Integrated HOMER Pro–AHP Optimization of Standalone PV–BESS for Sustainable Household Electrification on Remote Islands

Authors

  • Syaifa Laila Sany Universitas Bina Nusantara
  • Christian Harito Universitas Bina Nusantara

DOI:

https://doi.org/10.59261/jequi.v8i3.394

Keywords:

AHP, Battery Energy Storage System, HOMER Pro, Rural Electrification, Solar Photovoltaic

Abstract

Background: Remote islands in Indonesia continue to experience limited access to reliable electricity due to geographical isolation and the lack of grid infrastructure. Batun Island in East Belitung Regency currently depends on diesel generators, resulting in high operational costs, fuel transportation challenges, and environmental concerns.

Objective: This study aims to evaluate the feasibility and determine the optimal configuration of a standalone Solar Photovoltaic (PV) system integrated with a Battery Energy Storage System (BESS) to meet household electricity demand.

Methods: A quantitative approach was employed by integrating HOMER Pro techno-ecoomic simulation with the Analytical Hierarchy Process (AHP) for multi-criteria decision-making. Four alternative PV–BESS configurations were evaluated based on technical, economic, environmental, regulatory, socio-cultural, and risk criteria.

Results: The simulation results showed that all configurations were technically capable of supplying the estimated daily electricity demand of 89.99 kWh with a 100% renewable energy contribution. Among the evaluated alternatives, the 50 kWp PV and 200 kWh BESS configuration achieved the highest preference score of 0.889, with an AHP consistency ratio of 0.070, indicating reliable decision-making. This configuration also achieved the lowest NPC (USD 158,577) and LCOE (USD 0.37/kWh).

Conclusion: The findings demonstrate that integrating HOMER Pro and AHP provides a comprehensive framework for optimizing standalone renewable energy systems and supports sustainable rural electrification planning for isolated islands in Indonesia.

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References

Abdullah, A. G., Nugraha, R., Shafii, M. A., Mahmudah, R. S. N., Hakim, D. L., Nandi, N., & Setiadipura, T. (2026). Hybrid Approaches In Decision‐Making In GIS Environment For Nuclear Power Plant Site Selection: Evidence From Indonesia. International Journal Of Energy Research, 2026(1), 5524118.

Ahmed, M. M. R., Mirsaeidi, S., Koondhar, M. A., Karami, N., Tag-Eldin, E. M., Ghamry, N. A., ... & Sharaf, A. M. (2024). Mitigating uncertainty problems of renewable energy resources through efficient integration of hybrid solar PV/wind systems into power networks. IEEe Access, 12, 30311-30328.

Aksbi, A., Elkafazi, I., Bannari, R., Bannari, A., Merzouk, S., Bossoufi, B., Mohammed, S. A., Ahmad, N., Elbarbary, Z. M. S., & Yessef, M. (2025). Optimum Energy Management Of Distribution Networks With Integrated Decentralized PV-BES Systems Using SPEA2-Based Optimization Approach. Scientific Reports, 15(1), 40482.

Al Garni, H. Z., & Awasthi, A. (2017). Solar PV Power Plant Site Selection Using A GIS-AHP Based Approach With Application In Saudi Arabia. Applied Energy, 206, 1225–1240.

Ali, S., Stewart, R. A., & Sahin, O. (2021). Drivers And Barriers To The Deployment Of Pumped Hydro Energy Storage Applications: Systematic Literature Review. Cleaner Engineering And Technology, 5, 100281.

Altayf, A., Trabelsi, H., Hmad, J., & Benachaiba, C. (2024). Multi-Criteria Decision-Making Approach To The Intelligent Selection Of PV-BESS Based On Cost And Reliability. International Journal Of Energy Production And Management, 9(2), 83–96.

Arifina, A., Mohameda, R., Nopiahb, Z. M., Yusofa, Y., & Mahmudc, A. M. (2026). A Systematic Review Of Energy Management Strategies In Hybrid Off-Grid Systems: The Role Of Battery Storage Systems In Minimizing Diesel Generator Operation Hours And Enhancing Sustainability. Jurnal Kejuruteraan, 38(2), 741–752.

