IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i11p4310-d1155009.html
   My bibliography  Save this article

Rooftop Solar Photovoltaic in Saudi Arabia to Supply Electricity Demand in Localised Urban Areas: A Study of the City of Abha

Author

Listed:
  • Abdullah Shaher

    (School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
    Electrical Engineering Department, Faculty of Engineering, Najran University, Najran 66241, Saudi Arabia)

  • Saad Alqahtani

    (School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
    Electrical Engineering Department, Faculty of Engineering, King Khalid University, Abha 61411, Saudi Arabia)

  • Ali Garada

    (School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
    Centre for Integrated Renewable Energy Generation and Supply, Wales CF10 3AT, UK)

  • Liana Cipcigan

    (School of Engineering, Cardiff University, Cardiff CF24 3AA, UK)

Abstract

This paper explores the potential of rooftop solar PV to meet the electricity demand in the urban areas of Abha city, Saudi Arabia (KSA), minimising imports from the grid. A localised energy system for Abha is proposed that considers two types of loads: (i) residential loads with a monthly aggregated energy consumption of 172,440 MWh and an electric demand of 239.5 MW, and (ii) commercial loads with a monthly aggregated energy consumption of 179,280 MWh and an electric demand of 249 MW. The grid currently supplies this load. This paper proposes a PV development planning tool for residential and commercial areas to calculate the total PV production for each type of load to achieve a balanced energy area, considering (i) the number of buildings, (ii) the type of load, (iii) the peak load, and (iv) the total PV array area in m 2 per building. The results of the modelling study using real data demonstrate that the anticipated total PV production in residential and commercial areas is sufficient to meet local peak demand, and there is an excess of power that can either be stored locally or exported to the grid.

Suggested Citation

  • Abdullah Shaher & Saad Alqahtani & Ali Garada & Liana Cipcigan, 2023. "Rooftop Solar Photovoltaic in Saudi Arabia to Supply Electricity Demand in Localised Urban Areas: A Study of the City of Abha," Energies, MDPI, vol. 16(11), pages 1-24, May.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4310-:d:1155009
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/11/4310/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/11/4310/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wonsuk Ko & Essam Al-Ammar & Mohammad Almahmeed, 2019. "Development of Feed-in Tariff for PV in the Kingdom of Saudi Arabia," Energies, MDPI, vol. 12(15), pages 1-12, July.
    2. Byrne, John & Taminiau, Job & Kurdgelashvili, Lado & Kim, Kyung Nam, 2015. "A review of the solar city concept and methods to assess rooftop solar electric potential, with an illustrative application to the city of Seoul," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 830-844.
    3. Abdelhakim Mesloub & Aritra Ghosh & Mabrouk Touahmia & Ghazy Abdullah Albaqawy & Emad Noaime & Badr M. Alsolami, 2020. "Performance Analysis of Photovoltaic Integrated Shading Devices (PVSDs) and Semi-Transparent Photovoltaic (STPV) Devices Retrofitted to a Prototype Office Building in a Hot Desert Climate," Sustainability, MDPI, vol. 12(23), pages 1-17, December.
