IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i24p17044-d1008301.html
   My bibliography  Save this article

Design and Optimization of a Backup Renewable Energy Station for Photovoltaic Hybrid System in the New Jeddah Industrial City

Author

Listed:
  • Ammar A. Melaibari

    (Department of Mechanical Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    Center of Nanotechnology, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Abdullah M. Abdul-Aziz

    (Department of Mechanical Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    K. A. CARE Energy Research and Innovation Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Nidal H. Abu-Hamdeh

    (Department of Mechanical Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    K. A. CARE Energy Research and Innovation Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    Energy Efficiency Group, Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

Abstract

This study aims to design and optimize a backup renewable energy station and possibility of the grid-connected hybrid photovoltaic (PV) power system for firms in 2nd Jeddah industrial city workshops. Wind and solar energy potentials were examined, and data from a variety of sources were obtained as part of the study process. It is important to utilize the application hybrid optimization model for electric renewables (HOMER) to evaluate relevant data as well as the suggested hybrid power system’s economic feasibility. The system’s payback is solely based on monthly grid bill savings and increased profits due to the absence of a power shortage. The most cost-effective system design is measured in terms of the original cost, ongoing cost, cost per unit, and total system net present value. As a result, fulfilling the load demand with 220 kW wind turbines and 500 kW solar PV is both cost-effective and efficient. The simulation results for the second scenario with a wind turbine show that a combination of a 500 kW PV, 300 kWh battery capacity, 22 kW wind turbine, and 315 kW converter is the most feasible solution for this case study, with SAR 4,433,658 net present cost (NPC) and SAR 0.1741 LCOE.

