IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i2p924-d1035393.html
   My bibliography  Save this article

Hybrid CSP—PV Plants for Jordan, Tunisia and Algeria

Author

Listed:
  • Daniel Benitez

    (Institute of Solar Research, German Aerospace Center (DLR), 51147 Cologne, Germany)

  • Marc Röger

    (Institute of Solar Research, German Aerospace Center (DLR), 51147 Cologne, Germany)

  • Andreas Kazantzidis

    (Laboratory of Atmospheric Physics, Physics Department, University of Patras, 26504 Rio Achaia, Greece)

  • Ahmed Al-Salaymeh

    (Mechanical Engineering Department, The University of Jordan, Amman 11942, Jordan)

  • Sofiane Bouaichaoui

    (Centre de Développement des Energies Renouvelable (CDER), Algiers 16340, Algeria)

  • AmenAllah Guizani

    (Research and Technology Center of Energy (CRTEn), Technopole De Borj-Cédria, Hammam-Lif 2050, Tunisia)

  • Moncef Balghouthi

    (Research and Technology Center of Energy (CRTEn), Technopole De Borj-Cédria, Hammam-Lif 2050, Tunisia)

Abstract

Hybrid concentrated solar thermal power (CSP) and photovoltaic (PV) plants are gaining relevance because they combine their advantages: easy installation and low cost of PV plus dispatchability of CSP. This paper presents results of a techno-economic modelling of this hybrid approach for sites in Jordan, Tunisia and Algeria. Local boundary conditions such as meteorology, cost and electricity demand have been considered to determine the best configurations for these three sites. Different CSP technologies with thermal energy storage have been selected. Hybridization with natural gas has also been included. The optimization is done towards minimizing the LCOE while covering the electrical demand 24/7. Results are presented for different CO 2 emissions ranges, as the use of fossil fuel has a strong impact on the LCOE and for environmental reasons, it may be preferred to be kept to a minimum. For most of the cases analyzed, the fraction of energy from PV that leads to minimum LCOE is lower than the energy from CSP. It is shown that for countries with a high fuel price, the use of natural gas reduces the LCOE until a share from this source of about 20%. A higher integration of fossil fuel for sites rich in solar irradiation is considered not advantageous if the price of natural gas is above EUR 40/MWh.

Suggested Citation

  • Daniel Benitez & Marc Röger & Andreas Kazantzidis & Ahmed Al-Salaymeh & Sofiane Bouaichaoui & AmenAllah Guizani & Moncef Balghouthi, 2023. "Hybrid CSP—PV Plants for Jordan, Tunisia and Algeria," Energies, MDPI, vol. 16(2), pages 1-17, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:924-:d:1035393
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/2/924/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/2/924/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chennaif, Mohammed & Zahboune, Hassan & Elhafyani, Mohammed & Zouggar, Smail, 2021. "Electric System Cascade Extended Analysis for optimal sizing of an autonomous hybrid CSP/PV/wind system with Battery Energy Storage System and thermal energy storage," Energy, Elsevier, vol. 227(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. Danish, Syed Noman & Al-Ansary, Hany & El-Leathy, Abdelrahman & Ba-Abbad, Mazen & Khan, Salah Ud-Din & Rizvi, Arslan & Orfi, Jamel & Al-Nakhli, Ahmed, 2022. "Experimental and techno-economic analysis of two innovative solar thermal receiver designs for a point focus solar Fresnel collector," Energy, Elsevier, vol. 261(PA).
    2. Emrani, Anisa & Berrada, Asmae & Bakhouya, Mohamed, 2022. "Optimal sizing and deployment of gravity energy storage system in hybrid PV-Wind power plant," Renewable Energy, Elsevier, vol. 183(C), pages 12-27.
    3. Chennaif, Mohammed & Maaouane, Mohamed & Zahboune, Hassan & Elhafyani, Mohammed & Zouggar, Smail, 2022. "Tri-objective techno-economic sizing optimization of Off-grid and On-grid renewable energy systems using Electric system Cascade Extended analysis and system Advisor Model," Applied Energy, Elsevier, vol. 305(C).
    4. Ludmil Stoyanov & Ivan Bachev & Zahari Zarkov & Vladimir Lazarov & Gilles Notton, 2021. "Multivariate Analysis of a Wind–PV-Based Water Pumping Hybrid System for Irrigation Purposes," Energies, MDPI, vol. 14(11), pages 1-28, May.
    5. He, Yi & Guo, Su & Dong, Peixin & Wang, Chen & Huang, Jing & Zhou, Jianxu, 2022. "Techno-economic comparison of different hybrid energy storage systems for off-grid renewable energy applications based on a novel probabilistic reliability index," Applied Energy, Elsevier, vol. 328(C).
    6. Ahmed, Eihab E.E. & Demirci, Alpaslan & Tercan, Said Mirza, 2023. "Optimal sizing and techno-enviro-economic feasibility assessment of solar tracker-based hybrid energy systems for rural electrification in Sudan," Renewable Energy, Elsevier, vol. 205(C), pages 1057-1070.
    7. He, Yi & Guo, Su & Zhou, Jianxu & Song, Guotao & Kurban, Aynur & Wang, Haowei, 2022. "The multi-stage framework for optimal sizing and operation of hybrid electrical-thermal energy storage system," Energy, Elsevier, vol. 245(C).
    8. Liu, Hongtao & Zhai, Rongrong & Patchigolla, Kumar & Turner, Peter & Yu, Xiaohan & Wang, Peng, 2023. "Multi-objective optimisation of a thermal-storage PV-CSP-wind hybrid power system in three operation modes," Energy, Elsevier, vol. 284(C).
    9. Liu, Lintong & Zhai, Rongrong & Hu, Yangdi, 2023. "Performance evaluation of wind-solar-hydrogen system for renewable energy generation and green hydrogen generation and storage: Energy, exergy, economic, and enviroeconomic," Energy, Elsevier, vol. 276(C).
    10. Liu, Lintong & Zhai, Rongrong & Hu, Yangdi, 2023. "Multi-objective optimization with advanced exergy analysis of a wind-solar‑hydrogen multi-energy supply system," Applied Energy, Elsevier, vol. 348(C).
    11. Mingyi Liu & Bin Zhang & Jiaqi Wang & Han Liu & Jianxing Wang & Chenghao Liu & Jiahui Zhao & Yue Sun & Rongrong Zhai & Yong Zhu, 2023. "Optimal Configuration of Wind-PV and Energy Storage in Large Clean Energy Bases," Sustainability, MDPI, vol. 15(17), pages 1-23, August.
    12. Alaa Fadhil Kareem & Abdulrazzak Akroot & Hasanain A. Abdul Wahhab & Wadah Talal & Rabeea M. Ghazal & Ali Alfaris, 2023. "Exergo–Economic and Parametric Analysis of Waste Heat Recovery from Taji Gas Turbines Power Plant Using Rankine Cycle and Organic Rankine Cycle," Sustainability, MDPI, vol. 15(12), pages 1-17, June.

    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:2:p:924-:d:1035393. 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.