Loading…

Parametric study of a regenerative heat exchanger for ventilation with a periodic change in the air flow direction

[Display omitted] •2D mathematical model of the regenerative heat exchanger is developed.•Energy efficiency can be really more than 90%.•Influence of parameters on the energy efficiency was revealed.•Recommendations for optimizing are given. A two-dimensional mathematical model of a regenerative hea...

Full description

Saved in:
Bibliographic Details
Published in:Applied thermal engineering 2022-02, Vol.202, p.117831, Article 117831
Main Authors: Aktershev, S.P., Mezentsev, I.V., Mezentseva, N.N.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:[Display omitted] •2D mathematical model of the regenerative heat exchanger is developed.•Energy efficiency can be really more than 90%.•Influence of parameters on the energy efficiency was revealed.•Recommendations for optimizing are given. A two-dimensional mathematical model of a regenerative heat exchanger for a ventilation system with a periodic change in the air flow direction is developed. This system allows a significant economy of the thermal energy for heating buildings in winter. Such devices are quite compact, has no moving details and do not require significant electrical power for their operation, while they can provide the ventilation needs of both whole buildings and individual rooms in multi-storey buildings. The definition of energy efficiency of a regenerative heat exchanger is formulated in terms of reducing the loss of thermal energy. It is shown, that regenerative heat exchanger can really reduce thermal energy losses by ventilation more than by 90%. Parametric studies are fulfilled using the method of numerical simulation and the influence of operating and design parameters of the heat exchanger on its energy efficiency is revealed. In numerical calculations, a group of parameters that most strongly affect the energy efficiency of the ventilation system is identified, and recommendations for optimizing these parameters are given.
ISSN:1359-4311
1873-5606
DOI:10.1016/j.applthermaleng.2021.117831