Aziz, A. S., Tajuddin, M. F. N., Adzman, M. R., Ramli, M. A., & Mekhilef, S. (2019). Energy Management And Optimization Of A PV/Diesel/Battery Hybrid Energy System Using A Combined Dispatch Strategy. Sustainability, 11(3), 683. https://doi.org/10.3390/Su11030683

Bergsteinsson, H. G., Nielsen, T. S., Møller, J. K., Amer, S. Ben, Dominković, D. F., & Madsen, H. (2021). Use Of Smart Meters As Feedback For District Heating Temperature Control. Energy Reports, 7, 213–221.

Das, B. K., & Zaman, F. (2019). Performance Analysis Of A PV/Diesel Hybrid System For A Remote Area In Bangladesh: Effects Of Dispatch Strategies, Batteries, And Generator Selection. Energy, 178, 1008–1021. https://doi.org/10.1016/J.Energy.2019.04.152

Djenouri, Y., Belhadi, A., & Lin, J. C.-W. (2022). Recurrent Neural Network With Density-Based Clustering For Group Pattern Detection In Energy Systems. Sustainable Energy Technologies And Assessments, 52, 102308.

Gupta, M., & Bhargava, A. (2024). Optimal design of hybrid renewable-energy microgrid system: a techno–economic–environment–social–reliability perspective. Clean Energy, 8(1), 66-83.

Jameel, T., Yasin, Y., & Riaz, M. (2026). An Integrated Hybrid MCDM Framework For Renewable Energy Prioritization In Sustainable Development. Spectrum Of Decision Making And Applications, 3(1), 124–150.

Jia, Q., Jiao, L., Lian, X., & Wang, W. (2023). Linking Supply-Demand Balance Of Ecosystem Services To Identify Ecological Security Patterns In Urban Agglomerations. Sustainable Cities And Society, 92, 104497.

Jufri, F. H., Aryani, D. R., Garniwa, I., & Sudiarto, B. (2021). Optimal Battery Energy Storage Dispatch Strategy For Small-Scale Isolated Hybrid Renewable Energy System With Different Load Profile Patterns. Energies, 14(11), 3139.

Kalemis, M. A., & Upham, P. (2026). How Do Microgrid PV Systems Help Communities Respond To Energy Supply Disruption? A Review Of The Socio-Economic Interrelationships In West Africa. Renewable And Sustainable Energy Reviews, 225, 116187.

Khan, A., Ali, Y., & Pamucar, D. (2023). Solar PV Power Plant Site Selection Using A GIS-Based Non-Linear Multi-Criteria Optimization Technique. Environmental Science And Pollution Research, 30(20), 57378–57397.

Kumar, A., Sah, B., Singh, A. R., Deng, Y., He, X., Kumar, P., & Bansal, R. C. (2017). A Review Of Multi Criteria Decision Making (MCDM) Towards Sustainable Renewable Energy Development. Renewable And Sustainable Energy Reviews, 69, 596–609. https://doi.org/10.1016/J.Rser.2016.11.191

Maulidia, M., Dargusch, P., Ashworth, P., & Ardiansyah, F. (2019). Rethinking Renewable Energy Targets And Electricity Sector Reform In Indonesia: A Private Sector Perspective. Renewable And Sustainable Energy Reviews, 101, 231–247. https://doi.org/10.1016/J.Rser.2018.11.005

Mohamed, M. M., El Zoghby, H. M., Sharaf, S. M., & Mosa, M. A. (2022). Optimal Virtual Synchronous Generator Control Of Battery/Supercapacitor Hybrid Energy Storage System For Frequency Response Enhancement Of Photovoltaic/Diesel Microgrid. Journal Of Energy Storage, 51, 104317.

Pangestu, M. (2026). Rethinking Economic Policy And Steering Structural Change: A Perspective From Indonesia And Southeast Asia. Steering Structural Change: Rethinking Government Policy To Support Fundamental Economic Transformations, 439.

