IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-3-030-84152-2_9.html
   My bibliography  Save this book chapter

Zephyrus: Grain Aeration Strategy Based on the Prediction of Temperature and Moisture Fronts

In: Information and Communication Technologies for Agriculture—Theme III: Decision

Author

Listed:
  • D. C. Lopes

    (Federal University of São João del-Rei)

  • A. J. Steidle Neto

    (Federal University of São João del-Rei)

Abstract

Grain aeration is an established low-cost and chemical-free technology for maintaining favorable storage conditions for the safe preservation of grain quality. Currently, the most efficient controllers are based on simulations of the aeration process. They frequently depend on complex programming codes, which limit their implementation for professionals who work in the postharvest sector, resulting in longer computing times. In this work, a new aeration control strategy, called Zephyrus, was proposed based on the prediction of speeds and changes of temperature and moisture fronts while air is passed through a grain bulk. The proposed controller was tested in a pilot study, resulting in a grain cooling of 11.4 °C with a moisture content variation of 0.6%, also maintaining an average temperature gradient of 2.6 °C throughout the grain bulk. Along the 6 months of study, the energy required for cooling 0.42 t of grain was 0.06 kWh t−1 °C−1 (0.30 kWh t−1). The proposed control strategy was also compared with two other controllers by using simulation procedures. Results showed that Zephyrus was more efficient to achieve grain cooling for 56% of the simulated scenarios. When considering the power consumption, Zephyrus required lower electrical energy per mass of cooled grain in 44.5% of the simulated scenarios. Zephyrus control strategy can be used with different aeration system designs, automatically adjusting its set points according to the geographic region and season.

Suggested Citation

  • D. C. Lopes & A. J. Steidle Neto, 2022. "Zephyrus: Grain Aeration Strategy Based on the Prediction of Temperature and Moisture Fronts," Springer Optimization and Its Applications, in: Dionysis D. Bochtis & Claus Grøn Sørensen & Spyros Fountas & Vasileios Moysiadis & Panos M. Pardalos (ed.), Information and Communication Technologies for Agriculture—Theme III: Decision, pages 181-198, Springer.
  • Handle: RePEc:spr:spochp:978-3-030-84152-2_9
    DOI: 10.1007/978-3-030-84152-2_9
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:spochp:978-3-030-84152-2_9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.