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Article

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Title

Hydrodynamic Optimization of Coaxial Ground Heat Exchanger

Authors

[ 1 ] Instytut Inżynierii Środowiska i Instalacji Budowlanych, Wydział Inżynierii Środowiska i Energetyki, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.10] Environmental engineering, mining and energy

Year of publication

2021

Published in

Journal of Fluids Engineering

Journal year: 2021 | Journal volume: vol. 143 | Journal number: no. 10

Article type

scientific article

Publication language

english

Keywords
EN
  • coaxial ground heat exchanger
  • hydrodynamic optimization
Abstract

EN A simple mathematical model of fluid flow is applied to determine the cross-sectional shape of a coaxial ground heat exchanger (CGHE) for which the friction pressure drop is minimal. Both laminar and turbulent flows of a Newtonian fluid are analyzed. The dimensionless form of the friction pressure losses is taken as the objective function, and the dimensionless internal diameter and wall thickness of the inner tube is adopted as decision variables, with the reference length taken to be the internal diameter of the external pipe. The resulting optimization problem is solved by means of a hybrid analytical-numerical method. The obtained solutions are generalized as two simple equations valid for laminar and turbulent flows, respectively. It is shown that the pressure losses in a coaxial ground heat exchanger with optimal cross section may be considerably smaller than the pressure losses for a nonoptimal one. The obtained results are significant for the global optimization of CGHEs, resulting in improved energy conservation of buildings and district heating systems.

Date of online publication

04.06.2021

Pages (from - to)

101205-1 - 101205-8

DOI

10.1115/1.4051080

URL

https://asmedigitalcollection.asme.org/fluidsengineering/article-abstract/143/10/101205/1108862/Hydrodynamic-Optimization-of-Coaxial-Ground-Heat?redirectedFrom=fulltext

Ministry points / journal

100

Ministry points / journal in years 2017-2021

100

Impact Factor

1,998

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