IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i9p3151-d802321.html
   My bibliography  Save this article

Performance Evaluation of a Hybrid Grid-Connected Photovoltaic Biogas-Generator Power System

Author

Listed:
  • Heyam Al-Najjar

    (Institute of Chemical and Energy Engineering, University of Natural Resources and Life Sciences, Muthgasse 107, 1190 Vienna, Austria)

  • Christoph Pfeifer

    (Institute of Chemical and Energy Engineering, University of Natural Resources and Life Sciences, Muthgasse 107, 1190 Vienna, Austria)

  • Rafat Al Afif

    (Institute of Chemical and Energy Engineering, University of Natural Resources and Life Sciences, Muthgasse 107, 1190 Vienna, Austria)

  • Hala J. El-Khozondar

    (Electrical Engineering and Smart Systems Department, Islamic University of Gaza, Gaza Strip P.O. Box 108, Palestine)

Abstract

In recent decades, works have been published on the Hybrid Renewable Energy System (HRES) to provide available, feasible, and efficient renewable energy systems. Several studies have looked at the efficiency of the systems in terms of sustainability through performance parameters. This study aims at estimating the optimum HRES based on biomass and photovoltaic (PV) using the case study of 94 residential buildings with an electricity demand of 84.5 kWp. The influence of key parameters (global solar irradiation, component efficiencies, fuel consumption, economic convenience) and their impact on the performance and cost of the system is investigated. The optimum system is evaluated by the simulation software HOMER Pro. A single year of hourly data is used to analyze the component performance and the overall system performance. In this work, a mathematical model based on the IEC 61724 standard is used to incorporate numerous performance indicators that are critical for estimating the performance of a hybrid system. Evaluating results comprise of three performance basic indicators, namely, energy efficiency, system sizing, and economic parameters.

