Next Article in Journal
Cement-Formation Debonding Due to Temperature Variation in Geothermal Wells: An Intensive Numerical Simulation Assessment
Previous Article in Journal
Control System for the Performance Analysis of Turbines at Laboratory Scale
Previous Article in Special Issue
Heat Transfer in 3D Laguerre–Voronoi Open-Cell Foams under Pulsating Flow
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Charging of an Air–Rock Bed Thermal Energy Storage under Natural and Forced Convection

by
Ashenafi Kebedom Abrha
1,*,
Mebrahtu Kidanu Teklehaymanot
1,
Mulu Bayray Kahsay
1,2 and
Ole Jørgen Nydal
2
1
School of Mechanical and Industrial Engineering, EiT-M, Mekelle University, Mekelle 231, Ethiopia
2
Department of Energy and Process Engineering, NTNU Norwegian University of Science and Technology, N-7491 Trondheim, Norway
*
Author to whom correspondence should be addressed.
Energies 2024, 17(19), 4952; https://doi.org/10.3390/en17194952
Submission received: 14 July 2024 / Revised: 26 September 2024 / Accepted: 28 September 2024 / Published: 3 October 2024
(This article belongs to the Special Issue Flow and Heat Transfer in Porous Media)

Abstract

An air-rock bed thermal storage system was designed for small-scale powered generation and analyzed with computational fluid dynamics (CFD) using ANSYS-Fluent simulation. An experimental system was constructed to compare and validate the simulation model results. The storage unit is a cylindrical steel container with granite rock pebbles as a storage medium. The CFD simulation used a porous flow model. Transient-state simulations were performed on a 2D axisymmetric model using a pressure-based solver. During charging, heat input that keeps the bottom temperature at 550 °C was applied to raise the storage temperature. Performance analysis was conducted under various porosities, considering natural and forced convection. The natural convection analysis showed insignificant convection contribution after 10 h of charging, as observed in both average air velocity and the temperature profile plots. The temperature distribution profiles at various positions for both convection modes showed good agreement between the simulation and experimental results. Additionally, both cases exhibited similar temperature growth trends, further validating the models. Forced convection reduced the charging time from 60 h to 5 h to store 70 MJ of energy at a porosity of 0.4, compared to natural convection, which stored only 50 MJ in the same time. This extended charging period was attributed to poor natural convective heat transfer, indicating that relying solely on natural convection for thermal energy storage under the given conditions is not practical. Using a small fan to enhance heat transfer, forced convection is a more practical method for charging the system, making it suitable for power generation applications.
Keywords: airrock bed; thermal storage; CFD simulation; natural convection; forced convection; porous flow model airrock bed; thermal storage; CFD simulation; natural convection; forced convection; porous flow model

Share and Cite

MDPI and ACS Style

Abrha, A.K.; Teklehaymanot, M.K.; Kahsay, M.B.; Nydal, O.J. Charging of an Air–Rock Bed Thermal Energy Storage under Natural and Forced Convection. Energies 2024, 17, 4952. https://doi.org/10.3390/en17194952

AMA Style

Abrha AK, Teklehaymanot MK, Kahsay MB, Nydal OJ. Charging of an Air–Rock Bed Thermal Energy Storage under Natural and Forced Convection. Energies. 2024; 17(19):4952. https://doi.org/10.3390/en17194952

Chicago/Turabian Style

Abrha, Ashenafi Kebedom, Mebrahtu Kidanu Teklehaymanot, Mulu Bayray Kahsay, and Ole Jørgen Nydal. 2024. "Charging of an Air–Rock Bed Thermal Energy Storage under Natural and Forced Convection" Energies 17, no. 19: 4952. https://doi.org/10.3390/en17194952

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop