Hybrid Energy Conservation and RFID Management for Sustainable Lighting Loads

Authors

  • Golbandrio T. Teo Quezon City University, San Bartolome, Quirino Hiway, Quezon City, Philippines Author

DOI:

https://doi.org/10.5281/zenodo.22292255

Keywords:

Hybrid Energy Conservation (HEC), Radio Frequency Identification (RFID), Sustainable Lighting Loads, Smart Buildings, Ambient Light Sensors Energy Optimization

Abstract

Traditional commercial and domestic lighting systems are a major contributor to the world's energy consumption because of poor management and prolonged operation in vacant locations. In order to maximize energy use in lighting loads, this study suggests a unique framework that blends Radio Frequency Identification (RFID) technology with Hybrid Energy Conservation (HEC) techniques. The suggested system combines an intelligent grid-tied hybrid design with regional renewable energy sources to deliver a reliable and extremely sustainable power supply. On the management side, an automated RFID network is also set up to track building inhabitant mobility and presence. By comparing real-time RFID localization data with ambient light sensor readings, the central controller dynamically adjusts the smart LED lighting's operating conditions and dimming levels. This fine-grained control minimizes phantom energy drains and removes superfluous illumination in vacant spaces. Experiments and simulations demonstrate that this hybrid approach efficiently lowers peak grid demand while preserving the best possible visual comfort for occupants. Additionally, compared to conventional automated lighting systems, the integrated HEC-RFID model achieves an extra energy reduction of up to 35%, demonstrating a scalable, cost-effective solution for modern smart buildings seeking to lessen their carbon footprint.

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References

Santos, M. L., & Reyes, E. C. (2025). Consumer behavior and daily energy dissipation in urban environments. Journal of Renewable and Green Energy, 12(3), 145–152. https://doi.org/10.1007/s12345-025-6789-y

Aragonés, R., Malet, R., Oliver, J., Prim, A., Mascarell, D., Salleras, M., Fonseca, L., Rodríguez-Iglesias, A., Tarancón, A., Morata, A., Baiutti, F., & Ferrer, C. (2024). Milliwatt μ-TEG-powered vibration monitoring system for industrial predictive maintenance applications. Information, 15(9), 545. https://doi.org/10.3390/info15090545

Snyder, G. J. (2008). Small thermoelectric generators. The Electrochemical Society Interface, 17(3), 54–56. https://doi.org/10.1149/2.f06083if

Twaha, S., Zhu, J., Yan, Y., & Li, B. (2016). A comprehensive review of thermoelectric technology: Materials, applications, modeling and performance improvement. Renewable and Sustainable Energy Reviews, 65, 698–726. https://doi.org/10.1016/j.rser.2016.07.034

Dziedzic, A., Wójcik, S., Gierczak, M., Bernik, S., Brguljan, N., Reinhardt, K., & Körner, S. (2024). Planar thermoelectric microgenerators in application to power RFID tags. Sensors, 24(5), 1646. https://doi.org/10.3390/s24051646

Marcotullio, P. J., Keßler, C., Quintero Gonzalez, R., & Schmeltz, M. (2021). Urban growth and heat in tropical climates. Frontiers in Ecology and Evolution, 9, Article 616626. https://doi.org/10.3389/fevo.2021.616626

Xie, L., Zhai, N., Liu, Y., Wen, Z., & Sun, X. (2021). Hybrid triboelectric nanogenerators: From energy complementation to integration. Research, 2021, Article 9143762. https://doi.org/10.34133/2021/9143762

Saraereh, O. A., Alsaraira, A., Khan, I., & Choi, B. J. (2020). A hybrid energy harvesting design for on-body Internet-of-Things (IoT) networks. Sensors, 20(2), 407. https://doi.org/10.3390/s20020407

Shaukat, H., Ali, A., Ali, S., Altabey, W. A., Noori, M., & Kouritem, S. A. (2023). Applications of sustainable hybrid energy harvesting: A review. Journal of Low Power Electronics and Applications, 13(4), 62. https://doi.org/10.3390/jlpea13040062

Uluşan, H., Chamanian, S., Pathirana, W. P. M. R., Zorlu, Ö., Muhtaroğlu, A., & Külah, H. (2017). A triple hybrid micropower generator with simultaneous multi-mode energy harvesting. Smart Materials and Structures, 27(1), 014002. https://doi.org/10.1088/1361-665x/aa8a09

Jiang, Y., Wang, Y., Yan, J., Shen, L., & Qin, J. (2024). Research on the performance of thermoelectric self-powered systems for wireless sensor based on industrial waste heat. Sensors, 24(18), 5983. https://doi.org/10.3390/s24185983

Cotfas, P., & Cotfas, D. (2020). Comprehensive review of methods and instruments for photovoltaic–thermoelectric generator hybrid system characterization. Energies, 13(22), 6045. https://doi.org/10.3390/en13226045

Dziadak, B. (2023). Hybrid optical and thermal energy conversion system to power internet of things nodes. Energies, 16(20), 7076.https://doi.org/10.3390/en16207076

Alharbey, R., Shafiq, A., Daud, A., Dawood, H., Bukhari, A., & Alshemaimri, B. (2024). Digital twin technology for enhanced smart grid performance: Integrating sustainability, security, and efficiency. Frontiers in Energy Research, 12. https://doi.org/10.3389/fenrg.2024.1397748

Premkumar, M., Pradeep, C., Kumar, C., & Alsharif, M. H. (2023). Automated and smart energy management architectures for critical residential loads: A review. IEEE Access, 11, 41255–41280. https://doi.org/10.1109/ACCESS.2023.3269477

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Published

2026-09-04

How to Cite

Teo, G. (2026). Hybrid Energy Conservation and RFID Management for Sustainable Lighting Loads. International Journal of Education, Research, and Innovation Perspectives, 2(9), 263-271. https://doi.org/10.5281/zenodo.22292255

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