Suggested Citation

  • Heyam Al-Najjar & Christoph Pfeifer & Rafat Al Afif & Hala J. El-Khozondar, 2022. "Performance Evaluation of a Hybrid Grid-Connected Photovoltaic Biogas-Generator Power System," Energies, MDPI, vol. 15(9), pages 1-22, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3151-:d:802321
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/9/3151/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/9/3151/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rad, Mohammad Amin Vaziri & Ghasempour, Roghaye & Rahdan, Parisa & Mousavi, Soroush & Arastounia, Mehrdad, 2020. "Techno-economic analysis of a hybrid power system based on the cost-effective hydrogen production method for rural electrification, a case study in Iran," Energy, Elsevier, vol. 190(C).
    2. Pablo Jimenez Zabalaga & Evelyn Cardozo & Luis A. Choque Campero & Joseph Adhemar Araoz Ramos, 2020. "Performance Analysis of a Stirling Engine Hybrid Power System," Energies, MDPI, vol. 13(4), pages 1-38, February.
    3. Bartolucci, Lorenzo & Cordiner, Stefano & Mulone, Vincenzo & Rocco, Vittorio & Rossi, Joao Luis, 2018. "Hybrid renewable energy systems for renewable integration in microgrids: Influence of sizing on performance," Energy, Elsevier, vol. 152(C), pages 744-758.
    4. Fazlur Rashid & Md. Emdadul Hoque & Muhammad Aziz & Talukdar Nazmus Sakib & Md. Tariqul Islam & Raihan Moker Robin, 2021. "Investigation of Optimal Hybrid Energy Systems Using Available Energy Sources in a Rural Area of Bangladesh," Energies, MDPI, vol. 14(18), pages 1-24, September.
    5. Mohamed Elnaggar & Ezzaldeen Edwan & Matthias Ritter, 2017. "Wind Energy Potential of Gaza Using Small Wind Turbines: A Feasibility Study," Energies, MDPI, vol. 10(8), pages 1-13, August.
    6. Ma, Tao & Yang, Hongxing & Lu, Lin, 2017. "Long term performance analysis of a standalone photovoltaic system under real conditions," Applied Energy, Elsevier, vol. 201(C), pages 320-331.
    7. Bruni, G. & Cordiner, S. & Mulone, V. & Sinisi, V. & Spagnolo, F., 2016. "Energy management in a domestic microgrid by means of model predictive controllers," Energy, Elsevier, vol. 108(C), pages 119-131.
    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. Nyong-Bassey, Bassey Etim & Giaouris, Damian & Patsios, Charalampos & Papadopoulou, Simira & Papadopoulos, Athanasios I. & Walker, Sara & Voutetakis, Spyros & Seferlis, Panos & Gadoue, Shady, 2020. "Reinforcement learning based adaptive power pinch analysis for energy management of stand-alone hybrid energy storage systems considering uncertainty," Energy, Elsevier, vol. 193(C).
    2. Felix Garcia-Torres & Ascension Zafra-Cabeza & Carlos Silva & Stephane Grieu & Tejaswinee Darure & Ana Estanqueiro, 2021. "Model Predictive Control for Microgrid Functionalities: Review and Future Challenges," Energies, MDPI, vol. 14(5), pages 1-26, February.
    3. Ma, Tao & Li, Meng & Kazemian, Arash, 2020. "Photovoltaic thermal module and solar thermal collector connected in series to produce electricity and high-grade heat simultaneously," Applied Energy, Elsevier, vol. 261(C).
    4. Vaziri Rad, Mohammad Amin & Kasaeian, Alibakhsh & Niu, Xiaofeng & Zhang, Kai & Mahian, Omid, 2023. "Excess electricity problem in off-grid hybrid renewable energy systems: A comprehensive review from challenges to prevalent solutions," Renewable Energy, Elsevier, vol. 212(C), pages 538-560.
    5. Abdullah Al Abri & Abdullah Al Kaaf & Musaab Allouyahi & Ali Al Wahaibi & Razzaqul Ahshan & Rashid S. Al Abri & Ahmed Al Abri, 2022. "Techno-Economic and Environmental Analysis of Renewable Mix Hybrid Energy System for Sustainable Electrification of Al-Dhafrat Rural Area in Oman," Energies, MDPI, vol. 16(1), pages 1-23, December.
    6. Jahangiri, Mehdi & Rezaei, Mostafa & Mostafaeipour, Ali & Goojani, Afsaneh Raiesi & Saghaei, Hamed & Hosseini Dehshiri, Seyyed Jalaladdin & Hosseini Dehshiri, Seyyed Shahabaddin, 2022. "Prioritization of solar electricity and hydrogen co-production stations considering PV losses and different types of solar trackers: A TOPSIS approach," Renewable Energy, Elsevier, vol. 186(C), pages 889-903.
    7. Deepika Bishnoi & Harsh Chaturvedi, 2022. "Optimal Design of a Hybrid Energy System for Economic and Environmental Sustainability of Onshore Oil and Gas Fields," Energies, MDPI, vol. 15(6), pages 1-21, March.
    8. Vikas Khare & Savita Nema & Prashant Baredar, 2019. "Reliability analysis of hybrid renewable energy system by fault tree analysis," Energy & Environment, , vol. 30(3), pages 542-555, May.
    9. Kools, L. & Phillipson, F., 2016. "Data granularity and the optimal planning of distributed generation," Energy, Elsevier, vol. 112(C), pages 342-352.
    10. Son, Yeong Geon & Oh, Byeong Chan & Acquah, Moses Amoasi & Kim, Sung Yul, 2023. "Optimal facility combination set of integrated energy system based on consensus point between independent system operator and independent power producer," Energy, Elsevier, vol. 266(C).
    11. William López-Castrillón & Héctor H. Sepúlveda & Cristian Mattar, 2021. "Off-Grid Hybrid Electrical Generation Systems in Remote Communities: Trends and Characteristics in Sustainability Solutions," Sustainability, MDPI, vol. 13(11), pages 1-29, May.
    12. Dadak, Ali & Mousavi, Seyed Ali & Mehrpooya, Mehdi & Kasaeian, Alibakhsh, 2022. "Techno-economic investigation and dual-objective optimization of a stand-alone combined configuration for the generation and storage of electricity and hydrogen applying hybrid renewable system," Renewable Energy, Elsevier, vol. 201(P1), pages 1-20.
    13. Rigo-Mariani, Rémy & Chea Wae, Sean Ooi & Mazzoni, Stefano & Romagnoli, Alessandro, 2020. "Comparison of optimization frameworks for the design of a multi-energy microgrid," Applied Energy, Elsevier, vol. 257(C).
    14. Hamilton, James & Negnevitsky, Michael & Wang, Xiaolin & Lyden, Sarah, 2019. "High penetration renewable generation within Australian isolated and remote power systems," Energy, Elsevier, vol. 168(C), pages 684-692.
    15. Hosseini Dehshiri, Seyyed Shahabaddin, 2022. "A new application of multi criteria decision making in energy technology in traditional buildings: A case study of Isfahan," Energy, Elsevier, vol. 240(C).
    16. Chmielniak, Tadeusz & Remiorz, Leszek, 2020. "Entropy analysis of hydrogen production in electrolytic processes," Energy, Elsevier, vol. 211(C).
    17. Jiao, P.H. & Chen, J.J. & Peng, K. & Zhao, Y.L. & Xin, K.F., 2020. "Multi-objective mean-semi-entropy model for optimal standalone micro-grid planning with uncertain renewable energy resources," Energy, Elsevier, vol. 191(C).
    18. Gabriel Nasser Doyle de Doile & Paulo Rotella Junior & Luiz Célio Souza Rocha & Ivan Bolis & Karel Janda & Luiz Moreira Coelho Junior, 2021. "Hybrid Wind and Solar Photovoltaic Generation with Energy Storage Systems: A Systematic Literature Review and Contributions to Technical and Economic Regulations," Energies, MDPI, vol. 14(20), pages 1-22, October.
    19. Takele Ferede Agajie & Armand Fopah-Lele & Isaac Amoussou & Ahmed Ali & Baseem Khan & Om Prakash Mahela & Ramakrishna S. S. Nuvvula & Divine Khan Ngwashi & Emmanuel Soriano Flores & Emmanuel Tanyi, 2023. "Techno-Economic Analysis and Optimization of Hybrid Renewable Energy System with Energy Storage under Two Operational Modes," Sustainability, MDPI, vol. 15(15), pages 1-31, July.
    20. Pipicelli, Michele & Muccillo, Massimiliano & Gimelli, Alfredo, 2023. "Influence of the control strategy on the performance of hybrid polygeneration energy system using a prescient model predictive control," Applied Energy, Elsevier, vol. 329(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:15:y:2022:i:9:p:3151-:d:802321. 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.