Abstract
This project aims to design an IoT-enabled smart window that operates with the aid of electrochromic material and environmental sensors to improve energy efficiency and optimize comfort for the building’s occupants. A control algorithm is developed to regulate the temperature and light intensity within their respective ranges set by the users, ensuring comfort for users while reducing the reliance on electrical appliances, saving energy for the building. The smart system is IoT-enabled, and it allows users to read and set the desired room temperature and light intensity, as well as directly control the electrical appliances over the Internet using the Blynk application.
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Acknowledgements
We would like to express our gratitude to our project supervisor, Professor Rusli, for his patient guidance, support, and encouragement throughout our research journey. We would also like to thank Genson Chua for tutoring and assisting us in our prototype design and overall setup. Lastly, we would like to extend our gratitude to our NRP teacher coordinator from Hwa Chong Institution, Mr. Low Kay Siang, for taking care of administrative and project supervision over the course of our project.
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Appendices
Appendix 1: Electronic Specs and Working Principles of Electrochromic Films
See Table 48.1.
Without a voltage applied, the liquid crystal molecules of the EC film (microdroplets) are disordered. This prevents light from penetrating the film, rendering it translucent. When a voltage is applied to the smart film, the liquid crystal molecules are forced into alignment, making it transparent.
Figure 48.8 shows the EC film under the conditions of fully transparent, semi-translucent, and fully translucent
Different transparency states of EC film
Appendix 2: Electronic Specs of Arduino Uno Wi-Fi Rev2
See Table 48.2.
Appendix 3: Features of Environmental Sensors
See Table 48.3.
Appendix 4 Code for Control of Appliances via Sensor Feedback
Sample control of LED via multiple light sensors
Sample control of fan via multiple temperature sensors
Figures 48.9 and 48.10 are the sample control codes for various appliances (fan and LED light strips) via feedback from different sensors.
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Tey, J.C.R., Tan, J.D.J., Rusli (2022). IoT-Enabled Smart Window with Environmental Sensors. In: Guo, H., Ren, H., Wang, V., Chekole, E.G., Lakshmanan, U. (eds) IRC-SET 2021. Springer, Singapore. https://doi.org/10.1007/978-981-16-9869-9_48
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