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Suitability Analysis Using GIS-Based Analytic Hierarchy Process (AHP) for Solar Power Exploration

Author

Listed:
  • Jerome G. Gacu

    (College of Engineering and Technology, Romblon State University, Liwanag, Odiongan, Romblon 5505, Philippines
    Research, Extension, Development, and Innovation Office, Romblon State University, Liwanag, Odiongan, Romblon 5505, Philippines
    School of Civil, Environmental, and Geological Engineering, Mapua University, Manila 1002, Philippines)

  • Junrey D. Garcia

    (College of Engineering and Technology, Romblon State University, Liwanag, Odiongan, Romblon 5505, Philippines)

  • Eddie G. Fetalvero

    (Research, Extension, Development, and Innovation Office, Romblon State University, Liwanag, Odiongan, Romblon 5505, Philippines)

  • Merian P. Catajay-Mani

    (Office of the President, Romblon State University, Liwanag, Odiongan, Romblon 5505, Philippines)

  • Cris Edward F. Monjardin

    (School of Civil, Environmental, and Geological Engineering, Mapua University, Manila 1002, Philippines)

Abstract

Sibuyan Island is experiencing a significant increase in electricity demand due to population growth, urbanization, and industrial development. The island plans to use solar energy, recognizing its abundance and renewable nature; thus, this study was conducted to visualize the spatial distribution of solar exploration suitability using a geographic information system (GIS). Various criteria, including climatology, location, geography, meteorology, and disaster susceptibility, were considered in the assessment. Parameters affected by government policies, such as protected areas, proximity to rivers, roads and faults, ancestral domains, and proclaimed watersheds, were also considered. Parameters were weighted, and suitability levels were highlighted using AHP. The study revealed that about 5.88% (2674.06 km 2 ) of the island was categorized as highly suitable for a solar farm, 34.99% (15,908.21 km 2 ) as suitable, 2.49% (1129.95 km 2 ) as moderately suitable, and the majority, 56.64% (25,754.47 km 2 ), was considered not suitable for solar projects. A solar power suitability map was developed as a reference for local governments and residents in establishing solar PV systems in their respective sites, thus maximizing the full potential of their land. The study also directs future solar power exploration studies in Sibuyan Island, supporting ongoing efforts to maximize solar energy utilization.

Suggested Citation

  • Jerome G. Gacu & Junrey D. Garcia & Eddie G. Fetalvero & Merian P. Catajay-Mani & Cris Edward F. Monjardin, 2023. "Suitability Analysis Using GIS-Based Analytic Hierarchy Process (AHP) for Solar Power Exploration," Energies, MDPI, vol. 16(18), pages 1-28, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6724-:d:1244007
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    References listed on IDEAS

