RENEWABLE ENERGY TRANSFORMATION AS A MANIFESTATION OF ISTI'MAR AND AMANAH IN ISLAM: A PSO APPROACH IN NORTH SUMATRA
Abstract
This study proposes an optimization model of the renewable energy mix in North Sumatra using the Particle Swarm Optimization (PSO) method. Five simulation runs were conducted with varying parameters to evaluate the optimal contribution of hydro, geothermal, biomass, biogas, and solar power plants. The simulation results show a consistent pattern, where hydropower contributes the largest share at around 48–52%, followed by geothermal at 18–21%, biomass at 10–13%, biogas at 7–9%, and solar at 6–8%. The fluctuations between simulations are relatively small, reaffirming the robustness of PSO in finding optimal solutions despite differences in initial parameters. The implementation of this model also demonstrates significant potential to reduce dependence on fossil energy, whose maximum capacity is maintained at approximately 1828 MW under the restriction scenario. From an Islamic perspective, the principles of isti’mar (prosperity and stewardship of the earth) and amanah (responsibility) reinforce that this transition is not merely technical but also carries ethical and spiritual dimensions, aligning with the maqasid al-shariah in preserving the environment (hifz al-bi’ah) and wealth (hifz al-mal).
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Abdul Jabar, N. H., Ilham, Z., Saifuddeen, S. M., & Abdul Rahman, N. N. (2016). Green Energy towards Sustainability from the Islamic Perspective. International Journal of Sustainable Future for Human Security, 3(2), 31–34. https://doi.org/10.24910/jsustain/3.2/3134
Bade, S. O., Tomomewo, O. S., Meenakshisundaram, A., Dey, M., Alamooti, M., & Halwany, N. (2025). Multi-Criteria Optimization of a Hybrid Renewable Energy System Using Particle Swarm Optimization for Optimal Sizing and Performance Evaluation. Clean Technologies, 7(1). https://doi.org/10.3390/cleantechnol7010023
Bsoul, L., Omer, A., Kucukalic, L., & Archbold, R. H. (2022). Islam’s Perspective on Environmental Sustainability: A Conceptual Analysis. Social Sciences, 11(6). https://doi.org/10.3390/socsci11060228
Castro, R. C. C. (2019). Hybrid Particle Swarm Optimization and Gravitational Search Algorithm for Optimal Sizing of Hybrid Renewable Energy Systems. Asia-Pacific Power and Energy Engineering Conference, APPEEC, 2019-Decem, 1–6. https://doi.org/10.1109/APPEEC45492.2019.8994699
Elahee, M. K. (2014). Energy Management, Sustainability, and Ethics: An Islamic Perspective. American Journal of Islamic Social Sciences, 31(4), 73–99. https://doi.org/10.35632/ajiss.v31i4.281
Fetanat, A., & Khorasaninejad, E. (2015). Size optimization for hybrid photovoltaic-wind energy system using ant colony optimization for continuous domains based integer programming. Applied Soft Computing Journal, 31, 196–209. https://doi.org/10.1016/j.asoc.2015.02.047
Kennedy, J., & Eberhart, R. (1995). Particle Swarm Optimization. IEEE Transactions on Energy Conversion, 1942–1948.
Khalid, F. M. (2012). Islam and the environment. Religions: A Scholarly Journal, 2012(1), 332–339. https://doi.org/10.5339/rels.2012.environment.3
Liu, J., Chen, X., Cao, S., & Yang, H. (2019). Overview on hybrid solar photovoltaic-electrical energy storage technologies for power supply to buildings. Energy Conversion and Management, 187(February), 103–121. https://doi.org/10.1016/j.enconman.2019.02.080
Mathebula, N. O., Thango, B. A., & Okojie, D. E. (2024). Particle Swarm Optimisation Algorithm-Based Renewable Energy Source Management for Industrial Applications: An Oil Refinery Case Study. Energies, 17(16). https://doi.org/10.3390/en17163929
Mquqwana, M. A., & Krishnamurthy, S. (2024). Particle Swarm Optimization for an Optimal Hybrid Renewable Energy Microgrid System under Uncertainty. Energies, 17(2). https://doi.org/10.3390/en17020422
Nasr, S. H. (1996). Religion & The Order of Nature (1st ed.). Oxford University Press Oxford.
Paul, K., Jyothi, B., Kumar, R. S., Singh, A. R., Bajaj, M., Hemanth Kumar, B., & Zaitsev, I. (2025). Optimizing sustainable energy management in grid connected microgrids using quantum particle swarm optimization for cost and emission reduction. Scientific Reports, 15(1), 1–20. https://doi.org/10.1038/s41598-025-90040-0
Pratama, R. O., Effendy, M., & Zulfatman, Z. (2018). Optimization of Maximum Power Point Tracking (MPPT) Using P&O-Fuzzy and IC-Fuzzy Algorithms on Photovoltaic. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 3(2), 119. https://doi.org/10.22219/kinetik.v3i2.200
Rimbawati, Ambarita, H., Irwanto, M., Sitorus, T. B., & Abdullah, I. (2024). Optimization of Renewable Energy in North Sumatra Using Firefly Algorithm Method Towards Net Zero Emissions. 2024 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2024 - Proceedings, June, 226–231. https://doi.org/10.1109/I2CACIS61270.2024.10649628
Rimbawati, Ambarita, H., Sitorus, T. B., & Irwanto, M. (2025). Artificial Neural Network (ANN) Backpropagation for Forecasting 100% Renewable Energy in North Sumatera. Environmental Research, Engineering and Management, 81(1), 87–101. https://doi.org/10.5755/j01.erem.81.1.37767
Shara, M., & Elmekkawy, T. Y. (2014). Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach. Renewable Energy, 68. https://doi.org/10.1016/j.renene.2014.01.011
Sunarjanto, D., Widarsono, B., Sugihardjo, Suliantara, Atmoko, A. D., Romli, M., Setiawan, H. L., Susantoro, T. M., Suhartono, R., Dwiyanarti, D., & Nurkamelia. (2024). Optimizing the development of renewable energy and fossil energy during the energy transition in Indonesia: A paper review. Proceedings Of The 10th International Conference On Sustainable Energy Engineering And Application 2022 (ICSEEA2022), 020093. https://doi.org/10.1063/5.0206075
Torres-Madroñero, J. L., Nieto-Londoño, C., & Sierra-Pérez, J. (2020). Hybrid energy systems sizing for the colombian context: A genetic algorithm and particle swarm optimization approach. Energies, 13(21), 1–30. https://doi.org/10.3390/en13215648
Ulfah, A., & Cahyadi, A. (2024). Keberlanjutan Dan Teknologi Hijau Dalam Perspektif Islam. Jurnal Penelitian Multidisiplin Terpadu, 8(12), 643–658.
DOI: https://doi.org/10.3059/insis.v0i0.29413
DOI (PDF): https://doi.org/10.3059/insis.v0i0.29413.g14855
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