Adaptive Energy Balance Control System via State of Charge (SoC) for a Sustainable Solar-Powered Outdoor-Hydroponics in Tropical Islands

Authors

DOI:

https://doi.org/10.31436/iiumej.v27i1.3780

Keywords:

Adaptive Energy Management, State of Charge, Power Allocation, Environmental Condition

Abstract

Efficient energy management is essential for sustaining outdoor hydroponics systems powered by solar energy, particularly in tropical island environments where sunlight and rainfall vary throughout the day. To address this, a solar-powered hydroponics system was developed with an adaptive energy balance control strategy based on the State of Charge (SoC). The system requires reliable real-time monitoring and decision-making, achieved by integrating voltage, current (ACS712), light-dependent resistors (LDR), and flow sensors, along with an ESP32 microcontroller for data acquisition and control logic. The adaptive control method dynamically regulates power consumption by adjusting the water pump's operation in response to SoC levels, solar radiation, and rainfall. Experimental validation shows the system maintains the battery’s SoC above 55%, ensuring power availability while optimizing energy use. Pump operation is disabled during rainfall and minimized at night to prevent deep discharge, enhancing overall system stability. Daytime solar charging is complemented by controlled discharge during non-solar hours, improving energy sustainability. The results confirm the effectiveness of the proposed strategy in reducing unnecessary energy consumption, improving system reliability, and supporting continuous hydroponic cultivation under varying tropical conditions.

ABSTRAK: Pengurusan tenaga yang cekap amat penting bagi memastikan kelestarian sistem hidroponik luar yang menggunakan tenaga solar, terutama di kawasan pulau tropika yang mempunyai corak cahaya matahari dan perubahan hujan sepanjang hari. Bagi memenuhi keperluan ini, satu sistem hidroponik berkuasa solar telah dibangunkan dengan strategi kawalan imbangan tenaga adaptif berasaskan State of Charge (SoC). Sistem ini memerlukan pemantauan masa nyata dan keupayaan membuat keputusan terpercayai, dicapai melalui integrasi penderia voltan, arus (ACS712), LDR (Rintangan Peka Cahaya), dan aliran, serta mikropengawal ESP32 bagi pemerolehan data dan logik kawalan. Kaedah kawalan adaptif ini mengatur penggunaan tenaga secara dinamik dengan melaras operasi pam air berdasarkan tahap SoC, intensiti cahaya matahari, dan keadaan hujan. Dapatan kajian menunjukkan sistem ini mampu mengekalkan SoC bateri melebihi 55%, sekaligus memastikan bekalan kuasa yang stabil sambil mengoptimum penggunaan tenaga. Operasi pam dihentikan semasa hujan dan dikurangkan pada waktu malam bagi mengelakkan nyahcas bateri berlebihan, seterusnya meningkatkan kestabilan sistem. Pengecasan bateri pada waktu siang dilengkapi dengan penyahcasan terkawal semasa tanpa cahaya matahari, sekaligus memperkukuh kemampanan tenaga. Dapatan kajian membuktikan bahawa strategi kawalan ini berkesan dalam mengurangkan penggunaan tenaga tidak diperlukan, meningkatkan kebolehpercayaan sistem, dan menyokong penanaman hidroponik berterusan dalam persekitaran tropika yang dinamik.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

Rahman, M. M., Khan, I., Field, D. L., Techato, K., & Alameh, K. (2022). Powering agriculture: Present status, future potential, and challenges of renewable energy applications. Renewable Energy, 188, 731-749. https://doi.org/10.1016/j.renene.2022.02.065. DOI: https://doi.org/10.1016/j.renene.2022.02.065

Majeed, Y., Khan, M. U., Waseem, M., Zahid, U., Mahmood, F., Majeed, F., ... & Raza, A. (2023). Renewable energy as an alternative source for energy management in agriculture. Energy Reports, 10, 344-359. https://doi.org/10.1016/j.egyr.2023.06.032 DOI: https://doi.org/10.1016/j.egyr.2023.06.032

Wang, T., Wu, G., Chen, J., Cui, P., Chen, Z., Yan, Y., ... & Chen, H. (2017). Integration of solar technology to modern greenhouse in China: Current status, challenges and prospect. Renewable and Sustainable Energy Reviews, 70, 1178-1188. https://doi.org/10.1016/j.rser.2016.12.020. DOI: https://doi.org/10.1016/j.rser.2016.12.020

