IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i23p10487-d1533034.html
   My bibliography  Save this article

Optimization and Sensitivity Analysis of Using Renewable Energy Resources for Yanbu City

Author

Listed:
  • Salman M. Yanbuawi

    (Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Amir A. Imam

    (Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Abdullah Ali Alhussainy

    (Department of Electrical Engineering, College of Engineering, University of Prince Mugrin, Madinah 42241, Saudi Arabia)

  • Sultan Alghamdi

    (Center of Research Excellence in Renewable Energy and Power Systems, Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Fahd Hariri

    (Center of Research Excellence in Renewable Energy and Power Systems, Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Muhyaddin Rawa

    (Center of Research Excellence in Renewable Energy and Power Systems, Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

Abstract

This study presents a techno-economic and environmental analysis of hybrid renewable energy systems to identify the optimal configuration for supplying the planned 850 MW renewable energy plant in Yanbu city, Saudi Arabia. Ten grid-connected system designs combining photovoltaic (PV), wind turbine (WT), and battery storage were simulated and optimized using the HOMER Grid software (1.10.2 pro edition). A site suitability analysis was conducted to evaluate potential locations based on climatic, topographic, and infrastructure-related factors. A sensitivity analysis considered variations in solar irradiation, wind speed, temperature, load demand, and economic parameters. The results showed that the PV-only system with an 850 MW capacity achieved the lowest net present cost (NPC) of USD 201 million and levelized cost of energy (LCOE) of 0.0344 USD/kWh, making it the most economically feasible option. However, a hybrid WT–PV configuration of 212.5 MW WT and 637.5 MW PV was also proposed to support local manufacturing. All proposed systems provided over a 91% renewable energy contribution while reducing CO 2 emissions by 53% compared to grid supply only. Up to 1152 jobs are estimated to be created through renewable energy deployment in Yanbu city.

Suggested Citation

  • Salman M. Yanbuawi & Amir A. Imam & Abdullah Ali Alhussainy & Sultan Alghamdi & Fahd Hariri & Muhyaddin Rawa, 2024. "Optimization and Sensitivity Analysis of Using Renewable Energy Resources for Yanbu City," Sustainability, MDPI, vol. 16(23), pages 1-24, November.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10487-:d:1533034
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/23/10487/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/23/10487/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chinna Alluraiah Nallolla & Vijayapriya Perumal, 2022. "Optimal Design of a Hybrid Off-Grid Renewable Energy System Using Techno-Economic and Sensitivity Analysis for a Rural Remote Location," Sustainability, MDPI, vol. 14(22), pages 1-25, November.
    2. Polash Ahmed & Md. Ferdous Rahman & A. K. M. Mahmudul Haque & Mustafa K. A. Mohammed & G. F. Ishraque Toki & Md. Hasan Ali & Abdul Kuddus & M. H. K. Rubel & M. Khalid Hossain, 2023. "Feasibility and Techno-Economic Evaluation of Hybrid Photovoltaic System: A Rural Healthcare Center in Bangladesh," Sustainability, MDPI, vol. 15(2), pages 1-14, January.
    3. Mpho Sam Nkambule & Ali N. Hasan & Thokozani Shongwe, 2023. "Performance and Techno-Economic Analysis of Optimal Hybrid Renewable Energy Systems for the Mining Industry in South Africa," Sustainability, MDPI, vol. 15(24), pages 1-40, December.
    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. Park, Jiseon & Yang, Won & Jung, Sooho & Lee, Hyeongseok & Hong, Jongsup & Lee, Yongwoon & Kim, Seongil, 2024. "Assessment of energy self-sufficiency of a smart farm through integrated modeling of air-source heat pumps and solar power generation," Applied Energy, Elsevier, vol. 367(C).
    2. Roy, Dibyendu & Zhu, Shunmin & Wang, Ruiqi & Mondal, Pradip & Ling-Chin, Janie & Roskilly, Anthony Paul, 2024. "Techno-economic and environmental analyses of hybrid renewable energy systems for a remote location employing machine learning models," Applied Energy, Elsevier, vol. 361(C).
    3. Antonio Perrelli & Eduardo Sodré & Vinícius Silva & Alex Santos, 2023. "Maximizing Returns and Minimizing Risks in Hybrid Renewable Energy Systems: A Stochastic Discounted Cash Flow Analysis of Wind and Photovoltaic Systems in Brazil," Energies, MDPI, vol. 16(19), pages 1-19, September.
    4. Mehrdad Ghahramani & Daryoush Habibi & Seyyedmorteza Ghamari & Asma Aziz, 2024. "Addressing Uncertainty in Renewable Energy Integration for Western Australia’s Mining Sector: A Robust Optimization Approach," Energies, MDPI, vol. 17(22), pages 1-35, November.

    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:jsusta:v:16:y:2024:i:23:p:10487-:d:1533034. 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.