IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2019-01-6.html
   My bibliography  Save this article

Energy Performance of Fuzzy Logic Controllers in Smart Buildings

Author

Listed:
  • Ali Baniyounes

    (Applied Science Private University, Jordan,)

  • Yazeed Ghadi

    (Al Ain University of Science and Technology, United Arab Emirates,)

  • Ayman Abu Baker

    (Applied Science Private University, Jordan.)

Abstract

This article presents simulation study on using fuzzy logic based controllers in order to determine building s occupancy level and hence its effect on energy usage. The projected results of energy savings then is used to determine and investigate the proposed fuzzy logic based control system environmental and economic aspects. The proposed system energy performance are measured based on the system occupancy density level, Daylight utilization and natural ambient air and humidity. The simulation and modelling engines used in this article are MATLAB and EnergyPlus. Results showed that system will save 14% of total energy demand at 50 % of occupancy level compared to total energy demand at full occupancy level (100% occupancy level) and also it is able to save 24% of total energy demand at 25 % of occupancy level compared to full occupancy level energy demand (100% occupancy level).

Suggested Citation

  • Ali Baniyounes & Yazeed Ghadi & Ayman Abu Baker, 2019. "Energy Performance of Fuzzy Logic Controllers in Smart Buildings," International Journal of Energy Economics and Policy, Econjournals, vol. 9(1), pages 41-47.
  • Handle: RePEc:eco:journ2:2019-01-6
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/6393/4091
    Download Restriction: no

    File URL: https://www.econjournals.com/index.php/ijeep/article/view/6393/4091
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Darwanto Darwanto & Nenik Woyanti & Purbayu Budi Santosa & Hadi Sasana & Imam Ghozali, 2019. "The Damaging Growth: An Empiric Evidence of Environmental Kuznets Curve in Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 339-345.

    More about this item

    Keywords

    Daylight; Occupancy level; Fuzzy logic;
    All these keywords.

    JEL classification:

    • K32 - Law and Economics - - Other Substantive Areas of Law - - - Energy, Environmental, Health, and Safety Law
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

    Statistics

    Access and download statistics

    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:eco:journ2:2019-01-6. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.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.