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Finite element modelling of the thermal performance of salinity gradient solar ponds

Anagnostopoulos, Argyrios, Sebastia-Saez, Daniel, Campbell, Alasdair N. and Arellano-Garcia, Harvey (2020) Finite element modelling of the thermal performance of salinity gradient solar ponds Energy, 203, 117861.

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Abstract

Solar ponds are a promising technology to capture and store solar energy. Accurate, reliable and versatile models are thus needed to assess the thermal performance of salinity gradient solar ponds. A CFD simulation set-up has been developed in this work to obtain a fully versatile model applicable to any practical scenario. Also, a comparison between the results obtained with an existing one-dimensional MATLAB model and the two- and three-dimensional CFD models developed in this work has been carried out to quantify the gain in accuracy and the increase in computational resources needed. The two and three-dimensional models achieve considerably higher accuracy than the 1-D model. They are subsequently found to accurately evaluate the heat loss to the surroundings, the irradiance absorbed by the solar pond and the thermal performance of the pond throughout the year. Two geographic locations: Bafgh (Iran) and Kuwait City, have been evaluated.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
NameEmailORCID
Anagnostopoulos, Argyrios
Sebastia-Saez, Danielj.sebastiasaez@surrey.ac.uk
Campbell, Alasdair N.a.n.campbell@surrey.ac.uk
Arellano-Garcia, Harveyh.arellano-garcia@surrey.ac.uk
Date : 15 July 2020
Funders : Engineering and Physical Sciences Research Council (EPSRC)
DOI : 10.1016/j.energy.2020.117861
Copyright Disclaimer : © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords : Solar energy; Solar pond; Finite element method; Numerical analysis
Depositing User : Clive Harris
Date Deposited : 11 Jun 2020 15:27
Last Modified : 11 Jun 2020 15:27
URI: http://epubs.surrey.ac.uk/id/eprint/857783

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