SELECTION CRITERIA OF WORKING PAIRS ADSORBENT - ADSORBATE FOR THERMAL ENERGY TRANSFORMERS

  • 1Technical University of Kosice, Faculty of Manufacturing Technologies with a seat in Presov, Department of Process Technique, Presov, SK
  • 2Ukrainian State University of Chemical Technology, Dnipro, UA
  • 3Institute Of Industrial and Business Technologies, Ukrainian State University of Science and Technologies, Dnipro, UA

Abstract

In the manuscript the main factors that affect the thermal mass of open and closed types of heat storage devices are shown. Also, the main requirements for adsorption modules are given. The calculation procedure has been refined, which includes the determination of heat load, heat of adsorption, adsorbent mass, as well as integral, structural, and specific thermal mass. The specific thermal masses of adsorption heat-accumulating modules of open and closed types were evaluated. The main factors affecting their value are analysed. It is shown that the specific thermal mass of the adsorption heat storage module increases significantly due to the adsorption of water during the discharge of the device. It is shown that it reaches its maximum values at the end of the discharge stage, when the maximum values of adsorption in the cycle are reached. The influence of the design of the heat storage module on the value of the specific thermal mass has been confirmed. It is shown that the maximum values of these changes correspond to the composites containing 80% salt and 20% silica gel, due to the maximum values of the limiting adsorption and the heat of adsorption, which contributes to the lower values of the adsorbent mass, which is required to cover the thermal load. Specific thermal masses of adsorption modules based on "silica gel - sodium sulphate" and "silica gel - sodium acetate" composites are compared. The composition of the composite is 80% sodium sulphate and 20% silica gel, which corresponds to the minimum dimensions of the adsorption module, and therefore the maximum value of the specific thermal mass.

Recommended articles

CALIBRATION OF THE ROBOTIC ARM WITH CORRECTIONS USING LOCAL LINEAR NEURO-FUZZY MODELS

JIRI SVEDA, PETR BENES, JAN HLADIK, MICHAEL VALASEK, ZBYNEK SIKA, MARTIN NECAS, JAN PELIKAN, ZDENEK NEUSSER
Keywords: Robot calibration | Local linear model | Neuro-fuzzy model | parameter identification | Accuracy of machine positioning