IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i9p2128-d351070.html
   My bibliography  Save this article

A Study on Developing an Automatic Controller with an Inverter Collector Pump for Solar-Assisted Heating System

Author

Listed:
  • Le Minh Nhut

    (Department of Thermal Engineering, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City 700000, Vietnam)

  • Youn Cheol Park

    (Department of Mechanical Engineering, Jeju National University, Jeju, Jeju-do 63243, Korea)

Abstract

In this study, based on the optimal equation m = 0.05 Δ T A c (kg/min) of the variable mass flow rate in the collector loop, an automatic controller with an inverter collector pump for the collector loop of the solar-assisted heating system is designed for these experiments and to then be used for real industry. The pump for the collector loop is an inverter type that is controlled by an embedded controller with Windows, based on C# language, and the change of speed depends on the variation of the mass flow rate through the collector loop. The input of the automatic controller with an inverter collector pump is given by a thermocouple input module that is connected to the embedded controller with the RS-485 communication protocol. In this work, the experiments were carried out on three different days, namely a clear day, an intermittently cloudy day and an overcast day, to evaluate the stability and the precision of the automatic controller, as well as the contribution of the useful heat gain from the collector for the solar-assisted heating system. Simulation and experimental results are also validated and analyzed.

Suggested Citation

  • Le Minh Nhut & Youn Cheol Park, 2020. "A Study on Developing an Automatic Controller with an Inverter Collector Pump for Solar-Assisted Heating System," Energies, MDPI, vol. 13(9), pages 1-11, April.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2128-:d:351070
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/9/2128/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/9/2128/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ntsaluba, Sula & Zhu, Bing & Xia, Xiaohua, 2016. "Optimal flow control of a forced circulation solar water heating system with energy storage units and connecting pipes," Renewable Energy, Elsevier, vol. 89(C), pages 108-124.
    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. Correa-Jullian, Camila & López Droguett, Enrique & Cardemil, José Miguel, 2020. "Operation scheduling in a solar thermal system: A reinforcement learning-based framework," Applied Energy, Elsevier, vol. 268(C).
    2. Tilahun, Fitsum Bekele & Bhandari, Ramchandra & Mamo, Mengesha, 2019. "Design optimization and control approach for a solar-augmented industrial heating," Energy, Elsevier, vol. 179(C), pages 186-198.
    3. Khoshvaght-Aliabadi, M. & Tatari, M. & Salami, M., 2018. "Analysis on Al2O3/water nanofluid flow in a channel by inserting corrugated/perforated fins for solar heating heat exchangers," Renewable Energy, Elsevier, vol. 115(C), pages 1099-1108.
    4. Edoardo Alessio Piana & Benedetta Grassi & Laurent Socal, 2020. "A Standard-Based Method to Simulate the Behavior of Thermal Solar Systems with a Stratified Storage Tank," Energies, MDPI, vol. 13(1), pages 1-22, January.
    5. Lugo, S. & García-Valladares, O. & Best, R. & Hernández, J. & Hernández, F., 2019. "Numerical simulation and experimental validation of an evacuated solar collector heating system with gas boiler backup for industrial process heating in warm climates," Renewable Energy, Elsevier, vol. 139(C), pages 1120-1132.
    6. Tian, Shuai & Lu, Yuxin & Zhou, Xin & Zhang, Lun & An, Jingjing & Yan, Da & Shi, Xing & Jin, Xing, 2023. "A new perspective of solar hot water system operation optimization: Supply and demand matching," Renewable Energy, Elsevier, vol. 207(C), pages 89-104.

    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:13:y:2020:i:9:p:2128-:d:351070. 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.