IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i18p6724-d1244007.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/18/6724/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/18/6724/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Małgorzata Trojanowska & Krzysztof Nęcka, 2020. "Selection of the Multiple-Criiater Decision-Making Method for Evaluation of Sustainable Energy Development: A Case Study of Poland," Energies, MDPI, vol. 13(23), pages 1-24, November.
    12. 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).
    13. 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).
    14. 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.
    15. 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.
    16. 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.
    17. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Elkadeem, Mohamed R. & Younes, Ali & Mazzeo, Domenico & Jurasz, Jakub & Elia Campana, Pietro & Sharshir, Swellam W. & Alaam, Mohamed A., 2022. "Geospatial-assisted multi-criterion analysis of solar and wind power geographical-technical-economic potential assessment," Applied Energy, Elsevier, vol. 322(C).
    3. Günen, Mehmet Akif, 2021. "A comprehensive framework based on GIS-AHP for the installation of solar PV farms in Kahramanmaraş, Turkey," Renewable Energy, Elsevier, vol. 178(C), pages 212-225.
    4. Minaei, Foad & Minaei, Masoud & Kougias, Ioannis & Shafizadeh-Moghadam, Hossein & Hosseini, Seyed Ali, 2021. "Rural electrification in protected areas: A spatial assessment of solar photovoltaic suitability using the fuzzy best worst method," Renewable Energy, Elsevier, vol. 176(C), pages 334-345.
    5. Coruhlu, Yakup Emre & Solgun, Necmettin & Baser, Volkan & Terzi, Fatih, 2022. "Revealing the solar energy potential by integration of GIS and AHP in order to compare decisions of the land use on the environmental plans," Land Use Policy, Elsevier, vol. 113(C).
    6. Besharati Fard, Moein & Moradian, Parisa & Emarati, Mohammadreza & Ebadi, Mehdi & Gholamzadeh Chofreh, Abdoulmohammad & Klemeŝ, Jiří Jaromír, 2022. "Ground-mounted photovoltaic power station site selection and economic analysis based on a hybrid fuzzy best-worst method and geographic information system: A case study Guilan province," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    7. Jesús A. Prieto-Amparán & Alfredo Pinedo-Alvarez & Carlos R. Morales-Nieto & María C. Valles-Aragón & Alan Álvarez-Holguín & Federico Villarreal-Guerrero, 2021. "A Regional GIS-Assisted Multi-Criteria Evaluation of Site-Suitability for the Development of Solar Farms," Land, MDPI, vol. 10(2), pages 1-19, February.
    8. Dimitra G. Vagiona, 2021. "Comparative Multicriteria Analysis Methods for Ranking Sites for Solar Farm Deployment: A Case Study in Greece," Energies, MDPI, vol. 14(24), pages 1-23, December.
    9. Zhang, Zhengjia & Wang, Qingxiang & Liu, Zhengguang & Chen, Qi & Guo, Zhiling & Zhang, Haoran, 2023. "Renew mineral resource-based cities: Assessment of PV potential in coal mining subsidence areas," Applied Energy, Elsevier, vol. 329(C).
    10. Fida Ali & Adul Bennui & Shahariar Chowdhury & Kuaanan Techato, 2022. "Suitable Site Selection for Solar-Based Green Hydrogen in Southern Thailand Using GIS-MCDM Approach," Sustainability, MDPI, vol. 14(11), pages 1-22, May.
    11. Raza, Muhammad Ali & Yousif, Muhammad & Hassan, Muhammad & Numan, Muhammad & Abbas Kazmi, Syed Ali, 2023. "Site suitability for solar and wind energy in developing countries using combination of GIS- AHP; a case study of Pakistan," Renewable Energy, Elsevier, vol. 206(C), pages 180-191.
    12. Sahoo, Somadutta & Zuidema, Christian & van Stralen, Joost N.P. & Sijm, Jos & Faaij, André, 2022. "Detailed spatial analysis of renewables’ potential and heat: A study of Groningen Province in the northern Netherlands," Applied Energy, Elsevier, vol. 318(C).
    13. M Tavana & M A Sodenkamp, 2010. "A fuzzy multi-criteria decision analysis model for advanced technology assessment at Kennedy Space Center," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(10), pages 1459-1470, October.
    14. Rovick Tarife & Yosuke Nakanishi & Yicheng Zhou & Noel Estoperez & Anacita Tahud, 2023. "Integrated GIS and Fuzzy-AHP Framework for Suitability Analysis of Hybrid Renewable Energy Systems: A Case in Southern Philippines," Sustainability, MDPI, vol. 15(3), pages 1-25, January.
    15. Geovanna Villacreses & Diego Jijón & Juan Francisco Nicolalde & Javier Martínez-Gómez & Franz Betancourt, 2022. "Multicriteria Decision Analysis of Suitable Location for Wind and Photovoltaic Power Plants on the Galápagos Islands," Energies, MDPI, vol. 16(1), pages 1-23, December.
    16. Imad Hassan & Ibrahim Alhamrouni & Nurul Hanis Azhan, 2023. "A CRITIC–TOPSIS Multi-Criteria Decision-Making Approach for Optimum Site Selection for Solar PV Farm," Energies, MDPI, vol. 16(10), pages 1-26, May.
    17. Sofia Spyridonidou & Eva Loukogeorgaki & Dimitra G. Vagiona & Teresa Bertrand, 2022. "Towards a Sustainable Spatial Planning Approach for PV Site Selection in Portugal," Energies, MDPI, vol. 15(22), pages 1-22, November.
    18. Elkadeem, M.R. & Younes, Ali & Sharshir, Swellam W. & Campana, Pietro Elia & Wang, Shaorong, 2021. "Sustainable siting and design optimization of hybrid renewable energy system: A geospatial multi-criteria analysis," Applied Energy, Elsevier, vol. 295(C).
    19. Haddad, Brahim & Díaz-Cuevas, Pilar & Ferreira, Paula & Djebli, Ahmed & Pérez, Juan Pedro, 2021. "Mapping concentrated solar power site suitability in Algeria," Renewable Energy, Elsevier, vol. 168(C), pages 838-853.
    20. Garbuzova-Schlifter, Maria & Madlener, Reinhard, 2016. "AHP-based risk analysis of energy performance contracting projects in Russia," Energy Policy, Elsevier, vol. 97(C), pages 559-581.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6724-:d:1244007. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.