WinLight: A WiFi-based occupancy-driven lighting control system for smart building

Zou, Han; Zhou, Yuxun; Jiang, Hao; Chien, Szu-Cheng; Xie, Lihua; Spanos, Costas J.

doi:10.1016/j.enbuild.2017.09.001

Cited by 134 publications

(65 citation statements)

References 40 publications

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“…occupied or un-occupied, position and number) and it is connected to the wireless network in the buildings [17,18]. The advantages of WiFi-based application are similar to RFID sensor, but the location of the occupants can be detected accurately [19,20].…”

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

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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: 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

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“…As shown in Table 3, research into developing efficient lighting control methods and technologies for saving building energy [22,25,[30][31][32][33][34][35] has been continuously performed, and these studies induce efficient lighting energy reductions by considering indoor illuminance information as well as the presence of occupants. However, these studies have thus far focused on the development or method of a sensor network for indoor illuminance and occupancy sensing for lighting control; the actual lighting is controlled by the presence of the occupant or only the lighting adjacent to the occupant is controlled.…”

Section: Consideration Of Previous Studies Related To Lighting Controlmentioning

confidence: 99%

“…However, these studies have thus far focused on the development or method of a sensor network for indoor illuminance and occupancy sensing for lighting control; the actual lighting is controlled by the presence of the occupant or only the lighting adjacent to the occupant is controlled. Among these, studies that recognize the location of the occupant and control the lighting adjacent to the occupant [22,25,33,35] prove that this method is effective in reducing lighting energy by blocking unnecessary lighting control. However, these studies only examine controlling the lighting adjacent to the occupant, which might provide an unpleasant visual environment to the occupant by inducing an imbalance in indoor illuminance.…”

Section: Consideration Of Previous Studies Related To Lighting Controlmentioning

confidence: 99%

“…Recently, advanced technologies are coming to be integrated into the building sector with the introduction of net-zero energy homes, which refer to buildings with zero net energy consumption [17][18][19][20]. Moreover, technologies for lighting control and lighting energy reduction are becoming increasingly advanced with the introduction of location tracking technologies [21,22], connection with mobile devices [23,24], and Wireless Fidelity (Wi-Fi) technologies [25]. In particular, the occupant location-awareness technology in this study tracks and recognizes the location information of an occupant, which can be used to efficiently reduce lighting energy by preventing the use of unnecessary lighting when applied to the lighting control [21].…”

Section: Introductionmentioning

confidence: 99%

“…In particular, the occupant location-awareness technology in this study tracks and recognizes the location information of an occupant, which can be used to efficiently reduce lighting energy by preventing the use of unnecessary lighting when applied to the lighting control [21]. However, in previous related studies, the lighting control [22,25] implemented on-off and dimming controls only for lighting adjacent to the occupant's location. In these cases, the lights are Off for zones where occupants are not located.…”

Section: Introductionmentioning

confidence: 99%

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Development of a Dimming Lighting Control System Using General Illumination and Location-Awareness Technology

2018

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As part of ongoing research into saving lighting energy, studies on lighting control integrating location-awareness technologies have recently been increasing, but these have led to the indoor illuminance imbalance problem by controlling only the lighting adjacent to the occupant. Therefore, the purpose of this study is to develop a dimming lighting control system using general illumination and location-awareness technology by integrating general illumination and dimming technology with lighting control technology that is based on location-recognition, and to verify the effectiveness of this system. This study built a full-scale test bed to evaluate the performance of the developed technology, and derived the energy reduction rate and indoor light environment improvement rate to evaluate the performance of dimming lighting control (Case 1), dimming lighting control using location-awareness technology (Case 2), and dimming lighting control using general illumination and location-awareness technology (Case 3). The conclusions are as follows. (1) Case 3 reduces lighting energy by 47.9–64.2% as compared to Case 1, and Case 3 reduces lighting energy compared to Case 2 when there are three occupants. (2) Case 3 improves indoor light environment comfort by increasing the uniformity by 17.8–49% compared to Case 2. These results confirm the effectiveness of Case 3 proposed in this study.

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Design of optimized energy system based on active energy‐saving technologies in very low‐energy smart buildings

Qamar

Iqbal

Saher

et al. 2019

Trans Emerging Tel Tech

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The International Energy Agency proclaims that the energy utilization by commercial buildings makes up 28% of the world's total energy consumption. This research is aimed at finding various optimum ways to minimize energy consumption for existing commercial buildings. A three‐layer framework is proposed to achieve active energy saving and to transform an existing building into very low‐energy building. The building considered is the postgraduate studies research lab that can have 15 workstations. The building site (envelop) is made scalable by dividing the site area into zones and each zone is monitored via a sensor node, which monitors occupant behavior and acts as a controlling agent between the source and the load. The use of photovoltaic as renewable generation is a sustainable and environment‐friendly way and thus, is added to the existing building to conserve energy. A 6 kW grid‐tied monocrystalline photovoltaic‐based renewable energy system has been added to the building to meet energy requirements and envisage its aftereffect on the energy conservation. The energy‐efficient appliances have been used as loads to minimize the energy consumption. The installed system has a payback period of 6 years, while the proposed framework can achieve maximum energy efficiency of 90%.

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WinLight: A WiFi-based occupancy-driven lighting control system for smart building

Cited by 134 publications

References 40 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

Development of a Dimming Lighting Control System Using General Illumination and Location-Awareness Technology

Design of optimized energy system based on active energy‐saving technologies in very low‐energy smart buildings

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