IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v30y2014icp821-832.html
   My bibliography  Save this article

Sizing stand-alone photovoltaic–wind hybrid system: Techno-economic analysis and optimization

Author

Listed:
  • Belmili, Hocine
  • Haddadi, Mourad
  • Bacha, Seddik
  • Almi, Mohamed Fayçal
  • Bendib, Boualem

Abstract

In this paper a detailed sizing method of stand-alone Photovoltaic–Wind hybrid systems is proposed and evaluated by the design and the development of flexible software basing on techno-economic analysis and using Object-Oriented Programming. First, a short review of the different sizing programs is given after, a detailed sizing methodology for PV–Wind systems is presented; finally, new software for sizing such systems is conceived. This computer program is building around fundamentals photovoltaic and wind generators models, storage capacity model, Loss of Power Supply Probability (LPSP) algorithm and a proposed techno-economic algorithm to determine the system that would guarantee a reliable energy supply with a lowest investment.

Suggested Citation

  • Belmili, Hocine & Haddadi, Mourad & Bacha, Seddik & Almi, Mohamed Fayçal & Bendib, Boualem, 2014. "Sizing stand-alone photovoltaic–wind hybrid system: Techno-economic analysis and optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 821-832.
  • Handle: RePEc:eee:rensus:v:30:y:2014:i:c:p:821-832
    DOI: 10.1016/j.rser.2013.11.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032113007600
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2013.11.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bernal-Agustín, José L. & Dufo-López, Rodolfo, 2009. "Simulation and optimization of stand-alone hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2111-2118, October.
    2. Dalton, G.J. & Lockington, D.A. & Baldock, T.E., 2008. "Feasibility analysis of stand-alone renewable energy supply options for a large hotel," Renewable Energy, Elsevier, vol. 33(7), pages 1475-1490.
    3. Diaf, S. & Diaf, D. & Belhamel, M. & Haddadi, M. & Louche, A., 2007. "A methodology for optimal sizing of autonomous hybrid PV/wind system," Energy Policy, Elsevier, vol. 35(11), pages 5708-5718, November.
    4. Prasad, A. Rajendra & Natarajan, E., 2006. "Optimization of integrated photovoltaic–wind power generation systems with battery storage," Energy, Elsevier, vol. 31(12), pages 1943-1954.
    5. Muselli, M & Notton, G & Poggi, P & Louche, A, 2000. "PV-hybrid power systems sizing incorporating battery storage: an analysis via simulation calculations," Renewable Energy, Elsevier, vol. 20(1), pages 1-7.
    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. Khatib, Tamer & Mohamed, Azah & Sopian, K., 2013. "A review of photovoltaic systems size optimization techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 454-465.
    2. Tezer, Tuba & Yaman, Ramazan & Yaman, Gülşen, 2017. "Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 840-853.
    3. Wissem, Zghal & Gueorgui, Kantchev & Hédi, Kchaou, 2012. "Modeling and technical–economic optimization of an autonomous photovoltaic system," Energy, Elsevier, vol. 37(1), pages 263-272.
    4. Sinha, Sunanda & Chandel, S.S., 2015. "Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 755-769.
    5. Gupta, Ajai & Saini, R.P. & Sharma, M.P., 2011. "Modelling of hybrid energy system—Part I: Problem formulation and model development," Renewable Energy, Elsevier, vol. 36(2), pages 459-465.
    6. Siddaiah, Rajanna & Saini, R.P., 2016. "A review on planning, configurations, modeling and optimization techniques of hybrid renewable energy systems for off grid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 376-396.
    7. Bernal-Agustín, José L. & Dufo-López, Rodolfo, 2009. "Simulation and optimization of stand-alone hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2111-2118, October.
    8. Bajpai, Prabodh & Dash, Vaishalee, 2012. "Hybrid renewable energy systems for power generation in stand-alone applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2926-2939.
    9. Zhang, Qi & Ishihara, Keiichi N. & Mclellan, Benjamin C. & Tezuka, Tetsuo, 2012. "Scenario analysis on future electricity supply and demand in Japan," Energy, Elsevier, vol. 38(1), pages 376-385.
    10. Maleki, Akbar & Pourfayaz, Fathollah & Rosen, Marc A., 2016. "A novel framework for optimal design of hybrid renewable energy-based autonomous energy systems: A case study for Namin, Iran," Energy, Elsevier, vol. 98(C), pages 168-180.
    11. Perera, A.T.D. & Attalage, R.A. & Perera, K.K.C.K. & Dassanayake, V.P.C., 2013. "A hybrid tool to combine multi-objective optimization and multi-criterion decision making in designing standalone hybrid energy systems," Applied Energy, Elsevier, vol. 107(C), pages 412-425.
    12. Yap, Wai Kean & Karri, Vishy, 2015. "An off-grid hybrid PV/diesel model as a planning and design tool, incorporating dynamic and ANN modelling techniques," Renewable Energy, Elsevier, vol. 78(C), pages 42-50.
    13. Rajkumar, R.K. & Ramachandaramurthy, V.K. & Yong, B.L. & Chia, D.B., 2011. "Techno-economical optimization of hybrid pv/wind/battery system using Neuro-Fuzzy," Energy, Elsevier, vol. 36(8), pages 5148-5153.
    14. Chauhan, Anurag & Saini, R.P., 2014. "A review on Integrated Renewable Energy System based power generation for stand-alone applications: Configurations, storage options, sizing methodologies and control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 99-120.
    15. Perera, A.T.D. & Attalage, R.A. & Perera, K.K.C.K. & Dassanayake, V.P.C., 2013. "Designing standalone hybrid energy systems minimizing initial investment, life cycle cost and pollutant emission," Energy, Elsevier, vol. 54(C), pages 220-230.
    16. Song, Jeonghun & Oh, Si-Doek & Yoo, Yungpil & Seo, Seok-Ho & Paek, Insu & Song, Yuan & Song, Seung Jin, 2018. "System design and policy suggestion for reducing electricity curtailment in renewable power systems for remote islands," Applied Energy, Elsevier, vol. 225(C), pages 195-208.
    17. Chunqiong Miao & Kailiang Teng & Yaodong Wang & Long Jiang, 2020. "Technoeconomic Analysis on a Hybrid Power System for the UK Household Using Renewable Energy: A Case Study," Energies, MDPI, Open Access Journal, vol. 13(12), pages 1-19, June.
    18. Shaahid, S.M., 2011. "Review of research on autonomous wind farms and solar parks and their feasibility for commercial loads in hot regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3877-3887.
    19. Billionnet, Alain & Costa, Marie-Christine & Poirion, Pierre-Louis, 2016. "Robust optimal sizing of a hybrid energy stand-alone system," European Journal of Operational Research, Elsevier, vol. 254(2), pages 565-575.
    20. Erdinc, O. & Uzunoglu, M., 2012. "Optimum design of hybrid renewable energy systems: Overview of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1412-1425.

    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:eee:rensus:v:30:y:2014:i:c:p:821-832. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.