Energy efficiency on public street lighting using LTE lamp based IoT control
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Published:
Feb 28, 2025
Keywords:
Energy efficiency, IoT control, LTE lamp, Public street lighting
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Informtion System
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Abstract
Nowadays, The Medan city has developed public street lighting along the protocol highways. The government has spent billions bugdet to readiness. The estimated electrical consumption for public street lighting will be 47.06 MW by 2025. Therefore, energy efficiency is required to complete the system of public street lighting. This research use LTE lamp to control electrical consumption for lamps. There are 4 main components, namely LTE Lamp Controller, which is including a LoRa component, light sensors BH1750, SIM card, and fuzzy logic program. Cloud server as a storage for measurement data. Monitoring devices as laptop or smartphone. GSM network as interface networking between LTE lamp controller and cloud server. The sunlight intensity affected to the dimming value of the lamp. It uses fuzzy logic to regulates the switching of lamps. LTE lamp controller supports the dimming mode such as 0-10V dimmer. This voltage directly correlates to the light output. At 10 Volt, the lamp should produce 100% light. At 0 Volt, 0% lighting output or off. Based on the result, The highest of sunlight intensity is 7796 lux generating the voltage of 1 Volt (lamp off). The lowest of sunlight intensity is 1028 lux generating the voltage of 7 Volt (lamp on
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Lubis, F., Sundawa, B. V., Cholish, C. and Abdullah, A. (2025) “Energy efficiency on public street lighting using LTE lamp based IoT control ”, Jurnal Mantik, 8(4), pp. 1803-1810. doi: 10.35335/mantik.v8i4.6133.
References
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Verma, A., Prakash, S., & Kumar, A. (2023). AI-based Building Management and Information System with Multi-agent Topology for an Energy-efficient Building: Towards Occupants Comfort. IETE Journal of Research, 69(2). https://doi.org/10.1080/03772063.2020.1847701
Vetter, C., Pattison, P. M., Houser, K., Herf, M., Phillips, A. J. K., Wright, K. P., Skene, D. J., Brainard, G. C., Boivin, D. B., & Glickman, G. (2022). A Review of Human Physiological Responses to Light: Implications for the Development of Integrative Lighting Solutions. In LEUKOS - Journal of Illuminating Engineering Society of North America (Vol. 18, Issue 3). https://doi.org/10.1080/15502724.2021.1872383
Villa, F., Severini, F., Madonini, F., & Zappa, F. (2021). Spads and sipms arrays for long?range high?speed light detection and ranging (Lidar). In Sensors (Vol. 21, Issue 11). https://doi.org/10.3390/s21113839
Voskresenskaya, E., Vorona-Slivinskaya, L., & Tilinin, Y. (2020). Intelligent street lighting technologies for transport operation. IOP Conference Series: Materials Science and Engineering, 918(1). https://doi.org/10.1088/1757-899X/918/1/012083
Yusuf, A. N. A., Arifin, A. S., & Zulkifli, F. Y. (2021). Recent development of smart traffic lights. IAES International Journal of Artificial Intelligence, 10(1). https://doi.org/10.11591/ijai.v10.i1.pp224-233
Zhao, J., Lyons, A., Ulku, A. C., Defienne, H., Faccio, D., & Charbon, E. (2022). Light detection and ranging with entangled photons. Optics Express, 30(3). https://doi.org/10.1364/oe.435898
Boulmrharj, S., Bakhouya, M., & Khaidar, M. (2023). Green hydrogen for public transportation fueling and street lighting electrification: Towards more sustainable Moroccan cities. Sustainable Production and Consumption, 36. https://doi.org/10.1016/j.spc.2022.12.018
Chiradeja, P., & Yoomak, S. (2023). Development of public lighting system with smart lighting control systems and internet of thing (IoT) technologies for smart city. Energy Reports, 10. https://doi.org/10.1016/j.egyr.2023.10.027
D’Angiolini, G., Gal, A., Ton, M. K., Puddu, S., & Carreau, S. (2021). Lighting the way to social equality. Eceee Summer Study Proceedings.