Kumar, C. M. S., Singh, S., Gupta, M. K., Nimdeo, Y. M., Raushan, R., Deorankar, A. V., ... & Nannaware, A. D. (2023). Solar energy: A promising renewable source for meeting energy demand in Indian agriculture applications. Sustainable Energy Technologies and Assessments, 55, 102905. https://doi.org/10.1016/j.seta.2022.102905. DOI: https://doi.org/10.1016/j.seta.2022.102905

Chopra, R., Magazzino, C., Shah, M. I., Sharma, G. D., Rao, A., & Shahzad, U. (2022). The role of renewable energy and natural resources for sustainable agriculture in ASEAN countries: do carbon emissions and deforestation affect agriculture productivity?. Resources Policy, 76, 102578. https://doi.org/10.1016/j.resourpol.2022.102578. DOI: https://doi.org/10.1016/j.resourpol.2022.102578

Setiartiti, L. (2021). Critical point of view: The challenges of agricultural sector on governance and food security in Indonesia. In E3S Web of Conferences (Vol. 232, p. 01034). EDP Sciences. https://doi.org/10.1051/e3sconf/202123201034. DOI: https://doi.org/10.1051/e3sconf/202123201034

Siregar, A., Darwanto, D., , I., Mulyo, J., , J., Utami, A., Pranyoto, A., , S., Perwitasari, H., Wirakusuma, G., Widada, A., Fadhliani, Z., & Widjanarko, N. (2024). The Trend of Agricultural Sector Resilience in Indonesia During 2008-2020. Journal of Agricultural Sciences – Sri Lanka. https://doi.org/10.4038/jas.v19i2.10154. DOI: https://doi.org/10.4038/jas.v19i2.10154

Kurnianto, B. (2024). The Future of Agriculture in Indonesia: Facing Climate Change and Globalization. West Science Agro. https://doi.org/10.58812/wsa.v2i04.1309. DOI: https://doi.org/10.58812/wsa.v2i04.1309

Imtihan, K., Harjadi, B., Ilahude, Z., Bandrang, T., Azmi, Y., , N., & Andiyan, A. (2024). Green Energy Growth: Enhancing Agricultural Sustainability through Agrivoltaic Solutions in the Modern Era. EVOLUTIONARY STUDIES IN IMAGINATIVE CULTURE. https://doi.org/10.70082/esiculture.vi.780. DOI: https://doi.org/10.70082/esiculture.vi.780

Novaldo, E., Dewi, T., & , R. (2022). Solar Energy as an Alternative Energy Source in Hydroponic Agriculture: A Pilot Study. 2022 International Conference on Electrical and Information Technology (IEIT), 202-205. https://doi.org/10.1109/IEIT56384.2022.9967806. DOI: https://doi.org/10.1109/IEIT56384.2022.9967806

Parajuli, S., Bhattarai, T. N., Gorjian, S., Vithanage, M., & Paudel, S. R. (2023). Assessment of potential renewable energy alternatives for a typical greenhouse aquaponics in Himalayan Region of Nepal. Applied Energy, 344, 121270. https://doi.org/10.1016/j.apenergy.2023.121270. DOI: https://doi.org/10.1016/j.apenergy.2023.121270

Bakar, Z.A., Nor, M.Z.M., Kadiran, K.A., Misnan, M.F., Noorezam, M. (2022). Smart Plant Monitoring System Using Aquaponics Production Technological with Arduino Development Environment (IDE) and SMS Alert: A Prototype. International Journal of Interactive Mobile Technologies 2022, 16, 32-47. https://doi.org/10.3991/ijim.v16i22.34581. DOI: https://doi.org/10.3991/ijim.v16i03.28499

Sambo, P., Nicoletto, C., Giro, A., Pii, Y., Valentinuzzi, F., Mimmo, T., Lugli, P., Orzes, G., Mazzetto, F., Astolfi, S., Terzano, R., & Cesco, S. (2019). Hydroponic Solutions for Soilless Production Systems: Issues and Opportunities in a Smart Agriculture Perspective. Frontiers in Plant Science, 10. https://doi.org/10.3389/fpls.2019.00923. DOI: https://doi.org/10.3389/fpls.2019.00923

Chaiwongsai, J. (2019). Automatic Control and Management System for Tropical Hydroponic Cultivation. 2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4. https://doi.org/10.1109/ISCAS.2019.8702572. DOI: https://doi.org/10.1109/ISCAS.2019.8702572