    4. Vardimon, Ran, 2011. "Assessment of the potential for distributed photovoltaic electricity production in Israel," Renewable Energy, Elsevier, vol. 36(2), pages 591-594.
    5. Kurdgelashvili, Lado & Li, Junli & Shih, Cheng-Hao & Attia, Benjamin, 2016. "Estimating technical potential for rooftop photovoltaics in California, Arizona and New Jersey," Renewable Energy, Elsevier, vol. 95(C), pages 286-302.
    6. 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.
    7. Muhammad Asif, 2016. "Urban Scale Application of Solar PV to Improve Sustainability in the Building and the Energy Sectors of KSA," Sustainability, MDPI, vol. 8(11), pages 1-11, November.
    8. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    9. Hong, Taehoon & Koo, Choongwan & Park, Joonho & Park, Hyo Seon, 2014. "A GIS (geographic information system)-based optimization model for estimating the electricity generation of the rooftop PV (photovoltaic) system," Energy, Elsevier, vol. 65(C), pages 190-199.
    10. Matar, Walid & Murphy, Frederic & Pierru, Axel & Rioux, Bertrand, 2015. "Lowering Saudi Arabia's fuel consumption and energy system costs without increasing end consumer prices," Energy Economics, Elsevier, vol. 49(C), pages 558-569.
    11. Severin Borenstein, 2012. "The Private and Public Economics of Renewable Electricity Generation," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 67-92, Winter.
    12. Matar, Walid & Anwer, Murad, 2017. "Jointly reforming the prices of industrial fuels and residential electricity in Saudi Arabia," Energy Policy, Elsevier, vol. 109(C), pages 747-756.
    13. Khan, Jibran & Arsalan, Mudassar Hassan, 2016. "Estimation of rooftop solar photovoltaic potential using geo-spatial techniques: A perspective from planned neighborhood of Karachi – Pakistan," Renewable Energy, Elsevier, vol. 90(C), pages 188-203.
    14. Ko, Li & Wang, Jen-Chun & Chen, Chia-Yon & Tsai, Hsing-Yeh, 2015. "Evaluation of the development potential of rooftop solar photovoltaic in Taiwan," Renewable Energy, Elsevier, vol. 76(C), pages 582-595.
    15. Alyahya, Sulaiman & Irfan, Mohammad A., 2016. "Role of Saudi universities in achieving the solar potential 2030 target," Energy Policy, Elsevier, vol. 91(C), pages 325-328.
    16. Shaahid, S.M. & El-Amin, I., 2009. "Techno-economic evaluation of off-grid hybrid photovoltaic-diesel-battery power systems for rural electrification in Saudi Arabia--A way forward for sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(3), pages 625-633, April.
    17. Abdulsalam S. Alghamdi, 2019. "Potential for Rooftop-Mounted PV Power Generation to Meet Domestic Electrical Demand in Saudi Arabia: Case Study of a Villa in Jeddah," Energies, MDPI, vol. 12(23), pages 1-29, November.
    18. Asif, M., 2016. "Growth and sustainability trends in the buildings sector in the GCC region with particular reference to the KSA and UAE," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1267-1273.
    19. Abeer AlGhamdi, 2020. "Saudi Arabia Energy Report," Discussion Papers ks--2020-dp25, King Abdullah Petroleum Studies and Research Center.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Abeer Alshehri & Patrick James & AbuBakr Bahaj, 2024. "Pathways to the Large-Scale Adoption of Residential Photovoltaics in Saudi Arabia," Energies, MDPI, vol. 17(13), pages 1-19, June.
    2. Noureddine Boutchich & Ayoub Moufid & Mohammed Bennani & Soumia El Hani, 2023. "Optimal Neural Network PID Approach for Building Thermal Management," Energies, MDPI, vol. 16(15), pages 1-14, July.

