Design of Smart Lighting Control for the Built Environment

The inefficient use of electricity and the forgetting habits of humans related to manual controlling of lights results in wastage of electricity in both residential and commercial sector. The proposed design can get rid of this physical/manual switching and provides the energy-efficient environment. This lighting control design is programmable, cost effective and provides easy installation. It employs AT86C51 microcontroller with IR sensor modules for monitoring and controlling the LED light as per occupancy inside the room. Specifically, the developed design is used to monitor the entry and exit of occupants inside the room. It automatically senses the person’s location and then displays the room occupancy with the glow of LED light. The LED light remains on as long as the person lies in the range of proximity of IR sensor; otherwise, it switches off. Classroom environment is considered as test bed for this analysis. The result analysis shows the effective and efficient usage of lights and thereby causes the energy saving with the rising energy demand. Keil microvision software is used in compiling the code.

[1]  Ashish Pandharipande,et al.  A Data-Driven Daylight Estimation Approach to Lighting Control , 2017, IEEE Access.

[2]  Aniela Kamińska,et al.  Lighting Control Including Daylight and Energy Efficiency Improvements Analysis , 2018, Energies.

[3]  Majid Jamil,et al.  Accomplishing Approximately Zero Energy Buildings with Battery Storage Using FLANN Optimization , 2018, 2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN).

[4]  Gaetano Zizzo,et al.  Building Automation and Control Systems and Electrical Distribution Grids: A Study on the Effects of Loads Control Logics on Power Losses and Peaks , 2018 .

[5]  Yu Chunjiang Development of a Smart Home Control System Based on Mobile Internet Technology , 2016 .

[6]  O. O Shoewu,et al.  Design and Development of an Automated Home Control System Using Mobile Phone , 2014 .

[7]  Alex Joy,et al.  Microcontroller Based Room Automation , 2015 .

[8]  V. Lo Brano,et al.  Experimental validation of the BAC factor method for lighting systems , 2017, 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

[9]  Suk-Jin Jung,et al.  Study on the Prediction and Improvement of Indoor Natural Light and Outdoor Comfort in Apartment Complexes Using Daylight Factor and Physiologically Equivalent Temperature Indices , 2018, Energies.

[10]  Rasmus Lund Jensen,et al.  Estimation methodology for the electricity consumption with daylight- and occupancy-controlled artificial lighting , 2017 .

[11]  Majid Jamil,et al.  Microcontroller Based Load Prioritization Technique in Residential Sector , 2018, 2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES).