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Experimental validation of a hybrid 1-D multi-node model of a hot water thermal energy storage tank

De La Cruz-Loredo, Ivan, Zinsmeister, Daniel, Licklederer, Thomas, Ugalde Loo, Carlos ORCID: https://orcid.org/0000-0001-6361-4454, Morales Sandoval, Daniel, Bastida Hernandez, Jose, Peric, Vedran S. and Saleem, Arslan ORCID: https://orcid.org/0000-0001-7780-0258 2023. Experimental validation of a hybrid 1-D multi-node model of a hot water thermal energy storage tank. Applied Energy , 120556. 10.1016/j.apenergy.2022.120556

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Abstract

Hot water-based thermal energy storage (TES) tanks are extensively used in heating applications to provide operational flexibility. Simple yet effective one-dimensional (1-D) tank models are desirable to simulate and design efficient energy management systems. However, the standard multi-node modelling approach struggles to reproduce the dynamics of highly thermally stratified tanks due to their artificial numerical diffusion. In this paper, a novel 1-D multi-node modelling approach is introduced for accurately simulating water tanks with a high extent of thermal stratification. A non-linear, hybrid continuous–discrete time model able to capture the sudden temperature change within the tank is presented. The modelling approach was adopted to simulate a commercial TES tank, with the model being implemented in MATLAB/Simulink. Results from experimental tests were compared with simulation results, demonstrating that a hybrid continuous–discrete 12-node model accurately estimates the temperatures of the tank. It is also shown that the hybrid model avoids the numerical diffusion exhibited by standard multi-node models. This has been evidenced by the reduced root mean square and mean absolute errors exhibited by the hybrid model when compared with the experimental data.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 0306-2619
Funders: EPSRC, WEFO, CONACyT
Date of First Compliant Deposit: 19 December 2022
Date of Acceptance: 18 December 2022
Last Modified: 30 May 2024 16:18
URI: https://orca.cardiff.ac.uk/id/eprint/155007

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