DOI: https://doi.org/10.14710/ijred.9.2.141-149

Monitoring Floating Solar Tracker Based on Axis Coordinates using LoRa Network

School of Computing, Telkom University, Jl. Telekomunikasi Terusan Buah Batu, Bandung, Indonesia, Indonesia

Received: 8 Dec 2019; Revised: 30 Jan 2020; Accepted: 3 Feb 2020; Available online: 1 May 2020; Published: 15 Jul 2020.
Editor(s): H Hadiyanto
Open Access Copyright (c) 2020 The Authors. Published by Centre of Biomass and Renewable Energy (CBIORE)
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract
This research aimed to build a solar tracker for a floating solar panel and used long–range (LoRa) communication to harvest energy and monitor its process. With the rising demand for renewable energy in these recent years especially for solar energy, it needs to meet this demand to remain relevant for the upcoming years where it will have an even larger impact as we shift into clean energy. Monitoring single–axis solar trackers on rural areas difficult and cost–intensive. The purpose of a floating solar farm is to reduce the cost from buying/renting land. Floating solar panels cannot be monitored using wired because they are moving nodes in the water, it makes wired installation complicated. Hence, using wireless sensornetwork is a solution that allowsremote monitoring of floating solar panels in rural areas and makes moving nodes mentioned above possible. Testing wasperformed by sending 100 packets from the node to its gateway using LoRa modulation, and the gateway successfully received about 90% of the packets sent by the node. The vertical single-axis solar tracker used in floating solar managed to get 17% more energy than the fixed solar with a more stable income for the whole duration of sending 100 packets.
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Keywords: Vertical Single-Axis Solar Tracker; Floating Solar Farm; Wireless Sensor Network; LoRa