Rajendran, S., Domalachenpa, T., Arora, H., Li, P., Sharma, A., & Rajauria, G. (2024). Hydroponics: Exploring innovative sustainable technologies and applications across crop production, with Emphasis on potato mini-tuber cultivation. Heliyon, 10. https://doi.org/10.1016/j.heliyon.2024.e26823. DOI: https://doi.org/10.1016/j.heliyon.2024.e26823

Majid, M., Khan, J., Shah, Q., Masoodi, K., Afroza, B., & Parvaze, S. (2020). Evaluation of hydroponic systems for the cultivation of Lettuce (Lactuca sativa L., var. Longifolia) and comparison with protected soil-based cultivation. Agricultural Water Management, 106572. https://doi.org/10.1016/j.agwat.2020.106572. DOI: https://doi.org/10.1016/j.agwat.2020.106572

Sharma, N., Acharya, S., Kumar, K., Singh, N., & Chaurasia, O. (2018). Hydroponics as an advanced technique for vegetable production: An overview. Journal of Soil and Water Conservation, 17, 364-371. https://doi.org/10.5958/2455-7145.2018.00056.5. DOI: https://doi.org/10.5958/2455-7145.2018.00056.5

Sousa, R., Bragança, L., Da Silva, M. V., & Oliveira, R. S. (2024). Challenges and Solutions for Sustainable Food Systems: The Potential of Home Hydroponics. Sustainability 2024, 16, 817. https://doi.org/10.3390/su16020817. DOI: https://doi.org/10.3390/su16020817

Ghiasi, M., Wang, Z., Mehrandezh, M., & Paranjape, R. (2023). A Systematic Review of Optimal and Practical Methods in Design, Construction, Control, Energy Management and Operation of Smart Greenhouses. IEEE Access. https://doi.org/10.1109/ACCESS.2023.3346436. DOI: https://doi.org/10.1109/ACCESS.2023.3346436

Gao, X., Lin, H., Jing, D., & Zhang, X. (2024). Multi-Objective energy management of Solar-Powered integrated energy system under forecast uncertainty based on a novel Dual-Layer correction framework. Solar Energy, 281, 112902. https://doi.org/10.1016/j.solener.2024.112902. DOI: https://doi.org/10.1016/j.solener.2024.112902

Sengupta, M., Habte, A., Wilbert, S., Gueymard, C., Remund, J., Lorenz, E., ... & Jensen, A. R. (2024). Best practices handbook for the collection and use of solar resource data for solar energy applications (No. NREL/TP-5D00-88300). National Renewable Energy Laboratory (NREL), Golden, CO (United States). https://doi.org/10.2172/1778700. DOI: https://doi.org/10.2172/1778700

Satria, H., Syah, R., & Silviana, N. A. (2023). Sensitivity of solar panel energy conversion at sunrise and sunset on three weather fluctuations in equatorial climate. International Journal of Electrical & Computer Engineering (2088-8708), 13(3). https://doi.org/10.11591/ijece.v13i3.pp2449-2458 DOI: https://doi.org/10.11591/ijece.v13i3.pp2449-2458

Meng, K., Wu, H., Fan, D., Zhou, Z., Zhang, Z., & Liu, Q. (2024). Research on the strategy for average consensus control of flywheel energy storage array system based on lifecycle. Journal of Energy Storage, 99, 113409. https://doi.org/10.1016/j.est.2024.113409. DOI: https://doi.org/10.1016/j.est.2024.113409

Jeevarajan, J. A., Joshi, T., Parhizi, M., Rauhala, T., & Juarez-Robles, D. (2022). Battery hazards for large energy storage systems. https://doi.org/10.1021/acsenergylett.2c01400. DOI: https://doi.org/10.1021/acsenergylett.2c01400

Ruetschi, P. (2004). Aging mechanisms and service life of lead–acid batteries. Journal of power sources, 127(1-2), 33-44. https://doi.org/10.1016/j.jpowsour.2003.09.052 DOI: https://doi.org/10.1016/j.jpowsour.2003.09.052

Orikpete, O. F., Ikemba, S., & Ewim, D. R. E. (2023). Integration of renewable energy technologies in smart building design for enhanced energy efficiency and self-sufficiency. The Journal of Engineering and Exact Sciences, 9(9), 16423-01e. https://doi.org/10.18540/jcecvl9iss9pp16423-01e. DOI: https://doi.org/10.18540/jcecvl9iss9pp16423-01e

Etukudoh, E. A., Fabuyide, A., Ibekwe, K. I., Sonko, S., & Ilojianya, V. I. (2024). Electrical engineering in renewable energy systems: a review of design and integration challenges. Engineering Science & Technology Journal, 5(1), 231-244. https://doi.org/10.51594/estj.v5i1.746. DOI: https://doi.org/10.51594/estj.v5i1.746

