Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Numerical optimization of a finned cavity latent thermal energy storage enclosure for solar power production

Dissertation (MEng (Mechanical Engineering))--University of Pretoria, 2022.

Saved in:
Bibliographic Details
Other Authors: Dirker, Jaco
Format: Thesis
Language:English
Published: University of Pretoria 2022
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867613522494488576
access_status_str Open Access
author2 Dirker, Jaco
author_browse Dirker, Jaco
author_facet Dirker, Jaco
collection Thesis
dc_rights_str_mv © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MEng (Mechanical Engineering))--University of Pretoria, 2022.
format Thesis
id oai:repository.up.ac.za:2263/84197
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:37:29.335Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/84197 Numerical optimization of a finned cavity latent thermal energy storage enclosure for solar power production Dirker, Jaco mollerjohann23@gmail.com Meyer, Josua P. Möller, Johann UCTD Numerical optimization Latent thermal energy storage Solar power production Engineering, built environment and information technology theses SDG-07 SDG-07: Affordable and clean energy Engineering, built environment and information technology theses SDG-09 SDG-09: Industry, innovation and infrastructure Engineering, built environment and information technology theses SDG-13 SDG-13: Climate action Dissertation (MEng (Mechanical Engineering))--University of Pretoria, 2022. The utilization of thermal solar energy has significantly increased in recent times. However, due to the daily temporal nature of solar irradiation, which is affected by, for instance, cloud coverage, efficient thermal energy storage (TES) techniques are needed. Latent heat energy storage using phase change materials (PCMs) is a promising technology for concentrated solar power (CSP), but due to the low thermal conductivity of many PCMs, careful geometric design is required to sustain acceptable energy charging and discharging rates. In this numerical investigation the heat transfer rate in a latent heat thermal energy storage enclosure containing sodium nitrate PCM and horizontal high-conductive aluminium plate fins was considered. An enthalpy-porosity technique was used to model the phase change process in a two-dimensional domain while also considering buoyancy driven flow. The influence of the fin pitch on the heat rate during energy discharge, when the PCM solidifies, was studied. The width of the enclosure and the thickness of the fins relative to the enclosure volume was kept constant. Two thermal boundary condition cases were investigated, being, when the outer wall was 10 K and 5 K colder than the phase change temperature. The results revealed a definite optimum fin pitch exist when the wall temperature is 10 K colder than the phase change temperature. National Research Foundation Clean Energy Research Group The South African Centre for High Performance Computing mi2025 Mechanical and Aeronautical Engineering MEng (Mechanical Engineering) Unrestricted SDG-07: Affordable and clean energy SDG-09: Industry, innovation and infrastructure SDG-13: Climate action 2022-02-25T05:48:41Z 2022-02-25T05:48:41Z 2022 2022 Dissertation * A2022 http://hdl.handle.net/2263/84197 en © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Numerical optimization
Latent thermal energy storage
Solar power production
Engineering, built environment and information technology theses SDG-07
SDG-07: Affordable and clean energy
Engineering, built environment and information technology theses SDG-09
SDG-09: Industry, innovation and infrastructure
Engineering, built environment and information technology theses SDG-13
SDG-13: Climate action
Numerical optimization of a finned cavity latent thermal energy storage enclosure for solar power production
title Numerical optimization of a finned cavity latent thermal energy storage enclosure for solar power production
title_full Numerical optimization of a finned cavity latent thermal energy storage enclosure for solar power production
title_fullStr Numerical optimization of a finned cavity latent thermal energy storage enclosure for solar power production
title_full_unstemmed Numerical optimization of a finned cavity latent thermal energy storage enclosure for solar power production
title_short Numerical optimization of a finned cavity latent thermal energy storage enclosure for solar power production
title_sort numerical optimization of a finned cavity latent thermal energy storage enclosure for solar power production
topic UCTD
Numerical optimization
Latent thermal energy storage
Solar power production
Engineering, built environment and information technology theses SDG-07
SDG-07: Affordable and clean energy
Engineering, built environment and information technology theses SDG-09
SDG-09: Industry, innovation and infrastructure
Engineering, built environment and information technology theses SDG-13
SDG-13: Climate action
url http://hdl.handle.net/2263/84197