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

Author

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

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.

Suggested Citation

  • De la Cruz-Loredo, Iván & Zinsmeister, Daniel & Licklederer, Thomas & Ugalde-Loo, Carlos E. & Morales, Daniel A. & Bastida, Héctor & Perić, Vedran S. & Saleem, Arslan, 2023. "Experimental validation of a hybrid 1-D multi-node model of a hot water thermal energy storage tank," Applied Energy, Elsevier, vol. 332(C).
    • Handle: RePEc:eee:appene:v:332:y:2023:i:c:s030626192201813x
    DOI: 10.1016/j.apenergy.2022.120556
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    1. Ferrari, M.L. & Cuneo, A. & Pascenti, M. & Traverso, A., 2017. "Real-time state of charge estimation in thermal storage vessels applied to a smart polygeneration grid," Applied Energy, Elsevier, vol. 206(C), pages 90-100.
    2. Huang, Tao & Yang, Xiaochen & Svendsen, Svend, 2020. "Multi-mode control method for the existing domestic hot water storage tanks with district heating supply," Energy, Elsevier, vol. 191(C).
    3. Wang, Zilong & Zhang, Hua & Dou, Binlin & Huang, Huajie & Wu, Weidong & Wang, Zhiyun, 2017. "Experimental and numerical research of thermal stratification with a novel inlet in a dynamic hot water storage tank," Renewable Energy, Elsevier, vol. 111(C), pages 353-371.
    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. Theofanis Benakopoulos & Robbe Salenbien & Dirk Vanhoudt & Svend Svendsen, 2019. "Improved Control of Radiator Heating Systems with Thermostatic Radiator Valves without Pre-Setting Function," Energies, MDPI, vol. 12(17), pages 1-24, August.
    6. Castell, A. & Medrano, M. & Solé, C. & Cabeza, L.F., 2010. "Dimensionless numbers used to characterize stratification in water tanks for discharging at low flow rates," Renewable Energy, Elsevier, vol. 35(10), pages 2192-2199.
    7. Baeten, Brecht & Confrey, Thomas & Pecceu, Sébastien & Rogiers, Frederik & Helsen, Lieve, 2016. "A validated model for mixing and buoyancy in stratified hot water storage tanks for use in building energy simulations," Applied Energy, Elsevier, vol. 172(C), pages 217-229.
    8. Dahash, Abdulrahman & Ochs, Fabian & Janetti, Michele Bianchi & Streicher, Wolfgang, 2019. "Advances in seasonal thermal energy storage for solar district heating applications: A critical review on large-scale hot-water tank and pit thermal energy storage systems," Applied Energy, Elsevier, vol. 239(C), pages 296-315.
    9. Guelpa, Elisa & Verda, Vittorio, 2019. "Thermal energy storage in district heating and cooling systems: A review," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    10. Nora Cadau & Andrea De Lorenzi & Agostino Gambarotta & Mirko Morini & Michele Rossi, 2019. "Development and Analysis of a Multi-Node Dynamic Model for the Simulation of Stratified Thermal Energy Storage," Energies, MDPI, vol. 12(22), pages 1-22, November.
    11. Han, Y.M. & Wang, R.Z. & Dai, Y.J., 2009. "Thermal stratification within the water tank," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 1014-1026, June.
    12. del Hoyo Arce, Itzal & Herrero López, Saioa & López Perez, Susana & Rämä, Miika & Klobut, Krzysztof & Febres, Jesus A., 2018. "Models for fast modelling of district heating and cooling networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P2), pages 1863-1873.
    13. Vandermeulen, Annelies & van der Heijde, Bram & Helsen, Lieve, 2018. "Controlling district heating and cooling networks to unlock flexibility: A review," Energy, Elsevier, vol. 151(C), pages 103-115.
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