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Control of the Solar Radiation Reception Rate (SRRR) Using a Novel Poly-Tilted Segmented Panel (PTSP) in the Region of Makkah, Saudi Arabia

Author

Listed:
  • Faris Alqurashi

    (Mechanical Engineering Department, College of Engineering and Islamic Architecture, Umm Al-Qura University, Makkah 77207, Saudi Arabia
    Mechanical Engineering Department, College of Engineering, University of Bisha, Bisha 61922, Saudi Arabia)

  • Rached Nciri

    (Department of Mechanical Engineering, Higher Institute of Technological Studies of Gafsa, General Directorate of Technological Studies, Radès Médina 2098, Tunisia
    Laboratory of Electro-Mechanical Systems (LASEM), National Engineering School of Sfax-ENIS, University of Sfax, B.P. W3038, Sfax 3038, Tunisia)

  • Abdulrahman Alghamdi

    (Mechanical Engineering Department, College of Engineering and Islamic Architecture, Umm Al-Qura University, Makkah 77207, Saudi Arabia)

  • Chaouki Ali

    (Laboratory of Electro-Mechanical Systems (LASEM), National Engineering School of Sfax-ENIS, University of Sfax, B.P. W3038, Sfax 3038, Tunisia
    Department of Technological Paths, Faculty of Sciences of Gafsa, University of Gafsa, Gafsa 2112, Tunisia)

  • Faouzi Nasri

    (Mechanical Engineering Department, College of Engineering, University of Bisha, Bisha 61922, Saudi Arabia)

Abstract

This work deals with controlling the solar radiation reception rate (SRRR) (ratio of the incident solar radiation on tilted panel to the global incident solar radiation). Controlling the SRRR will permit the amount of the received solar energy on solar panels to be adjusted. This SRRR control is very useful for several technological applications such as solar thermal and photovoltaic technologies in extremely sunny regions around the world, such as the case of Makkah, Saudi Arabia. Thus, the sustainability of the cities and villages, located in such regions, is promoted. A novel design proposing a poly-tilted segmented panel (PTSP) is proposed as an original techno-logical solution enabling the control of the SRRR. Design technical details are clearly explained. The proposed design presents a cheap, simple and effective alternative to conventional sun tracking systems. The SRRR on the proposed PTSP is mathematically modeled. The influence of the combinations “number of segment/tilt angles” on the SRRR is assessed for the most significant days in the year: equinox, summer solstice and winter solstice. A specific “document-aided design”, showing the SRRR level reached by each specific combination “num-ber of segment/tilt angles”, is provided. Based on these documents, the adequate combination “number of segment/tilt angles” is easily determined by knowing the desired SRRR level. The SRRR level is determined based on the global incident solar radiation and the desired level of the incident so-lar radiation on the tilted panel. Results are properly presented, discussed and interpreted for each segment/tilt angles combination.

Suggested Citation

  • Faris Alqurashi & Rached Nciri & Abdulrahman Alghamdi & Chaouki Ali & Faouzi Nasri, 2022. "Control of the Solar Radiation Reception Rate (SRRR) Using a Novel Poly-Tilted Segmented Panel (PTSP) in the Region of Makkah, Saudi Arabia," Energies, MDPI, vol. 15(7), pages 1-15, March.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2357-:d:778185
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    References listed on IDEAS

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    1. Forero, N.L. & Caicedo, L.M. & Gordillo, G., 2007. "Correlation of global solar radiation values estimated and measured on an inclined surface for clear days in Bogotá," Renewable Energy, Elsevier, vol. 32(15), pages 2590-2602.
    2. Benghanem, M., 2011. "Optimization of tilt angle for solar panel: Case study for Madinah, Saudi Arabia," Applied Energy, Elsevier, vol. 88(4), pages 1427-1433, April.
    3. Jamroen, Chaowanan & Fongkerd, Chanon & Krongpha, Wipa & Komkum, Preecha & Pirayawaraporn, Alongkorn & Chindakham, Nachaya, 2021. "A novel UV sensor-based dual-axis solar tracking system: Implementation and performance analysis," Applied Energy, Elsevier, vol. 299(C).
    4. Das, Mehmet & Akpinar, Ebru Kavak, 2021. "Investigation of the effects of solar tracking system on performance of the solar air dryer," Renewable Energy, Elsevier, vol. 167(C), pages 907-916.
    5. Almarshoud, A.F., 2016. "Performance of solar resources in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 694-701.
    6. ElGamal, Ramadan & Kishk, Sameh & Al-Rejaie, Salim & ElMasry, Gamal, 2021. "Incorporation of a solar tracking system for enhancing the performance of solar air heaters in drying apple slices," Renewable Energy, Elsevier, vol. 167(C), pages 676-684.
    7. Jaeun Kim & Matheus Rabelo & Siva Parvathi Padi & Hasnain Yousuf & Eun-Chel Cho & Junsin Yi, 2021. "A Review of the Degradation of Photovoltaic Modules for Life Expectancy," Energies, MDPI, vol. 14(14), pages 1-21, July.
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