Durmus, D., Hu, W., & Davis, W. (2022). Lighting application efficacy: A framework for holistically measuring lighting use in buildings. Frontiers in Built Environment, 8. https://doi.org/10.3389/fbuil.2022.986961
Eriyadi, M., Abdullah, A. G., Hasbullah, & Mulia, S. B. (2021). Internet of things and fuzzy logic for smart street lighting prototypes. IAES International Journal of Artificial Intelligence, 10(3). https://doi.org/10.11591/ijai.v10.i3.pp528-535
Fachrudin, M. A., Abidin, Z., & Bachri, A. (2021). THE DESIGN OF AN AUTOMATIC SAVING SYSTEM FOR ELECTRIC ENERGY IN MICROCONTROLLER-BASED PJU LIGHTS. JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science), 4(1). https://doi.org/10.26905/jeemecs.v4i1.4402
Fuchtenhans, M., Grosse, E. H., & Glock, C. H. (2019). Use Cases and Potentials of Smart Lighting Systems in Industrial Settings. IEEE Engineering Management Review, 47(4). https://doi.org/10.1109/EMR.2019.2947371
Gupta, P. S. K. (2019). Life-Cycle Costing of Energy - Efficient Measures for Architectural Building. International Journal for Research in Applied Science and Engineering Technology, 7(8). https://doi.org/10.22214/ijraset.2019.8009
Hassan, E., Khalil, Y., & Ahmad, I. (2024). Learning deep feature fusion for traffic light detection. Journal of Engineering Research (Kuwait), 12(1). https://doi.org/10.1016/j.jer.2023.100066
Herningtyas, R., & Yulianti, F. (2023). Revitalization of Public Street Lighting Facilities in Padukuhan Kranggan Tengah Galur Kulon Progo. Proceeding International Conference of Technology on Community and Environmental Development, 1(1). https://doi.org/10.18196/ictced.v1i1.49
Hossain, J., Algeelani, N. A., Hamood Al-Masoodi, A. H., & Kadir, A. F. A. (2022). Solar-wind power generation system for street lighting using internet of things. Indonesian Journal of Electrical Engineering and Computer Science, 26(2). https://doi.org/10.11591/ijeecs.v26.i2.pp639-647
Huang, S., Zhu, X., Sarkar, S., & Zhao, Y. (2019). Challenges and opportunities for supercapacitors. APL Materials, 7(10). https://doi.org/10.1063/1.5116146
Kang, J., Zheng, C., Khan, K., Tareen, A. K., Aslam, M., & Wang, B. (2020). Two dimensional nanomaterials-enabled smart light regulation technologies: Recent advances and developments. Optik, 220. https://doi.org/10.1016/j.ijleo.2020.165191
Lutfi Hadi Azizul Adry, Muhammad Alif Najmi Ahmad Tarmizi, Rafiza Ruslan, Ahmad Yusri Dak, & Rashidah Ramle. (2023). Smart Traffic Light Prototype Implementation using LoRa Technology. Applied Mathematics and Computational Intelligence (AMCI), 12(4). https://doi.org/10.58915/amci.v12i4.350
Owusu-Manu, D. G., Quaigrain, R. A., Edwards, D. J., Hammond, M., Hammond, M., & Roberts, C. (2022). Energy conservation literacy among households in Sub-Sahara Africa. International Journal of Energy Sector Management, 16(6). https://doi.org/10.1108/IJESM-09-2021-0010
Rahm, J., & Johansson, M. (2021). Assessment of outdoor lighting: Methods for capturing the pedestrian experience in the field. Energies, 14(13). https://doi.org/10.3390/en14134005
Ray, M., Samal, P., & Panigrahi, C. K. (2023). The influencing factors on efficacy enhancement of HVAC systems – A review. Materials Today: Proceedings, 80. https://doi.org/10.1016/j.matpr.2021.07.264
Ustinov, D. A., & Khomiakov, K. A. (2022). Determination of Dynamic Characteristics for Predicting Electrical Load Curves of Mining Enterprises †. Electricity, 3(2). https://doi.org/10.3390/electricity3020010
Verma, A., Prakash, S., & Kumar, A. (2023). AI-based Building Management and Information System with Multi-agent Topology for an Energy-efficient Building: Towards Occupants Comfort. IETE Journal of Research, 69(2). https://doi.org/10.1080/03772063.2020.1847701
Vetter, C., Pattison, P. M., Houser, K., Herf, M., Phillips, A. J. K., Wright, K. P., Skene, D. J., Brainard, G. C., Boivin, D. B., & Glickman, G. (2022). A Review of Human Physiological Responses to Light: Implications for the Development of Integrative Lighting Solutions. In LEUKOS - Journal of Illuminating Engineering Society of North America (Vol. 18, Issue 3). https://doi.org/10.1080/15502724.2021.1872383
Villa, F., Severini, F., Madonini, F., & Zappa, F. (2021). Spads and sipms arrays for long?range high?speed light detection and ranging (Lidar). In Sensors (Vol. 21, Issue 11). https://doi.org/10.3390/s21113839
Voskresenskaya, E., Vorona-Slivinskaya, L., & Tilinin, Y. (2020). Intelligent street lighting technologies for transport operation. IOP Conference Series: Materials Science and Engineering, 918(1). https://doi.org/10.1088/1757-899X/918/1/012083
Yusuf, A. N. A., Arifin, A. S., & Zulkifli, F. Y. (2021). Recent development of smart traffic lights. IAES International Journal of Artificial Intelligence, 10(1). https://doi.org/10.11591/ijai.v10.i1.pp224-233
Zhao, J., Lyons, A., Ulku, A. C., Defienne, H., Faccio, D., & Charbon, E. (2022). Light detection and ranging with entangled photons. Optics Express, 30(3). https://doi.org/10.1364/oe.435898
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