Abstract

Mathematical model for numerical simulation of the transient heat transfer and fluid flows in water thermal energy storage tanks is developed. The model allows analysis of the thermal fields in the accumulators at different schemes and modes of charging and discharging. It was verified and validated based on experimentally obtained information about the temperature stratification at charging of a thermal accumulator at a laboratory solar system. The proposed approach for numerical study of the thermal energy storage is convenient for parametrical estimation and improvement of the efficiency of the thermal systems.

Highlights

  • The thermal energy storage (TES) in the form of sensible heat in insulated water tanks is the most widely used method at systems where the periods of energy production and consumption do not coincide

  • The proposed approach for numerical study of the thermal energy storage is convenient for parametrical estimation and improvement of the efficiency of the thermal systems

  • The temperature stratification in the liquid domain due to the buoyancy can increase the performance of these technologies:

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Summary

Introduction

The thermal energy storage (TES) in the form of sensible heat in insulated water tanks is the most widely used method at systems where the periods of energy production and consumption do not coincide. Such investigation are oriented to improvements of the accumulator shape [7], locations and geometries of the inlets and outlets [8], internal constructions for better temperature stratification [9] and charging and discharging flow parameters. The initial conditions include: - initial temperature field in the water domain It can be uniform or obtained as result of previous numerical simulation of charging or discharging of the tank; - zero initial velocity and turbulence ratio; - initial pressure distribution pin taking into account hydrostatic pressure variation in the tank. As finer is the mesh as smaller are time steps

Object of investigation
CFD analysis and validations of the models
Findings
Conclusions
Full Text
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