The Effect of Utilizing Distributed Intelligent Lighting System for Energy Consumption in the Office

Hajjaj, Mohammed; Miki, Mitsunori; Shimohara, Katsunori

doi:10.3390/app10062004

Cited by 8 publications

(5 citation statements)

References 13 publications

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“…The two scenarios were implemented by examining the toggling status of the desk and sensing devices to understand the behavior of the intelligent lighting system under normal conditions and to monitor the impact on power consumption under different circumstances. The proposed model has the potential to save energy and improve working comfort in an office [16].…”

Section: Energy Savings User Preferences Sensing Devices Schedulingmentioning

confidence: 99%

Advancing Smart Lighting: A Developmental Approach to Energy Efficiency through Brightness Adjustment Strategies

Widartha,

Ra,

Lee

et al. 2024

JLPEA

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Smart lighting control systems represent an advanced approach to reducing energy use. These systems leverage advanced technology to provide users with better control over their lighting, allowing them to manually, remotely, and automatically modify the brightness, color, and timing of their lights. In this study, we aimed to enhance the energy efficiency of smart lighting systems by using light source data. A multifaceted approach was employed, involving the following three scenarios: sensing device, daylight data, and a combination of both. A low-cost sensor and third-party API were used for data collection, and a prototype application was developed for real-time monitoring. The results showed that combining sensor and daylight data effectively reduced energy consumption, and the rule-based algorithm further optimized energy usage. The prototype application provided real-time monitoring and actionable insights, thus contributing to overall energy optimization.

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Section: Energy Savings User Preferences Sensing Devices Schedulingmentioning

confidence: 99%

Advancing Smart Lighting: A Developmental Approach to Energy Efficiency through Brightness Adjustment Strategies

Widartha,

Ra,

Lee

et al. 2024

JLPEA

View full text Add to dashboard Cite

show abstract

“…Smart lighting in the office is unique because the office is a place to work. Hajjaj et al [75] explains that apart from energy consumption, office lighting can also affect work productivity. Intelligent lighting applications in the office can even customize lighting based on individual needs.…”

Section: ) Office and Building Smart Lightingmentioning

confidence: 99%

Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey

et al. 2022

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Smart lighting has become a universal smart product solution, with global revenues of up to US$5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) lighting, sensors, control, analytics, and intelligence. The Internet of things (IoT) concept with the end device, platform, and application layer plays an essential role in optimizing the advantages of LED lighting in the emergence of smart lighting. The ultimate aim of smart lighting research is to introduce low energy efficiency and high user comfort, where the latter is still in the infancy stage. This paper presents a systematic literature review (SLR) from a bird's eye view covering full-length research topics on smart lighting, including issues, implementation targets, technological solutions, and prospects. In addition to that, this paper also provides a detailed and extensive overview of emerging machine learning techniques as a key solution to overcome complex problems in smart lighting. A comprehensive review of improving user comfort is also presented, such as the methodology and taxonomy of activity recognition as a promising solution and user comfort metrics, including light utilization ratio, unmet comfort ratio, light to comfort ratio, power reduction rate, flickering perception, Kruithof's comfort curve, correlated color temperature, and relative mean square error. Finally, we discuss in-depth open issues and future challenges in increasing user comfort in smart lighting using activity recognition.

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“…As an example of a design of an indoor system, but that can be a ring of an "urban chain" of buildings, the study proposed by Hajjaj et al [6] examined how an intelligent lighting system affects energy consumption in an office space. They evaluated the traditional intelligent lighting system and how to improve the best use of the intelligent lighting system by each user.…”

Section: Impacts and Evaluation Of Lighting Systemsmentioning

confidence: 99%

Special Issue “Smart Urban Lighting Systems”

Beccali

Bonomolo

2020

Applied Sciences

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The design and operation of multifunctional infrastructures for public lighting as well as their impact on the urban environment and citizens’ life is today of great interest. The cost of energy for public lighting is often an issue for the budget of municipalities. Furthermore, researchers’ and designers’ attention is increasingly focused on aspects of public lighting not directly valuable through economic factors. Starting from the “quality” of the light environment, looking at citizens’ visual comfort, the light has to be considered as an instrument to improve the urban context and objects therein (including buildings). Indeed, urban degradation (lack of infrastructures, maintenance, services, etc.) is linked to the poor quality of everyday issues, such as traffic, pollution, noise, lack of information, long times to access focal points, and the lack of safety. Simultaneously, in many areas, the potential related to the valorization of historical heritage is often underexploited. The installation of efficient lighting systems coupled with the implementation of ICT solutions can provide economic, social, and health benefits, energy efficiency, and visual comfort. On the other hand, as for indoor lighting, these systems can be expensive, not easy to maintain, and not as efficient as expected. The aim of this Special Issue was to investigate the problems and advantages of smart urban lighting systems in more detail. This Special Issue included 6 papers of the 10 submitted papers.

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The Effect of Utilizing Distributed Intelligent Lighting System for Energy Consumption in the Office

Cited by 8 publications

References 13 publications

Advancing Smart Lighting: A Developmental Approach to Energy Efficiency through Brightness Adjustment Strategies

Advancing Smart Lighting: A Developmental Approach to Energy Efficiency through Brightness Adjustment Strategies

Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey

Special Issue “Smart Urban Lighting Systems”

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