IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i12p3095-d371934.html
   My bibliography  Save this article

A Numerical Study for Performance Prediction of a Metal Hydride Thermal Energy Conversion System Elaborating the Superadiabatic Condition

Author

Listed:
  • Suyun Ham

    (Department of Civil Engineering, the University of Texas at Arlington, Arlington, TX 76019, USA)

  • Sanggoo Kang

    (Department of Civil Engineering, the University of Texas at Arlington, Arlington, TX 76019, USA)

  • Kyu-Jung Kim

    (Controlled Thermal Energy Engineering, Inc. (CTEE, Inc.), Champaign, IL 61820, USA)

Abstract

In this study, we investigate a numerical-modeling method uniquely performing analyses of 50 different metal hydrides to find the optimized thermal effect. This paper presents a metal-hydride thermal energy conversion method, which offers an alternative approach to the traditional vapor-compression heat pump associated with conventional heating, ventilation, and air conditioning (HVAC). The authors have developed an innovative heat pump applicable to non-vapor compression-based systems, which are in compliance with low-temperature heat source requirements for operation. The new heat pump has a high-energy savings potential for both heating and cooling that featured two different metal-hydrides, that are distributed inside parallel channels filled with porous media. Thermal energy conversion is developed as a set of successive thermal waves. The numerical-modeling results present the enhanced thermal effect, which is attained in a synchronous motion of the thermal waves and the heat source (or sink) inside paired porous media channels, which accompanies the phase transition in the succession of unit metal-hydride heat pumps. The results present in a form convenient for the prediction of thermal energy efficiency based on the proposed thermal-conversion method in real devices that were experimentally verified in previous work. The non-vapor technologies will be operational with low energy input, which makes it possible to utilize waste heat or low-level heat often found in the environment such as solar radiation, exhaust gas from a heat engine, or high-temperature fuel cell system.

Suggested Citation

  • Suyun Ham & Sanggoo Kang & Kyu-Jung Kim, 2020. "A Numerical Study for Performance Prediction of a Metal Hydride Thermal Energy Conversion System Elaborating the Superadiabatic Condition," Energies, MDPI, vol. 13(12), pages 1-18, June.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3095-:d:371934
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/12/3095/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/12/3095/
    Download Restriction: no
    ---><---

    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:12:p:3095-:d:371934. 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: 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.