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    1. Bijay Halder & Papiya Banik & Hussein Almohamad & Ahmed Abdullah Al Dughairi & Motrih Al-Mutiry & Haya Falah Al Shahrani & Hazem Ghassan Abdo, 2022. "Land Suitability Investigation for Solar Power Plant Using GIS, AHP and Multi-Criteria Decision Approach: A Case of Megacity Kolkata, West Bengal, India," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
    2. Muhammad Aqil Afham Rahmat & Ag Sufiyan Abd Hamid & Yuanshen Lu & Muhammad Amir Aziat Ishak & Shaikh Zishan Suheel & Ahmad Fazlizan & Adnan Ibrahim, 2022. "An Analysis of Renewable Energy Technology Integration Investments in Malaysia Using HOMER Pro," Sustainability, MDPI, vol. 14(20), pages 1-24, October.
    3. Małgorzata Trojanowska & Krzysztof Nęcka, 2020. "Selection of the Multiple-Criteria Decision-Making Method for Evaluation of Sustainable Energy Development: A Case Study of Poland," Energies, MDPI, vol. 13(23), pages 1-24, November.
    4. Monowar Hossain & Saad Mekhilef & Firdaus Afifi & Laith M Halabi & Lanre Olatomiwa & Mehdi Seyedmahmoudian & Ben Horan & Alex Stojcevski, 2018. "Application of the hybrid ANFIS models for long term wind power density prediction with extrapolation capability," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-31, April.
    5. Hasna Hissou & Said Benkirane & Azidine Guezzaz & Mourade Azrour & Abderrahim Beni-Hssane, 2023. "A Novel Machine Learning Approach for Solar Radiation Estimation," Sustainability, MDPI, vol. 15(13), pages 1-21, July.
    6. Wu, Xudong & Li, Chaohui & Shao, Ling & Meng, Jing & Zhang, Lixiao & Chen, Guoqian, 2021. "Is solar power renewable and carbon-neutral: Evidence from a pilot solar tower plant in China under a systems view," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    7. Al Garni, Hassan Z. & Awasthi, Anjali, 2017. "Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia," Applied Energy, Elsevier, vol. 206(C), pages 1225-1240.
    8. Saaty, Thomas L., 2006. "Rank from comparisons and from ratings in the analytic hierarchy/network processes," European Journal of Operational Research, Elsevier, vol. 168(2), pages 557-570, January.
    9. Tercan, Emre & Eymen, Abdurrahman & Urfalı, Tuğrul & Saracoglu, Burak Omer, 2021. "A sustainable framework for spatial planning of photovoltaic solar farms using GIS and multi-criteria assessment approach in Central Anatolia, Turkey," Land Use Policy, Elsevier, vol. 102(C).
    10. Colak, H. Ebru & Memisoglu, Tugba & Gercek, Yasin, 2020. "Optimal site selection for solar photovoltaic (PV) power plants using GIS and AHP: A case study of Malatya Province, Turkey," Renewable Energy, Elsevier, vol. 149(C), pages 565-576.
    11. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    12. Tahir, Z.R. & Asim, Muhammad, 2018. "Surface measured solar radiation data and solar energy resource assessment of Pakistan: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2839-2861.
    13. Zawilska, E. & Brooks, M.J., 2011. "An assessment of the solar resource for Durban, South Africa," Renewable Energy, Elsevier, vol. 36(12), pages 3433-3438.
    14. Hossein Yousefi & Hamed Hafeznia & Amin Yousefi-Sahzabi, 2018. "Spatial Site Selection for Solar Power Plants Using a GIS-Based Boolean-Fuzzy Logic Model: A Case Study of Markazi Province, Iran," Energies, MDPI, vol. 11(7), pages 1-18, June.
    15. Abdulaziz Alhammad & Qian (Chayn) Sun & Yaguang Tao, 2022. "Optimal Solar Plant Site Identification Using GIS and Remote Sensing: Framework and Case Study," Energies, MDPI, vol. 15(1), pages 1-21, January.
    16. Sward, Jeffrey A. & Nilson, Roberta S. & Katkar, Venktesh V. & Stedman, Richard C. & Kay, David L. & Ifft, Jennifer E. & Zhang, K. Max, 2021. "Integrating social considerations in multicriteria decision analysis for utility-scale solar photovoltaic siting," Applied Energy, Elsevier, vol. 288(C).
    17. Ehsan Noorollahi & Dawud Fadai & Mohsen Akbarpour Shirazi & Seyed Hassan Ghodsipour, 2016. "Land Suitability Analysis for Solar Farms Exploitation Using GIS and Fuzzy Analytic Hierarchy Process (FAHP)—A Case Study of Iran," Energies, MDPI, vol. 9(8), pages 1-24, August.
    18. Noorollahi, Younes & Ghenaatpisheh Senani, Ali & Fadaei, Ahmad & Simaee, Mobina & Moltames, Rahim, 2022. "A framework for GIS-based site selection and technical potential evaluation of PV solar farm using Fuzzy-Boolean logic and AHP multi-criteria decision-making approach," Renewable Energy, Elsevier, vol. 186(C), pages 89-104.
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    Cited by:

    1. Hui Zhao & Hongru Zang, 2025. "Site Selection for Solar–Wind Hybrid Energy Storage Plants Based on Triangular Fuzzy Numbers: A Case Study of China," Energies, MDPI, vol. 18(14), pages 1-25, July.
    2. Al-Awadhi, Talal & Al Ramimi, Waleed & Al Jabri, Khalifa & Abulibdeh, Ammar, 2025. "Solar farms suitability analysis using GIS-Based Analytic Hierarchy Process (AHP) multi-criteria: A case study of Al Duqm – Oman," Renewable Energy, Elsevier, vol. 241(C).
    3. Jerome G. Gacu & Junrey D. Garcia & Eddie G. Fetalvero & Merian P. Catajay-Mani & Cris Edward F. Monjardin & Christopher Power, 2024. "A Comprehensive Resource Assessment for Wind Power Generation on the Rural Island of Sibuyan, Philippines," Energies, MDPI, vol. 17(9), pages 1-21, April.

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