Occupancy-based lighting control in open-plan office spaces: A state-of-the-art review

Bakker, Craig; Aries, Mbc Myriam; Kort, Hsm Helianthe; Rosemann, Alp Alexander

doi:10.1016/j.buildenv.2016.11.042

Cited by 139 publications

(75 citation statements)

References 37 publications

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“…Placement of the sensor is crucial at the design stage of the lighting system in the buildings. At this stage, three sensor placement parameters need to be considered: (1) field of view (FoV) [21,22], (2) number [21,23,24] and (3) position [11,23,25,26]. The FoV value can be determined by referring to the sensor datasheet which is provided by sensor manufacturers and the value is in degree (ᴼ).…”

Section: Sensors Placement Methodsmentioning

confidence: 99%

“…According to [11], occupancy-based control design can be divided into five categories: spatial level, occupancy detection technique, intelligence level, illuminance settings, and time delay setting. However, from literature survey, the occupancy detection technique and illuminance settings have been widely considered in the lighting control strategies.…”

Section: Occupancy-basedmentioning

confidence: 99%

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A review on sensing-based strategies of interior lighting control system and their performance in commercial buildings

Wagiman

Abdullah

Hassan

et al. 2019

IJEECS

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<p>Artificial lighting consumed significant amount of electrical energy in commercial buildings. Therefore, intelligent control strategies are widely implemented to reduce the lighting energy consumption. This paper presents comprehensive review of the current sensing-based strategies (i.e. occupancy, daylight and mixed), sensors placement methods (i.e. occupancy and light) and factors affecting the performance of the lighting control strategies. Based on literature survey, the sensors placement methods can be categorized into three approaches: fixed, mathematical equation and optimization. The state-of-the-art of these approaches are discusses in details. It found that, the optimization-based approach capable to find the optimal sensor placement (numbers and positions) effectively. Moreover, the mixed strategy can be produced the highest energy savings up to 95% compared with other strategies. The occupancy pattern and building characteristics are the main factors to contribute higher energy savings of sensing-based strategies in commercial buildings. </p>

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Section: Sensors Placement Methodsmentioning

confidence: 99%

Section: Occupancy-basedmentioning

confidence: 99%

A review on sensing-based strategies of interior lighting control system and their performance in commercial buildings

Wagiman

Abdullah

Hassan

et al. 2019

IJEECS

View full text Add to dashboard Cite

show abstract

“…The occupancy information varies from binary (occupant vs. vacant) detection to a head-counting of people in real time. [4] considered occupancy-based lighting control in open-plan office spaces. Because of the importance of occupancy information, other researchers focused on the motion sensors deployment in buildings.…”

Section: Related Workmentioning

confidence: 99%

Commercial Technologies for Advanced Light Control in Smart Building Energy Management Systems: A Comparative Study

Laidi¹,

Djenouri²,

Ringel³

2019

EPE

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This work investigates the economic, social, and environmental impact of adopting different smart lighting architectures for home automation in two geographical and regulatory regions: Algiers, Algeria, and Stuttgart, Germany. Lighting consumes a considerable amount of energy, and devices for smart lighting solutions are among the most purchased smart home devices. As commercialized solutions come with variant features, we empirically evaluate through this study the impact of each one of the energy-related features and provide insights on those that have higher energy saving contribution. The study started by investigating the state-of-the-art of commercialized ICT-based light control solutions, which allowed the extraction of the energy-related features. Based on the outcomes of this study, we generated simulation scenarios and selected evaluations metrics to evaluate the impact of dimming, daylight harvesting, scheduling, and motion detection. The simulation study has been conducted using En-ergyPlus simulation tool, which enables fine-grained realistic evaluation. The results show that adopting smart lighting technologies have a payback period of few years and that the use of these technologies has positive economic and societal impacts, as well as on the environment by considerably reducing gas emissions. However, this positive contribution is highly sensitive to the geographical location, energy prices, and the occupancy profile.

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“…Every commercial and residential building consumes a great deal of electrical energy through lighting systems [1][2][3]. Installations on domestic premises, offices, or other private premises are also considered to be important [4]. In this direction, the work of Li et al [5] provides a means to select appropriate photoelectric lighting control systems based on the energy savings.…”

Section: Introductionmentioning

confidence: 99%

DALI LED Driver Control System for Lighting Operations Based on Raspberry Pi and Kernel Modules

Adam

2019

Electronics

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Light emitting diodes (LEDs) as an efficient low-consumption lighting technology are being used increasingly in many applications. The move to LED lighting is also changing the way the lighting control systems are designed. Currently, most electronic ballasts and other digital lighting devices implement the Digital Addressable Lighting Interface (DALI) standard. This paper presents a low-cost, low-power effective DALI LED driver controller, based on open-source Raspberry Pi3 microcontroller prototyping platform. The control software is developed as a Linux kernel module under UBUNTU 18.04.2 LTS patched with PREEMPT_RT (Preemptive Real-time) for real-time processing. This dynamically loaded kernel module performs all the processing, communication and control operations of the Raspberry Pi3-based DALI controller with the DALI LED driver and LED luminaire. Software applications written in C and Python were developed for performance testing purposes. The experimental results showed that the proposed system could efficiently and effectively manage DALI LED drivers and perform lighting operations (e.g. dimming). The system can be used for a variety of purposes from personal lighting control needs and experimental research in control of electronic ballasts and other control gears, devices and sensors, to advanced requirements in professional buildings, including energy management, lighting maintenance and usage.

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Occupancy-based lighting control in open-plan office spaces: A state-of-the-art review

Cited by 139 publications

References 37 publications

A review on sensing-based strategies of interior lighting control system and their performance in commercial buildings

A review on sensing-based strategies of interior lighting control system and their performance in commercial buildings

Commercial Technologies for Advanced Light Control in Smart Building Energy Management Systems: A Comparative Study

DALI LED Driver Control System for Lighting Operations Based on Raspberry Pi and Kernel Modules

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