Title:    Effective estimation of the state-of-charge of latent heat thermal energy storage for heating and cooling systems using non-linear state observers - data

Citation
Bastida H, De la Cruz Loredo I, Ugalde-Loo CE (2023). Effective estimation of the state-of-charge of latent heat thermal energy storage for heating and cooling systems using non-linear state observers - data. Cardiff University. https://doi.org/10.17035/d.2023.0244590321

Dataset Details

Publisher: Cardiff University

Date (year) of data becoming publicly available: 2023

Data format: .txt

Estimated total storage size of dataset: Less than 100 megabytes

DOI : 10.17035/d.2023.0244590321

DOI URL: http://doi.org/10.17035/d.2023.0244590321

Description

The data describe the simulation of mathematical models of thermal energy storage units and their state-of-charge observers.The data is provided by txt files. The simulation results include the time column for each file. Two different thermal energy storage are analyzed. For cooling applications, an ice tank is modeled and for heating applications, a shell-and-tube configuration unit is employed. The charging and discharging processes are simulated. The quantification of the sensible and latent heat stored by the tanks is carried out. Simulations of non-linear observers' performance were done for charging-discharging cycles.  The errors of the non-linear observers included the estimation of the internal temperatures of the phase change material and the heat transfer fluid. They are split into two txt files for each simulation due to 40 variables being simulated.

The header of each column is the name of the variable used in the legend of the plots. The txt files are named according to the number of the plots.

Reserch results based upon these data are published at https://doi.org/10.1016/j.apenergy.2022.120448