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

Iván De la Cruz-Loredo, Daniel Zinsmeister, Thomas Licklederer, Carlos E. Ugalde-Loo, Daniel A. Morales, Héctor Bastida, Vedran S. Perić and Arslan Saleem

Applied Energy, 2023, vol. 332, issue C, No S030626192201813X

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.

Keywords: Thermal energy storage; Hot water tanks; Heating systems; Energy systems; Dynamic systems modelling (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (3)

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DOI: 10.1016/j.apenergy.2022.120556

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