International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 06 | Jun 2025
p-ISSN: 2395-0072
www.irjet.net
Intelligent Occupancy Sensing Sun-Tracker Skylight Louver System to Enhance Day-Light Penetration along with BIPV towards BEE Net Positive Energy Buildings Program Sandip Das Department of Electrical Engineering, Hooghly Engineering and Technology College, Hooghly-712103, India. ---------------------------------------------------------------------***--------------------------------------------------------------------affecting its rapid development. To address these issues, this Abstract - Inspired by BEE Net Positive energy buildings
paper presents an intelligent model system recommendation for future studies.
labeling program, an environment friendly novel model is designed to keep Day-Light penetration through sky light along with occupancy sensing automated Building Integrated Photo Voltaic (BIPV) system. Because, nowadays energy abundant could be considered as energy lost, mainly for solar light energy integrated with SPVs in our household. Most of the Day-light energy should be utilized to sustainability and human health. An automated integrated louver system is utmost necessary to amalgamate both the cause. The integrated system will generate renewable energy, when not engaged in Day-light harvesting by means of automated intelligent louver system. Likewise the idea developed as this model; using Arduino UNO, ultrasonic sensors, servo motor and battery backup.
In these fields, governments across countries are encouraging for robust national energy strategic plans, reliable technical guidelines, and substantial financial incentives in the future, as BEE in India [1].
2. Sun-Tracker Skylight Louver System A Sun-Tracker Skylight Louver system fitted with SPV module could be an essential factor to emphasize the Net Positive movement, as a part of BIPV system. Essentially the Louver could track Sun path following solar illumination, when it is closed. And otherwise could harvest Day-light working open as Sky-light, sensing occupancy in the utility sphere of the concerned room, by enhancing Day-light penetration.
Key Words: ARDUINO UNO, Sun-Tracker, renewable energy, Skylight, BIPV, Intelligent.
1. Introduction
3. Prototype Test model
The growing global climate and environmental challenges, the energy transition of using clean renewable energy instead of traditional fossil energy has already emerged as the prevailing trend. Also, BEE Net Positive energy buildings labeling program [1] have been introduced; where building specific energy intake & recovered ratio are highlighted. However, the adverse implications of large-scale renewable energy applications, including safety & stability and economical operation, are becoming more prominent. AI techniques with unique advantages in automation, intelligent identification, monitoring and management have been widely recognized [2]. With the assistance of intelligent automated techniques, the applications of large-scale RES can be increasingly rational and intelligent, which paves a promising pathway for promoting their large-scale implementations. Numerous studies have demonstrated that AI techniques can contribute to the accurate performance prediction of large-scale RES, as well as to reasonable energy distribution and control optimization of integrated systems. These enable to achieve the targets of matching customers’ energy demands, cost-effectiveness and improvement of renewable energy utilization as well as minimizing environmental impact [2]. However, small integration with building equipped intelligent devices like BIPV with Louvers, and their operational techniques are also essential factors
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The physical parts of the Prototype Test model are divided into the replica of ‘Foldable Skylight Louver system’ with Hollow Field (Used as Hollow Bucket to replicate Hollow Room, for further Illumination Measurement in future studies) and the automation designed with Arduino UNO [3] & its software Arduino IDE, ultrasonic sensors, servo motor, battery backup, connectors, Louver like opener etc. A person may occupant the place & it will operate automatically by checking surrounding occupancy & solar illumination by tracking the Sun. Sensors work as the eye of the prototype model and servo motors as limbs, to open its Sky-Light itself, when someone comes to its vicinity to working plane for work under skylight inside the room. 3.1 System Components a) REQUIRED HARDWARE: i. ARDUINO UNO R3 ii. SERVO MOTOR(SG 90) iii. Louver Set-up iv. BREADBOARD v. ULTRASONIC SENSOR (SR 07)
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