Riayatsyah, T. M. I., Geumpana, T. A., Fattah, I. R., Rizal, S., & Mahlia, T. I. (2022). Techno-Economic Analysis And Optimisation Of Campus Grid-Connected Hybrid Renewable Energy System Using HOMER Grid. Sustainability, 14(13), 7735. https://doi.org/10.3390/Su14137735

Ridha, H. M., Gomes, C., Hizam, H., Ahmadipour, M., Heidari, A. A., & Chen, H. (2021). Multi-Objective Optimization And Multi-Criteria Decision-Making Methods For Optimal Design Of Standalone Photovoltaic System: A Comprehensive Review. Renewable And Sustainable Energy Reviews, 135, 110202. https://doi.org/10.1016/J.Rser.2020.110202

Riva, F., Ahlborg, H., Hartvigsson, E., Pachauri, S., & Colombo, E. (2018). Electricity Access And Rural Development: Review Of Complex Socio-Economic Dynamics And Causal Diagrams For More Appropriate Energy Modelling. Energy For Sustainable Development, 43, 203–223.

Rufinaldo, R., & Brent, A. (2025). Techno-Economic Analysis Of Hybrid Wave Energy And Floating Photovoltaic Systems In Remote Islands: A Case Study In Indonesia. Archives Of Sustainable Energy Systems, 1.

Ruiz, H. S., Sunarso, A., Ibrahim-Bathis, K., Murti, S. A., & Budiarto, I. (2020). GIS-AHP Multi Criteria Decision Analysis For The Optimal Location Of Solar Energy Plants At Indonesia. Energy Reports, 6, 3249–3263.

Samatar, A. M., Lekbir, A., Mekhilef, S., Mokhlis, H., Tey, K. S., & Alassaf, A. (2025). Techno-Economic And Environmental Analysis Of A Fully Renewable Hybrid Energy System For Sustainable Power Infrastructure Advancement. Scientific Reports, 15(1), 12140.

Sarkar, A., Goswami, S. S., Behera, D. K., & Bozanic, D. (2026). Criteria Weighting Methods In Multi-Criteria Decision Making: A Comprehensive Review Of Subjective, Objective, And Hybrid Approaches. Journal Of Contemporary Decision Science, 1–34.

Serrano-Gomez, L., Gil-García, I. C., García-Cascales, M. S., & Fernández-Guillamón, A. (2024). Improving The Selection Of Pv Modules And Batteries For Off-Grid Pv Installations Using A Decision Support System. Information, 15(7), 380.

Tang, Y., Ji, J., Wang, C., Xie, H., & Ke, W. (2022). Performance Prediction Of A Novel Double-Glazing PV Curtain Wall System Combined With An Air Handling Unit Using Exhaust Cooling And Heat Recovery Technology. Energy Conversion And Management, 265, 115774.

Urraca, R., Huld, T., Gracia-Amillo, A., Martinez-de-Pison, F. J., Kaspar, F., & Sanz-Garcia, A. (2018). Evaluation Of Global Horizontal Irradiance Estimates From ERA5 And COSMO-REA6 Reanalyses Using Ground And Satellite-Based Data. Solar Energy, 164, 339–354. https://doi.org/10.1016/J.Solener.2018.02.059

Wang, P., Li, Q., Wang, S., He, C., & Tang, J. (2023). Thermo-Economic Analysis And Comparative Study Of Different Thermally Integrated Pumped Thermal Electricity Storage Systems. Renewable Energy, 217, 119150.

Zaheb, H., Obaidi, O., Mukhtar, S., Shirani, H., Ahmadi, M., & Yona, A. (2024). Comprehensive Analysis And Prioritization Of Sustainable Energy Resources Using Analytical Hierarchy Process. Sustainability, 16(11), 4873.

Zhang, Z., Yang, B., Zhang, Y., Li, L., Zhao, B., & Zhang, T. (2023). Powertrain Modeling And Performance Simulation Of A Novel Flywheel Hybrid Electric Vehicle. Energy Reports, 9, 4401–4412.

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Published

2026-08-12