    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. Bódis, Katalin & Kougias, Ioannis & Jäger-Waldau, Arnulf & Taylor, Nigel & Szabó, Sándor, 2019. "A high-resolution geospatial assessment of the rooftop solar photovoltaic potential in the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    2. Dehwah, Ammar H.A. & Asif, Muhammad, 2019. "Assessment of net energy contribution to buildings by rooftop photovoltaic systems in hot-humid climates," Renewable Energy, Elsevier, vol. 131(C), pages 1288-1299.
    3. Gassar, Abdo Abdullah Ahmed & Cha, Seung Hyun, 2021. "Review of geographic information systems-based rooftop solar photovoltaic potential estimation approaches at urban scales," Applied Energy, Elsevier, vol. 291(C).
    4. Hong, Taehoon & Lee, Minhyun & Koo, Choongwan & Jeong, Kwangbok & Kim, Jimin, 2017. "Development of a method for estimating the rooftop solar photovoltaic (PV) potential by analyzing the available rooftop area using Hillshade analysis," Applied Energy, Elsevier, vol. 194(C), pages 320-332.
    5. Sredenšek, Klemen & Štumberger, Bojan & Hadžiselimović, Miralem & Mavsar, Primož & Seme, Sebastijan, 2022. "Physical, geographical, technical, and economic potential for the optimal configuration of photovoltaic systems using a digital surface model and optimization method," Energy, Elsevier, vol. 242(C).
    6. Primož Mavsar & Klemen Sredenšek & Bojan Štumberger & Miralem Hadžiselimović & Sebastijan Seme, 2019. "Simplified Method for Analyzing the Availability of Rooftop Photovoltaic Potential," Energies, MDPI, vol. 12(22), pages 1-17, November.
    7. Lopez-Ruiz, Hector G. & Blazquez, Jorge & Vittorio, Michele, 2020. "Assessing residential solar rooftop potential in Saudi Arabia using nighttime satellite images: A study for the city of Riyadh," Energy Policy, Elsevier, vol. 140(C).
    8. Liu, Zhengguang & Guo, Zhiling & Chen, Qi & Song, Chenchen & Shang, Wenlong & Yuan, Meng & Zhang, Haoran, 2023. "A review of data-driven smart building-integrated photovoltaic systems: Challenges and objectives," Energy, Elsevier, vol. 263(PE).
    9. Griffiths, Steven, 2017. "A review and assessment of energy policy in the Middle East and North Africa region," Energy Policy, Elsevier, vol. 102(C), pages 249-269.
    10. Lee, Minhyun & Hong, Taehoon & Jeong, Jaewook & Jeong, Kwangbok, 2018. "Development of a rooftop solar photovoltaic rating system considering the technical and economic suitability criteria at the building level," Energy, Elsevier, vol. 160(C), pages 213-224.
    11. Ahmed, Ahsan & Nadeem, Talha Bin & Naqvi, Asad A. & Siddiqui, Mubashir Ali & Khan, Muhammad Hamza & Bin Zahid, Muhammad Saad & Ammar, Syed Muhammad, 2022. "Investigation of PV utilizability on university buildings: A case study of Karachi, Pakistan," Renewable Energy, Elsevier, vol. 195(C), pages 238-251.
    12. Lee, Minhyun & Hong, Taehoon & Jeong, Kwangbok & Kim, Jimin, 2018. "A bottom-up approach for estimating the economic potential of the rooftop solar photovoltaic system considering the spatial and temporal diversity," Applied Energy, Elsevier, vol. 232(C), pages 640-656.
    13. Kurdgelashvili, Lado & Li, Junli & Shih, Cheng-Hao & Attia, Benjamin, 2016. "Estimating technical potential for rooftop photovoltaics in California, Arizona and New Jersey," Renewable Energy, Elsevier, vol. 95(C), pages 286-302.
    14. Antonio Barragán-Escandón & Esteban Zalamea-León & Julio Terrados-Cepeda, 2019. "Incidence of Photovoltaics in Cities Based on Indicators of Occupancy and Urban Sustainability," Energies, MDPI, vol. 12(5), pages 1-26, February.
    15. Jung, Seunghoon & Jeoung, Jaewon & Kang, Hyuna & Hong, Taehoon, 2021. "Optimal planning of a rooftop PV system using GIS-based reinforcement learning," Applied Energy, Elsevier, vol. 298(C).
    16. Antonia Cevallos-Escandón & Edgar Antonio Barragan-Escandón & Esteban Zalamea-León & Xavier Serrano-Guerrero & Julio Terrados-Cepeda, 2023. "Assessing the Feasibility of Hydrogen and Electric Buses for Urban Public Transportation using Rooftop Integrated Photovoltaic Energy in Cuenca Ecuador," Energies, MDPI, vol. 16(14), pages 1-14, July.
    17. Gómez-Navarro, Tomás & Brazzini, Tommaso & Alfonso-Solar, David & Vargas-Salgado, Carlos, 2021. "Analysis of the potential for PV rooftop prosumer production: Technical, economic and environmental assessment for the city of Valencia (Spain)," Renewable Energy, Elsevier, vol. 174(C), pages 372-381.
    18. Min-Hwi Kim & Deuk-Won Kim & Dong-Won Lee, 2021. "Feasibility of Low Carbon Renewable Energy City Integrated with Hybrid Renewable Energy Systems," Energies, MDPI, vol. 14(21), pages 1-24, November.
    19. Xiaoyang Song & Yaohuan Huang & Chuanpeng Zhao & Yuxin Liu & Yanguo Lu & Yongguo Chang & Jie Yang, 2018. "An Approach for Estimating Solar Photovoltaic Potential Based on Rooftop Retrieval from Remote Sensing Images," Energies, MDPI, vol. 11(11), pages 1-14, November.
    20. Liu, Jiang & Wu, Qifeng & Lin, Zhipeng & Shi, Huijie & Wen, Shaoyang & Wu, Qiaoyu & Zhang, Junxue & Peng, Changhai, 2023. "A novel approach for assessing rooftop-and-facade solar photovoltaic potential in rural areas using three-dimensional (3D) building models constructed with GIS," Energy, Elsevier, vol. 282(C).

    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:11:p:4310-:d:1155009. 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.