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Systematic Optimize and Cost-Effective Design of a 100% Renewable Microgrid Hybrid System for Sustainable Rural Electrification in Khlong Ruea, Thailand

Author

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  • Montri Ngao-det

    (Clean Energy System (CES-RMUTL), Division of Electrical Engineering, Faculty of Engineering, Rajamangala University of Technology Lanna (RMUTL), Hauy Kaew Rd., Chang Phueg, Chiang Mai 50300, Thailand)

  • Jutturit Thongpron

    (Clean Energy System (CES-RMUTL), Division of Electrical Engineering, Faculty of Engineering, Rajamangala University of Technology Lanna (RMUTL), Hauy Kaew Rd., Chang Phueg, Chiang Mai 50300, Thailand)

  • Anon Namin

    (Clean Energy System (CES-RMUTL), Division of Electrical Engineering, Faculty of Engineering, Rajamangala University of Technology Lanna (RMUTL), Hauy Kaew Rd., Chang Phueg, Chiang Mai 50300, Thailand)

  • Nopporn Patcharaprakiti

    (Clean Energy System (CES-RMUTL), Division of Electrical Engineering, Faculty of Engineering, Rajamangala University of Technology Lanna (RMUTL), Hauy Kaew Rd., Chang Phueg, Chiang Mai 50300, Thailand)

  • Worrajak Muangjai

    (Clean Energy System (CES-RMUTL), Division of Electrical Engineering, Faculty of Engineering, Rajamangala University of Technology Lanna (RMUTL), Hauy Kaew Rd., Chang Phueg, Chiang Mai 50300, Thailand)

  • Teerasak Somsak

    (Clean Energy System (CES-RMUTL), Division of Electrical Engineering, Faculty of Engineering, Rajamangala University of Technology Lanna (RMUTL), Hauy Kaew Rd., Chang Phueg, Chiang Mai 50300, Thailand)

Abstract

This study presents a systematic approach to designing and optimizing a 100% renewable hybrid microgrid system for sustainable rural electrification in Khlong Ruea, Thailand, using HOMER Pro software (Version 3.15.3). The proposed system integrates photovoltaic (PV) panels (20 kW), pico hydro (9.42 kW), and lithium-ion battery storage (264 kWh) to provide a reliable, cost-effective, and environmentally sustainable energy solution for a remote village of 306 residents. The methodology encompasses site-specific resource assessment (solar irradiance, hydro flow), load demand analysis, and techno-economic optimization, minimizing the net present cost (NPC) and cost of energy (COE) while achieving zero emissions. Simulation results indicate the optimal configuration (S1) achieves an NPC of USD 362,687 and COE of USD 0.19/kWh, with a 100% renewable fraction, outperforming the current diesel–hydro system (NPC USD 3,400,000, COE USD 1.85/kWh, 61.4% renewable). Sensitivity analysis confirms robustness against load increases (1–5%), though battery capacity and costs rise proportionally. Compared to regional microgrids, the proposed system excels in terms of sustainability and scalability, leveraging local resources effectively. The lifecycle assessment highlights the battery’s embodied emissions (13,200–39,600 kg CO 2 e), underscoring the need for recycling to enhance long-term sustainability. Aligned with Thailand’s AEDP 2018–2037 and net-zero goals, this model offers a replicable framework for rural electrification in Southeast Asia. Stakeholder engagement, including community input and EGAT funding, ensures practical implementation. The study demonstrates that fully renewable microgrids are technically feasible and economically viable, providing a blueprint for sustainable energy transitions globally.

Suggested Citation

  • Montri Ngao-det & Jutturit Thongpron & Anon Namin & Nopporn Patcharaprakiti & Worrajak Muangjai & Teerasak Somsak, 2025. "Systematic Optimize and Cost-Effective Design of a 100% Renewable Microgrid Hybrid System for Sustainable Rural Electrification in Khlong Ruea, Thailand," Energies, MDPI, vol. 18(7), pages 1-35, March.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:7:p:1628-:d:1619367
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    References listed on IDEAS

    as
    1. Ammar A. Melaibari & Abdullah M. Abdul-Aziz & Nidal H. Abu-Hamdeh, 2022. "Design and Optimization of a Backup Renewable Energy Station for Photovoltaic Hybrid System in the New Jeddah Industrial City," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    2. Md. Feroz Ali & Md. Alamgir Hossain & Mir Md. Julhash & Md Ashikuzzaman & Md Shafiul Alam & Md. Rafiqul Islam Sheikh, 2024. "A Techno-Economic Analysis of a Hybrid Microgrid System in a Residential Area of Bangladesh: Optimizing Renewable Energy," Sustainability, MDPI, vol. 16(18), pages 1-22, September.
    3. Ladislas Mutunda Kangaji & Atanda Raji & Efe Orumwense, 2024. "Optimizing Sustainability Offshore Hybrid Tidal-Wind Energy Storage Systems for an Off-Grid Coastal City in South Africa," Sustainability, MDPI, vol. 16(21), pages 1-33, October.
    4. Daniel Alejandro Pérez Uc & Susana Estefany de León Aldaco & Jesús Aguayo Alquicira, 2024. "Trends in Hybrid Renewable Energy System (HRES) Applications: A Review," Energies, MDPI, vol. 17(11), pages 1-34, May.
    5. Rovick Tarife & Yosuke Nakanishi & Yining Chen & Yicheng Zhou & Noel Estoperez & Anacita Tahud, 2022. "Optimization of Hybrid Renewable Energy Microgrid for Rural Agricultural Area in Southern Philippines," Energies, MDPI, vol. 15(6), pages 1-29, March.
    6. Hafez, Omar & Bhattacharya, Kankar, 2012. "Optimal planning and design of a renewable energy based supply system for microgrids," Renewable Energy, Elsevier, vol. 45(C), pages 7-15.
    7. Sadaqat Ali & Zhixue Zheng & Michel Aillerie & Jean-Paul Sawicki & Marie-Cécile Péra & Daniel Hissel, 2021. "A Review of DC Microgrid Energy Management Systems Dedicated to Residential Applications," Energies, MDPI, vol. 14(14), pages 1-26, July.
    8. Edrees Yahya Alhawsawi & Khaled Salhein & Mohamed A. Zohdy, 2024. "A Comprehensive Review of Existing and Pending University Campus Microgrids," Energies, MDPI, vol. 17(10), pages 1-29, May.
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