Suggested Citation

  • Ammar A. Melaibari & Abdullah M. Abdul-Aziz & Nidal H. Abu-Hamdeh, 2022. "Design and Optimization of a Backup Renewable Energy Station for Photovoltaic Hybrid System in the New Jeddah Industrial City," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:17044-:d:1008301
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/24/17044/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/24/17044/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hoseinzadeh, Siamak & Ghasemi, Mohammad Hadi & Heyns, Stephan, 2020. "Application of hybrid systems in solution of low power generation at hot seasons for micro hydro systems," Renewable Energy, Elsevier, vol. 160(C), pages 323-332.
    2. Baseer, M.A. & Meyer, J.P. & Rehman, S. & Alam, Md. Mahbub, 2017. "Wind power characteristics of seven data collection sites in Jubail, Saudi Arabia using Weibull parameters," Renewable Energy, Elsevier, vol. 102(PA), pages 35-49.
    3. Sina Jafari & Ali Sohani & Siamak Hoseinzadeh & Fathollah Pourfayaz, 2022. "The 3E Optimal Location Assessment of Flat-Plate Solar Collectors for Domestic Applications in Iran," Energies, MDPI, vol. 15(10), pages 1-17, May.
    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. Mohammed Abdullah H. Alshehri & Youguang Guo & Gang Lei, 2023. "Renewable-Energy-Based Microgrid Design and Feasibility Analysis for King Saud University Campus, Riyadh," Sustainability, MDPI, vol. 15(13), pages 1-24, 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. Siamak Hoseinzadeh & Daniele Groppi & Adriana Scarlet Sferra & Umberto Di Matteo & Davide Astiaso Garcia, 2022. "The PRISMI Plus Toolkit Application to a Grid-Connected Mediterranean Island," Energies, MDPI, vol. 15(22), pages 1-14, November.
    2. Fazelpour, Farivar & Markarian, Elin & Soltani, Nima, 2017. "Wind energy potential and economic assessment of four locations in Sistan and Balouchestan province in Iran," Renewable Energy, Elsevier, vol. 109(C), pages 646-667.
    3. Katinas, Vladislovas & Gecevicius, Giedrius & Marciukaitis, Mantas, 2018. "An investigation of wind power density distribution at location with low and high wind speeds using statistical model," Applied Energy, Elsevier, vol. 218(C), pages 442-451.
    4. Hoseinzadeh, Siamak & Astiaso Garcia, Davide & Huang, Lizhen, 2023. "Grid-connected renewable energy systems flexibility in Norway islands’ Decarbonization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    5. Yahya Z. Alharthi & Mahbube K. Siddiki & Ghulam M. Chaudhry, 2018. "Resource Assessment and Techno-Economic Analysis of a Grid-Connected Solar PV-Wind Hybrid System for Different Locations in Saudi Arabia," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    6. Ma, Jinrui & Fouladirad, Mitra & Grall, Antoine, 2018. "Flexible wind speed generation model: Markov chain with an embedded diffusion process," Energy, Elsevier, vol. 164(C), pages 316-328.
    7. Suwarno Suwarno & M. Fitra Zambak, 2021. "The Probability Density Function for Wind Speed Using Modified Weibull Distribution," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 544-550.
    8. Weijie Zhou & Huimin Jiang & Jiaxin Chang, 2023. "Forecasting Renewable Energy Generation Based on a Novel Dynamic Accumulation Grey Seasonal Model," Sustainability, MDPI, vol. 15(16), pages 1-26, August.
    9. Qingqing He & Lei Liu & Mingyang Qiu & Quanming Luo, 2021. "A Step-by-Step Design for Low-Pass Input Filter of the Single-Stage Converter," Energies, MDPI, vol. 14(23), pages 1-25, November.
    10. Gilani, Hooman Azad & Hoseinzadeh, Siamak & Karimi, Hirou & Karimi, Ako & Hassanzadeh, Amir & Garcia, Davide Astiaso, 2021. "Performance analysis of integrated solar heat pump VRF system for the low energy building in Mediterranean island," Renewable Energy, Elsevier, vol. 174(C), pages 1006-1019.
    11. Ramez Abdallah & Hüseyin Çamur, 2022. "Assessing the Potential of Wind Energy as Sustainable Energy Production in Ramallah, Palestine," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
    12. Ayman M. Mansour & Abdulaziz Almutairi & Saeed Alyami & Mohammad A. Obeidat & Dhafer Almkahles & Jagabar Sathik, 2021. "A Unique Unified Wind Speed Approach to Decision-Making for Dispersed Locations," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    13. Herrero-Novoa, Cristina & Pérez, Isidro A. & Sánchez, M. Luisa & García, Ma Ángeles & Pardo, Nuria & Fernández-Duque, Beatriz, 2017. "Wind speed description and power density in northern Spain," Energy, Elsevier, vol. 138(C), pages 967-976.
    14. Khan, Irfan & Hou, Fujun & Irfan, Muhammad & Zakari, Abdulrasheed & Le, Hoang Phong, 2021. "Does energy trilemma a driver of economic growth? The roles of energy use, population growth, and financial development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    15. Ren, Guorui & Wan, Jie & Liu, Jinfu & Yu, Daren, 2020. "Spatial and temporal correlation analysis of wind power between different provinces in China," Energy, Elsevier, vol. 191(C).
    16. Iqrar Hussain & Aun Haider & Zahid Ullah & Mario Russo & Giovanni Mercurio Casolino & Babar Azeem, 2023. "Comparative Analysis of Eight Numerical Methods Using Weibull Distribution to Estimate Wind Power Density for Coastal Areas in Pakistan," Energies, MDPI, vol. 16(3), pages 1-18, February.
    17. Fahad Alharbi & Denes Csala, 2020. "Saudi Arabia’s Solar and Wind Energy Penetration: Future Performance and Requirements," Energies, MDPI, vol. 13(3), pages 1-18, January.
    18. Hassan, Rakibul & Das, Barun K. & Hasan, Mahmudul, 2022. "Integrated off-grid hybrid renewable energy system optimization based on economic, environmental, and social indicators for sustainable development," Energy, Elsevier, vol. 250(C).
    19. Hussain, I. & Ali, S.M. & Khan, B. & Ullah, Z. & Mehmood, C.A. & Jawad, M. & Farid, U. & Haider, A., 2019. "Stochastic Wind Energy Management Model within smart grid framework: A joint Bi-directional Service Level Agreement (SLA) between smart grid and Wind Energy District Prosumers," Renewable Energy, Elsevier, vol. 134(C), pages 1017-1033.
    20. Jie Liu & Quan Shi & Ruilian Han & Juan Yang, 2021. "A Hybrid GA–PSO–CNN Model for Ultra-Short-Term Wind Power Forecasting," Energies, MDPI, vol. 14(20), pages 1-22, October.

    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:14:y:2022:i:24:p:17044-:d:1008301. 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.