Artificial Skylight A Novel Photovoltaic Approach For Daylight Harvesting L&E, Vol.30, No.2, 2022
Articles authors:
Shovakar Bhattacharjee, Kalyan Kumar Roy, Saswati Mazumdar
Shovakar Bhattacharjee, M.Tech. He is perusing Ph.D. at Indian institute of technology Madras as prime minister research fellow in the ocean engineering department (ocean and computer science dept. jointly). His research interests are vision characteristics, vision system improvement, and computer vision using artificial intelligence
Kalyan Kumar Roy, Ph.D. He is currently a consultant to industries manufacturing electronic systems. His primary research interests include control of power electronic converters, embedded control and instrumentation, solar photovoltaic conversion, and vehicular electronics
Saswati Mazumdar, Ph. D, Professor.of Electrical Engineering, Jadavpur University (JU), Kolkata, India. She has 36 years of experience in Lighting Research and Teaching. Developed a modernized Illumination Engineering laboratory in Electrical Engineering Department, Jadavpur University. Have founded two Masters’ Courses on Illumination Engineering (Daytime) and Illumination Technology & Design (Evening) in JU. Executed many R&D and Consultancy Projects on Illumination and allied fields
Abstract:
Daylight harvesting is an apparent way of utilizing green energy in modern buildings which leads to sustainable development. In modern days, a huge amount of energy is consumed for lighting applications. So, in this article, we approached a novel photovoltaicbased daylighting system that can replicate the sunlight into an electric light inside a room. In general, this task is dependent on a photovoltaic cell and its maximum power point tracking for maximum energy conversion/extraction (daylight to electricity). So, we have developed a unique algorithm for this task which will lead to a maximum extraction of current based on the daylight condition outside. The MPPT algorithm is controlled by a microcontroller and the output light from the system is proportionate replication of the daylight available outside the room. The microcontroller controls the boost converter duty cycle for maximum power extraction. This article consists of detailed circuit diagrams and algorithm used for this whole system. This system is capable of lighting up a series of LED luminaires from a single photovoltaic cell.
References:
1. Bhattacharjee, Sh. Artificial Skylight – a photovoltaic based approach for daylight harvesting // Masters tech. thesis, School of Illumination Technology and Design, Jadavpur University, August 2021. 2. Ruck, N., Aschehoug, O., Aydinli, S., Jens, Ch. Daylight in Buildings – A sourcebook on daylighting system and components // International Energy Agency Energy Conservation in Buildings and Community Systems Programm, June 2000. 3. Ander, G.D. Daylighting performance and design, 2nd edition // Building Engineer, 2003. 4. Rajib, M. Studies and development of a new intelligent controllerbased hybrid (solar & conventional) power management System // Master degree dissertation, Jadavpur University, 2013. 5. Esram, T., Champman, P.L. Comparison of photovoltaic array maximum power point tracking techniques // IEEE transactions on energy conversion, 2007, Vol. 22, #2, pp. 439–449. 6. Pandey, A., Dasgupta, N., Mukherjee, A.K. Highperformance algorithm for drift avoidance and fast tracking in solar MPPT systems // IEEE transactions on energy conversion, 2008, Vol. 22, #2, pp. 681–689. 7. Hohm, D. P., Ropp, M.E. Comparative study of maximum power point tracking algorithms // Prog. Photovolt: Res. Appl., 2003, Vol. 11, pp. 47–62. 8. Hua, C., Lin, J., Shen, C. Implementation of a DSPcontrolled photovoltaic system with peak power tracking // IEEE Trans. Ind. Electron., 1998, Vol. 45, #1, pp. 99–107. 9. Hart, D.W. Power electronics // ISBN978–0–07–338067–4. 10. Mazidi, M. A., Mazidi, J. G., McKinla, R.D. The 8051 microcontroller and embedded systems, 2nd edition // Pearson, 2006.
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Number of images - 9
Tables and charts - 4
