness

Bakker

Aarts

Kort

et al. 2019

LEUKOS

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Dynamic lighting is one of the new trends in lighting research; providing the right lighting level at the right time could possibly increase the alertness and performance of office workers. However, they might have preferences that deviate from this "healthy" lighting. Simultaneously, the building environment becomes increasingly automated, with occupancy-based control as one of the most well-known examples to reduce offices' lighting energy consumption. Nevertheless, preferences for lighting levels in the unoccupied area of the multi-occupant office space have not been addressed yet. Therefore, we studied luminance distribution preferences in relation to time of day and subjective alertness (SA) in a single occupancy scenario. Participants (N = 30) set the surrounding and background lighting six times a day as we first probed for SA. Our results clearly showed that a subset preferred varying luminance distributions; participants had fluctuating feelings of alertness, too. Preferences deviated sometimes from the typical dynamic lighting scenarios, suggesting that they do not always prefer healthy lighting. Moreover, we identified an effect of SA on the preferences, both with and without controlling for time of day. Hence, this study showed that we need to address these two factors when we want to provide satisfactory lighting conditions in case the office is not fully occupied. These are likely to affect other lighting preferences and therefore deserve more attention from research. Because we identified large individual differences, we suggest personalizing dynamic scenarios as the focus of future research.

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Section: Variation In Preferred Luminance Distributions Over the Workdaysupporting

confidence: 84%

Section: Introductionmentioning

confidence: 94%

Preferred luminance distributions in open-plan offices in relation to time-of-day and subjective alertness

Bakker

Aarts

Kort

et al. 2019

LEUKOS

Self Cite

View full text Add to dashboard Cite

show abstract

“…The authors in Ref. [23] justify the need to offer lighting that serves the preferences of individuals, and they assert that "by offering illuminances close to peoples' own preferences a significant improvement in ratings of mood, lighting satisfaction, and environmental satisfaction can be established". In Ref.…”

Section: Related Workmentioning

confidence: 99%

“…In Ref. [23], it was observed from an experimental study that consensus control improved user appreciation of office lighting in an open office. It was also emphasized in Ref.…”

Section: Related Workmentioning

confidence: 99%

Smart lighting system using ANN-IMC for personalized lighting control and daylight harvesting

Kandasamy

Karunagaran

Spanos

et al. 2018

Building and Environment

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Lighting contributes a significant portion to the overall energy consumption in an office building. It is thus important to reduce the energy consumption of lighting systems especially for Net Zero Energy Buildings (NZEB). Maximizing daylight harvesting can significantly increase the energy savings. With increase in demand for satisfying occupant preferences in visual comfort, the need for personalized lighting in the office space is also rising. In this paper, a novel lighting control system for Net Zero Energy Buildings (NZEB) is proposed which models the lighting system using Artificial Neural Network (ANN) and utilizes this model with the Internal Model Control (IMC) principle for controller design. Modeling the lighting system using ANN reduces the challenge of modeling a large and complex system with inherent process variability without the need to analyze extensive data-sets. The proposed ANN-IMC controller uses feedback from sensors on the task table to maintain desired illuminance, is easy to tune with just one parameter and is robust to process variability. The proposed control design is applicable to square systems where the number of lights and number of sensors are equal. However, the proposed architecture can also be extended for controlling other lighting accessories such as roller blinds. The performance of the proposed lighting control system to harvest the daylight effectively is demonstrated using both simulation results and an experimental setup in test-bed environment. The versatility of the proposed system will allow an operator to deploy personalized lighting in an office space.

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“…This problem happens because the regulations don't take into account all the lighting parameters which influence visual comfort, it being necessary to take the measurements in situ [1]. Furthermore, it must be considered that aspects such as sensitivity or character could influence user lighting preferences [2] as well as cultural differences [3]. If we focus on the concept of lighting in workplaces, it is possible to see how proper lighting is essential, allowing users to see without difficulties the tasks being carried out, increasing productivity [4], and reducing accident risk and fatigue.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Improvement of Lighting Efficiency in Working Spaces

et al. 2018

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Lighting is an essential element for modern life, promoting a sense of wellbeing for users. However, bad illumination may produce health problems such as headaches and fatigue, among other vision problems. For that reason, this paper proposes the development of a smartphone-based application to help in lighting evaluation to guarantee the compliance of illumination regulations and to help increase illuminance efficiency, reducing its energy consumption. To perform this evaluation, the smartphone can be used as a lighting measurement tool, evaluating those measurements through an intelligent agent based in rules capable of guiding the decision-making process. As a result, this tool allows the evaluation of the real working environment to guarantee lighting requirements, helping in the prevention of health problems derived from bad illumination and improving the lighting efficiency at the same time.

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Satisfying light conditions: A field study on perception of consensus light in Dutch open office environments

Cited by 41 publications

References 19 publications

Preferred luminance distributions in open-plan offices in relation to time-of-day and subjective alertness

Preferred luminance distributions in open-plan offices in relation to time-of-day and subjective alertness

Smart lighting system using ANN-IMC for personalized lighting control and daylight harvesting

Evaluation and Improvement of Lighting Efficiency in Working Spaces

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