IDEAS home Printed from https://ideas.repec.org/a/oup/ijlctc/v16y2021i2p326-340..html
   My bibliography  Save this article

Discrete optimization algorithm for optimal design of a solar/wind/battery hybrid energy conversion scheme
[Design and optimization of autonomous solar-wind-reverse osmosis desalination systems coupling battery and hydrogen energy storage by an improved bee algorithm]

Author

Listed:
  • Weiping Zhang
  • Akbar Maleki
  • Ali Komeili Birjandi
  • Mohammad Alhuyi Nazari
  • Omid Mohammadi

Abstract

Renewable energy technologies have been developed in recent years due to the limited sources of fossil fuels, the possibility of depletion of fossil fuels and the related environmental issues. In these types of systems, it is crucial to reach optimum sizing in order to have an affordable system based on solar and wind energy and energy storage. In this study, a powerful optimization scheme based on tabu search, called discrete tabu search, has been proposed for sizing three stand-alone solar/wind/energy storage (battery) hybrid systems. For validating the applied algorithm effectiveness, the results are compared with the results found by the discrete harmony search. The obtained outcomes are compared on the basis of total annual cost. The components of the scheme are analyzed in different operating conditions by applying meteorological data in addition to real time information from three typical regions of Iran. According to the obtained data, applying ‘discrete tabu search’ leads to better outputs on the basis of mean, standard deviation and worst indexes.

Suggested Citation

  • Weiping Zhang & Akbar Maleki & Ali Komeili Birjandi & Mohammad Alhuyi Nazari & Omid Mohammadi, 2021. "Discrete optimization algorithm for optimal design of a solar/wind/battery hybrid energy conversion scheme [Design and optimization of autonomous solar-wind-reverse osmosis desalination systems cou," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 16(2), pages 326-340.
    • Handle: RePEc:oup:ijlctc:v:16:y:2021:i:2:p:326-340.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ijlct/ctaa067
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sun, Liangliang & Peng, Jiayu & Dinçer, Hasan & Yüksel, Serhat, 2022. "Coalition-oriented strategic selection of renewable energy system alternatives using q-ROF DEMATEL with golden cut," Energy, Elsevier, vol. 256(C).
    2. Seyed Mohammad Seyed Alavi & Akbar Maleki & Ali Khaleghi, 2022. "Optimal site selection for wind power plant using multi-criteria decision-making methods: A case study in eastern Iran [Selection of optimal location and design of a stand-alone photovoltaic scheme," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 1319-1337.

    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:oup:ijlctc:v:16:y:2021:i:2:p:326-340.. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/ijlct .

    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.