Abstract

In the present paper, the numerical modeling of an innovative latent thermal energy storage unit, suitable for direct integration into the condenser or evaporator of a heat pump is presented. The Modelica language, in the Dymola environment, and TIL libraries were used for the development of a modular model, which is easily re-usable and adaptable to different configurations. Validation of the model was carried out using experimental data under different operating modes and it was subsequently used for the optimization of a design for charging and discharge. In particular, since the storage unit is made up of parallel channels for the heat transfer fluid, refrigerant, and phase change material, their number and distribution were changed to evaluate the effect on heat transfer performance.

Highlights

  • Since the storage unit is made up of parallel channels for the heat transfer fluid, refrigerant, and phase change material, their number and distribution were changed to evaluate the effect on heat transfer performance

  • In order to improve the heat transfer within latent thermal energy storage (TES) (LTES), several methods have been proposed, which mainly include an increase of the thermal conductivity of the material itself, the use of extended heat transfer surfaces in the heat exchanger (HEX), and the application of heat pipes [6,7]

  • The present paper describes a reduced numerical model, realized in the Modelica language with Dymola software, for the design of an innovative heat exchanger suitable for application in heat pumps

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Summary

A Fast-Reduced Model for an Innovative Latent Thermal Energy

Consiglio Nazionale delle Ricerche (CNR), Istituto di Tecnologie Avanzate per l’Energia “Nicola. Featured Application: the latent storage unit described in this paper is suitable for application in heat pumps and chillers; either used for space heating/cooling or domestic hot water

Introduction
Design
The overall number the volumes of the fluids for the HEX tested are listed in
Model Description
Model Validation
Optimization through Parametric Analysis under Variable Input Conditions
Comparison with the State-of- the-Art
Findings
Conclusions

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