Optimization of Electrical Energy Management in Hu’u Mining Operations Using a Smart Grid Approach to Support Sustainable Development in Dompu

Main Article Content

Saskya Indira Wardhani
Ranjiv A.A Sihombing
M. Ahleyani
Wahyu Tabah Utomo
Dini Shobihah Ramadhani

Abstract

This study aims to optimize electrical energy management in Hu’u mining operations, Dompu Regency, through the implementation of a smart grid approach to support sustainable development. The research adopts a quantitative method by analyzing existing energy systems, load profiles, and energy consumption patterns, followed by simulation using hybrid energy models integrating diesel generators, solar photovoltaic (PV) systems, and energy storage. The proposed smart grid framework incorporates Internet of Things (IoT)-based monitoring, real-time data acquisition, and optimization algorithms to improve system efficiency and reliability. The results indicate that the smart grid approach significantly reduces fuel consumption, operational costs, and greenhouse gas emissions while enhancing energy efficiency and system stability. Economic analysis shows that the system is financially feasible with a favorable payback period, while environmental evaluation confirms its contribution to emission reduction and sustainable resource management. Furthermore, the integration of renewable energy and intelligent control systems strengthens the resilience of mining operations in remote areas. This study concludes that smart grid-based energy management provides an effective and sustainable solution for mining operations in Dompu and can serve as a reference for similar projects in other regions.

Downloads

Download data is not yet available.

Article Details

Section

Articles

References

Ahleyani, M. &. (2025). Biogas Energy Prediction as a Green Energy Producer in West Lombok Using a Statistical Approach. International Journal of Informatics and Computation, 7(1), 178-192.

Amin, S. M. (2005). Toward a smart grid: Power delivery for the 21st century. IEEE Power and Energy Magazine, 3(5),, 34–41. .

Barra, L. X. (2023). Initiating smart grid techniques for efficient energy management. Journal of Moeslim Research Technik, 5(2), 112–120.

Cioara, T. P. (2020). Smart grid management using blockchain: Future scenarios and challenges. Future Generation Computer Systems, 102, 571–581.

El Maghraoui, A. L. (2022). Smart energy management: A comparative study of energy consumption forecasting algorithms for an experimental open-pit mine. Energies, 15(13), 4569.

Fakhara, A. H. (2023). Smart grid mechanism for green energy management: A comprehensive review. . nternational Journal of Green Energy, 20(5), 521–538.

Kumar, A. S. (2025). Techniques of energy management in smart grid. . Journal of Electrical Systems, 21(1), 45–58.

Lee, J. B. (2015). A cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3,, 18–23.

Mahmood, A. F. (2013). Home energy management in smart grid. . International Journal of Distributed Sensor Networks, 9(5), 1–10. .

Malcom, A. (2024). Smart grid technologies and their role in sustainable energy management. . International Journal of Computing and Engineering, 6(1), 77–89.

Meliani, M. E. (2021). Energy management in the smart grid: State-of-the-art and future trends. . International Journal of Electrical Engineering Education, 60(2), 1–20.

Miceli, R. (2013). Energy management and smart grids. Energies, 6(4), 2262–2290. .

Norgate, T. &. (2010). Energy and greenhouse gas impacts of mining and mineral processing operations. Journal of Cleaner Production, 18(3), 266–274.

Putri, G. H. (2025). Theoretical Framework for Assessing Water Availability and Cropping Pattern Optimization in Irrigation Systems: A Case of Batu Nampar Irrigation Area. . Jurnal Teknologi dan Rekayasa Sipil, 4(2), 44-60.

Ramadhan, D. &. (2025). Efektivitas Sistem Seedtrack Berbasis Blockchain Dalam Tata Kelola Lingkungan Hutan Rakyat. . Jurnal Nawala Politika, 3(1), 49-68.

Ramadhan, D. A. (2025). SINERGISTA (Agrotourism Synergy): A Sustainable Tourism Development Strategy Based on Digitalization Through the Pentahelix Collaboration Model to Support the 2030 SDGs. . The Eastasouth Journal of Information System and Computer Science, 3(1), 125-138.

Ranjiv A.A Sihombing, e. (2025). Utilization of Sugarcane Bagasse Waste forEco-Friendly Roofing: Synergy of Agrowaste Management and Sustainable Architecture . Nexus: Journal of Cross-Disciplinary Insights, 1(1), 45-56.

Rathor, S. K. (2020). Energy management system for smart grid: An overview and key issues. International Journal of Energy Research, 44(6), 4067–4109. .

Sakhnini, J. K. (2020). Security aspects of IoT-aided smart grids: A bibliometric survey. IEEE Access, 8, 64481–64495.

Shen, H. L. (2020). An efficient aggregation scheme for smart grid energy management. IEEE Access, 8,, 123–135. .

Syahputra, F. G., Ahleyani, M., Tarihoran, G. T., Gea, D., & Sinuhaji, M. V. B. (2025). Fundgrowth: Microfinance Revolution Breakthrough Innovation for Micro Business Development and Achieving SDGs 2030. Applied Community Transformation and Sustainability Journal, 1(2), 73-83.

Wang, C. L. (2021). Intelligent fault diagnosis model based on deep learning for energy systems. . Energy Reports, 7, 815–824.

Wang, Z. G. (2019). Optimal energy management strategies in microgrid systems. Applied Energy, 228, 153–164. .

Zhai, L. S. (2020). Smart grid monitoring and optimization techniques. . Electric Power Systems Research, 189, 106–115.

Zhang, W. &. (2011). Toward a resilient manufacturing system. CIRP Annals, 60(1), 469–472.

Zhao, B. Z. (2013). Operation optimization of standalone microgrids considering renewable energy. . IEEE Transactions on Sustainable Energy, 4(2), 552–561.