Prediction of the Temperature Field Development in Large Heat Storage Tanks for Integration in Network Simulation

Integrating an increasing amount of renewable energy into district heating systems requires thermal energy storages. For the planning and operation of the whole system valid and powerful storage models are essential for implementation in e. g. thermo-hydraulic network simulations and operational optimisation tools. The modelling of large tank thermal energy storages (TTES) up to 60,000 m³ can be insufficient by using a simple energy balance model as it does not provide information about the temperature profile. The detailed model called FreeTTES is capable of predicting the temperature distribution inside a large atmospheric TTES. This model simplifies fluid dynamic processes by assuming horizontal homogeneity and analyses them only in vertical direction. The analytical fluid mechanics approach is combined with numerical, measurement data-based approaches. The validation of the model is performed using DTS (distributed temperature sensing) data

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Publication Details

Journal
Solarthermie-Symposium Proceedings
Published
2024-12-03
DOI
https://doi.org/10.52825/st-symposium.v1i.1350
Primary Topic
Integrated Energy Systems Optimization
Type
article
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article

Prediction of the Temperature Field Development in Large Heat Storage Tanks for Integration in Network Simulation

Karin Rühling, Peter Stange, Anja Matthees, Bogdan Narusavicius et al.
Solarthermie-Symposium Proceedings
Integrated Energy Systems Optimization
article

Prediction of the Temperature Field Development in Large Heat Storage Tanks for Integration in Network Simulation

Karin Rühling, Peter Stange, Anja Matthees, Bogdan Narusavicius, Franziska Koch
article en

Abstract

Integrating an increasing amount of renewable energy into district heating systems requires thermal energy storages. For the planning and operation of the whole system valid and powerful storage models are essential for implementation in e. g. thermo-hydraulic network simulations and operational optimisation tools. The modelling of large tank thermal energy storages (TTES) up to 60,000 m³ can be insufficient by using a simple energy balance model as it does not provide information about the temperature profile. The detailed model called FreeTTES is capable of predicting the temperature distribution inside a large atmospheric TTES. This model simplifies fluid dynamic processes by assuming horizontal homogeneity and analyses them only in vertical direction. The analytical fluid mechanics approach is combined with numerical, measurement data-based approaches. The validation of the model is performed using DTS (distributed temperature sensing) data

Solarthermie-Symposium ProceedingsVol. 1
Technische Universität Dresden (DE)
Affordable and clean energy
Openalex Percentile: Top 80%
Integrated Energy Systems Optimization
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