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Section: Original Research Article
Language : EN
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  1. Adelantado, F., Vilajosana, X., Tuset-Peiro, P., Martinez, B., Melia-Segui, J., & Watteyne, T. (2017). Understanding the Limits of LoRaWAN. IEEE Communications Magazine. https://doi.org/10.1109/MCOM.2017.1600613
  2. Augustin, A., Yi, J., Clausen, T., & Townsley, W. (2016). A Study of LoRa: Long Range & Low Power Networks for the Internet of Things. Sensors, 16(9), 1466. https://doi.org/10.3390/s16091466
  3. Bor, M. C., Roedig, U., Voigt, T., & Alonso, J. M. (2016). Do LoRa Low-Power Wide-Area Networks Scale?. Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems - MSWiM '16, New York, USA. https://doi.org/10.1145/2988287.2989163
  4. Bushong, S. (2016). Advantages and disadvantages of a solar tracker system. https://www.solarpowerworldonline.com/ 2016/05/advantages-disadvantages-solar-tracker-system/. Accessed on 6 September 2019
  5. Chin, C. S., Babu, A., & McBride, W. (2011). Design, modeling, and, testing of a standalone single axis active solar tracker using MATLAB/Simulink. Renewable Energy, 36(11), 30753090. https://doi.org/10.1016/j.renene.2011.03.026
  6. Choi, Y.-K. (2014). A Study on Power Generation Analysis of Floating PV System Considering Environmental Impact. International Journal of Software Engineering and Its Applications, 8(1) ,75-84. https://doi.org/10.14257/ijseia.2014.8.1.07
  7. Georgiou, O., & Raza, U. (2017). Low Power Wide Area Network Analysis: Can LoRa Scale?. IEEE Wireless Communications Letters. https://doi.org/10.1109/LWC.2016.2647247
  8. Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly: Management Information Systems. https://doi.org/10.2307/25148625
  9. Hoeller, A., Souza, R. D., Lopez, O. L. A., Alves, H., de Noronha Neto, M., & Brante, G. (2018). Analysis and Performance Optimization of LoRa Networks With Time and Antenna Diversity. IEEE Access, 6, 32820-32829. https://doi.org/10.1109/ACCESS.2018.2839064
  10. Hui, S. F., Ho, H. F., Chan, W. W., Chan, K. W., Lo, W. C., & Cheng, K. W. E. (2017). Floating solar cell power generation, power flow design and its connection and distribution. 7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer & Security (PESA). https://doi.org/10.1109/PESA.2017.8277783
  11. Lavric, A., & Popa, V. (2017). Internet of Things and LoRa™ LowPower Wide-Area Networks: A survey. 2017 International Symposium on Signals, Circuits and Systems (ISSCS). https://doi.org/10.1109/ISSCS.2017.8034915
  12. Lee, J. F., and Rahim, N. A. (2013). Performance comparison of dual-axis solar tracker vs static solar system in Malaysia. IEEE Conference on Clean Energy and Technology (CEAT). https://doi.org/10.1109/CEAT.2013.6775608
  13. Lee, W. K., Schubert, M. J. W., Ooi, B. Y., & Ho, S. J. Q. (2018). Multi-Source Energy Harvesting and Storage for Floating Wireless Sensor Network Nodes with Long Range Communication Capability. IEEE Transactions on Industry Applications. https://doi.org/10.1109/TIA.2018.2799158
  14. LoRa Alliance. (2018). LoRaWAN 1.0.3 specification. https://loraalliance.org/. Accessed on 6 September 2019
  15. Luque, A. L., & Viacheslav, A. (2007). Concentrator Photovoltaics. Berlin, Heidelberg: Springer Berlin Heidelberg, 130. https://doi.org/10.1007/978-3-540-68798-6
  16. Luque, H. I., Quéméré, G., Cervantes, R., Laurent, O., Chiappori, E., & Chong, J. Y. (2012). The Sun Tracker in Concentrator Photovoltaics. Springer Series in Optical Sciences, 61-93. https://doi.org/10.1007/978-3-642-23369-2_3
  17. Mabon, M., Gautier, M., Vrigneau, B., Gentil, M. L., & Berder, O. (2019). The Smaller the Better: Designing Solar Energy Harvesting Sensor Nodes for Long-Range Monitoring. Hindawi, Wireless Communications and Mobile Computing. https://doi.org/10.1155/2019/2878545
  18. Omar, M. F., Trigunarsyah, B., & Wong, J. (2009). A design science approach for consultant selection decision support system. 4th International Conference on Cooperation and Promotion of Information Resources in Science and Technology. https://doi.org/10.1109/COINFO.2009.73
  19. Peffers, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of Management Information Systems. https://doi.org/10.2753/MIS0742-1222240302
  20. Rani, P., Singh, O., & Pandey, S. (2018). An Analysis on Arduino based Single Axis Solar Tracker. 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON). https://doi.org/10.1109/UPCON.2018.8596874
  21. Sahu, A., Yadav, N., & K. Sudhakar. (2016). Floating photovoltaic power plant: A review. Renewable and Sustainable Energy Reviews, 66, 815-824. https://doi.org/10.1016/j.rser.2016.08.051
  22. Shuda, J. E., Rix, A. J., & Booysen, M. J. (2018). Towards ModuleLevel Performance and Health Monitoring of Solar PV Plants Using LoRa Wireless Sensor Networks. IEEE PES/IAS PowerAfrica https://doi.org/10.1109/PowerAfrica.2018.8521179
  23. Shufat, S. A. A., Kurt, E., & Hancerlioğulları, A. (2016). Modeling and Design of Azimuth-Altitude Dual Axis Solar Tracker for Maximum Solar Energy Generation. International Journal of Renewable Energy Development, 8(1), 7-13. https://doi.org/10.14710/ijred.8.1.7-13
  24. Tsao, W. C., Zeng, Q. C., Yeh, Y. H., Tsai, C. H., Hong, H. F., Chen, C. Y., Lin, T. Y., Huang, Y. Y., Tsao, C. W., Pan, J. W., & Wang, C. M. (2019). Efficiency evaluation of a hybrid miniaturized concentrated photovoltaic for harvesting direct/diffused solar light. Journal of Optics, 21(3), 35901. https://doi.org/10.1088/2040-8986/aafd7a
  25. Vangelista, L. (2017). Frequency Shift Chirp Modulation: ThLoRa Modulation. IEEE Signal Processing Letters. https://doi.org/10.1109/LSP.2017.2762960
  26. Wang, S., Leblanc, S. G., Fernandes, R., & Cihlar, J. (2002) Diurnal variation of direct and diffuse radiation and its impact on surface albedo. International Geoscience and Remote Sensing Symposium (IGARSS)
  27. Wardana, A. A., Rakhmatsyah, A., Minarno, A. E., & Anbiya, D. R. (2019). Internet of Things Platform for Manage Multiple Message Queuing Telemetry Transport Broker Server. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 4(3), 197. https://doi.org/10.22219/kinetik.v4i3.841

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