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Modelling stratified thermal energy storage tanks using an advanced flowrate distribution of the received flow

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  • Saloux, E.
  • Candanedo, J.A.

Abstract

Energy storage plays a central role in managing energy resources and demand. Among the numerous energy storage technologies, stratified storage tanks are a promising option, but their operation requires to be finely tuned in order to optimize their utilization. Accurate models are required to properly design and control such systems. In this paper, an advanced flowrate distribution of the flow entering the tank is developed for modelling stratified storage tanks based on a nodal approach. The model is calibrated and validated with the measurements of a 240-m3 water tank used in a solar community district heating system. The effects of the model parameters and the simulation time step on the model accuracy are also investigated and the selection of the optimal number of nodes must be carefully performed along with the simulation time step. Overall, the proposed model achieves better results than the traditional method and is suitable to be used in applications such as design optimization problems and model predictive control.

Suggested Citation

  • Saloux, E. & Candanedo, J.A., 2019. "Modelling stratified thermal energy storage tanks using an advanced flowrate distribution of the received flow," Applied Energy, Elsevier, vol. 241(C), pages 34-45.
    • Handle: RePEc:eee:appene:v:241:y:2019:i:c:p:34-45
    DOI: 10.1016/j.apenergy.2019.02.075
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    Cited by:

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    2. Lago, Jesus & De Ridder, Fjo & Mazairac, Wiet & De Schutter, Bart, 2019. "A 1-dimensional continuous and smooth model for thermally stratified storage tanks including mixing and buoyancy," Applied Energy, Elsevier, vol. 248(C), pages 640-655.
    3. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    4. Rendall, Joseph & Abu-Heiba, Ahmad & Gluesenkamp, Kyle & Nawaz, Kashif & Worek, William & Elatar, Ahmed, 2021. "Nondimensional convection numbers modeling thermally stratified storage tanks: Richardson's number and hot-water tanks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    5. Golmohamadi, Hessam, 2021. "Stochastic energy optimization of residential heat pumps in uncertain electricity markets," Applied Energy, Elsevier, vol. 303(C).
    6. Saloux, Etienne & Candanedo, José A., 2021. "Model-based predictive control to minimize primary energy use in a solar district heating system with seasonal thermal energy storage," Applied Energy, Elsevier, vol. 291(C).
    7. Untrau, Alix & Sochard, Sabine & Marias, Frédéric & Reneaume, Jean-Michel & Le Roux, Galo A.C. & Serra, Sylvain, 2023. "A fast and accurate 1-dimensional model for dynamic simulation and optimization of a stratified thermal energy storage," Applied Energy, Elsevier, vol. 333(C).

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