Misnan, M.F., Thamrin, N.M., Ibrahim, N.N.L. (2022). Smart Sustainable Water monitoring system via internet of things (IoT) for water retention pond UiTM cawangan Johor, Kampus Pasir Gudang. International Journal of Sustainable Construction Engineering and Technology, 13, 1-7. https://doi.org/10.30880/ijscet.2022.13.02.001 DOI: https://doi.org/10.30880/ijscet.2022.13.02.001

Demirci, O., Taskin, S., Schaltz, E., & Demirci, B. A. (2024). Review of battery state estimation methods for electric vehicles-Part I: SOC estimation. Journal of Energy Storage, 87, 111435. https://doi.org/10.1016/j.est.2024.111435. DOI: https://doi.org/10.1016/j.est.2024.111435

Sorouri, H., Oshnoei, A., Che, Y., & Teodorescu, R. (2024). A comprehensive review of hybrid battery state of charge estimation: Exploring physics-aware AI-based approaches. Journal of Energy Storage, 100, 113604. https://doi.org/10.1016/j.est.2024.113604. DOI: https://doi.org/10.1016/j.est.2024.113604

Afshar, Z., Bhogaraju, I., Rahmanei, H., & Farasat, M. (2024). Hierarchical Frequency and SOC Control of Power Grids With Battery Energy Storage Systems. IEEE Transactions on Power Electronics, 39, 7925-7937. https://doi.org/10.1109/TPEL.2024.3383293. DOI: https://doi.org/10.1109/TPEL.2024.3383293

Cao, H., Li, X., Guo, L., & Liu, X. (2024). SOC Balance of Islanded DC Microgrid Based on Consensus Algorithm and Adaptive Droop Control. 2024 Second International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE), 1-5. https://doi.org/10.1109/ICCSIE61360.2024.10698482. DOI: https://doi.org/10.1109/ICCSIE61360.2024.10698482

Chiasson, J., & Vairamohan, B. (2005). Estimating the state of charge of a battery. IEEE Transactions on Control Systems Technology, 13, 465-470. https://doi.org/10.1109/TCST.2004.839571. DOI: https://doi.org/10.1109/TCST.2004.839571

Bandhauer, T. M., Garimella, S., & Fuller, T. F. (2015). A critical review of thermal issues in lithium-ion batteries. In M. Wild (Ed.), The future of battery production for electric vehicles (pp. 193–222). Woodhead Publishing. https://doi.org/10.1016/B978-1-78242-090-3.00009-2 DOI: https://doi.org/10.1016/B978-1-78242-090-3.00009-2

Sun, S., Zhang, Q., Sun, J., Cai, W., Zhou, Z., Yang, Z., & Wang, Z. (2022). Lead–Acid Battery SOC Prediction Using Improved AdaBoost Algorithm. Energies, 15(16), 5842. DOI: https://doi.org/10.3390/en15165842

Fang, H., Wang, Y., Sahinoglu, Z., Wada, T., & Hara, S. (2014). State of charge estimation for lithium-ion batteries: An adaptive approach. Control Engineering Practice, 25, 45-54. https://doi.org/10.1016/J.CONENGPRAC.2013.12.006. DOI: https://doi.org/10.1016/j.conengprac.2013.12.006

Hu, X., Li, S., Peng, H., & Sun, F. (2012). Robustness analysis of State-of-Charge estimation methods for two types of Li-ion batteries. Journal of Power Sources, 217, 209-219. https://doi.org/10.1016/J.JPOWSOUR.2012.06.005. DOI: https://doi.org/10.1016/j.jpowsour.2012.06.005

Zhao, X., Jung, S., Wang, B., & Xuan, D. (2023). State of charge estimation of lithium-ion battery based on improved adaptive boosting algorithm. Journal of Energy Storage. https://doi.org/10.1016/j.est.2023.108047. DOI: https://doi.org/10.1016/j.est.2023.108047

Downloads

Published

2026-01-12

How to Cite

Juherwin, M., Misnan, M. F., Abdul Kudus, S., & Sato, A. (2026). Adaptive Energy Balance Control System via State of Charge (SoC) for a Sustainable Solar-Powered Outdoor-Hydroponics in Tropical Islands. IIUM Engineering Journal, 27(1), 304–320. https://doi.org/10.31436/iiumej.v27i1.3780

Issue

Section

Mechatronics and Automation Engineering