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A Modelica Toolbox for the Simulation of Borehole Thermal Energy Storage Systems

Formhals, Julian ; Hemmatabady, Hoofar ; Welsch, Bastian ; Schulte, Daniel Otto ; Sass, Ingo (2020):
A Modelica Toolbox for the Simulation of Borehole Thermal Energy Storage Systems.
In: Energies, 13 (9), MDPI, ISSN 1996-1073,
DOI: 10.25534/tuprints-00013419,

Copyright Information: CC BY 4.0 International - Creative Commons, Attribution.

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Item Type: Article
Origin: Secondary publication via sponsored Golden Open Access
Title: A Modelica Toolbox for the Simulation of Borehole Thermal Energy Storage Systems
Language: English

Borehole thermal energy storage (BTES) systems facilitate the subsurface seasonal storage of thermal energy on district heating scales. These systems’ performances are strongly dependent on operational conditions like temperature levels or hydraulic circuitry. Preliminary numerical system simulations improve comprehension of the storage performance and its interdependencies with other system components, but require both accurate and computationally efficient models. This study presents a toolbox for the simulation of borehole thermal energy storage systems in Modelica. The storage model is divided into a borehole heat exchanger (BHE), a local, and a global sub-model. For each sub-model, different modeling approaches can be deployed. To assess the overall performance of the model, two studies are carried out: One compares the model results to those of 3D finite element method (FEM) models to investigate the model’s validity over a large range of parameters. In a second study, the accuracies of the implemented model variants are assessed by comparing their results to monitoring data from an existing BTES system. Both studies prove the validity of the modeling approaches under investigation. Although the differences in accuracy for the compared variants are small, the proper model choice can significantly reduce the computational effort.

Journal or Publication Title: Energies
Volume of the journal: 13
Issue Number: 9
Publisher: MDPI
Classification DDC: 500 Naturwissenschaften und Mathematik > 550 Geowissenschaften
Divisions: 11 Department of Materials and Earth Sciences > Earth Science
Date Deposited: 28 Aug 2020 11:38
Last Modified: 28 Aug 2020 13:56
DOI: 10.25534/tuprints-00013419
URL / URN: https://doi.org/10.3390/en13092327
URN: urn:nbn:de:tuda-tuprints-134198
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/13419
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