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Flow models of perforated manifolds and plates for the design of a large thermal storage tank for district heating with minimal maldistribution and thermocline growth

Author

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  • Pilotelli, M.
  • Grassi, B.
  • Lezzi, A.M.
  • Beretta, G.P.

Abstract

Large water tanks are used as thermal energy storage components in district heating systems to store sensible heat produced by intermittent energy sources and to decouple the production of thermal energy from its demand. Good thermal stratification is crucial for energy storage efficiency, thus flow maldistribution and mixing of water layers at different temperatures should be minimized. This paper proposes an innovative internal flow distribution configuration for a large-size thermal energy storage, and develops new simplified analytical models for the choice of its design parameters. In the novel configuration, water is injected into (and collected from) the cap volumes of the tank by flowing radially inward (outward) through several small orifices of a peripheral toroidal manifold. Two horizontal perforated plates cover the full cross sections downstream of the manifolds and rectify the vertical flow, thus reducing mixing. Uniform perforation pitch was analytically demonstrated to be the most reasonable solution both for the toroidal distributors and for the rectifying plates. A 1D model was developed to predict the time evolution of the vertical temperature distribution in the tank. The turbulence-related parameters that could not be inferred from the existing fluid-mechanics literature were initially estimated with CFD simulations. The results of CFD-calibrated model were then compared to experimental data obtained from a full-scale large water-tank facility recently built in Brescia according to the proposed design. After a re-calibration of the exponent defining the decay of homogeneous turbulence downstream of the perforated plates, good agreement was found between measured and predicted vertical temperatures. With the novel inlet design, a thermocline of about 0.5 m is established immediately downstream of the perforated plate, and remains practically constant along time. The model is important to minimize and control the thermocline thickness so as to maximize the recoverable thermal energy, not only at the tank design stage but also to identify optimal loading and unloading protocols.

Suggested Citation

  • Pilotelli, M. & Grassi, B. & Lezzi, A.M. & Beretta, G.P., 2022. "Flow models of perforated manifolds and plates for the design of a large thermal storage tank for district heating with minimal maldistribution and thermocline growth," Applied Energy, Elsevier, vol. 322(C).
  • Handle: RePEc:eee:appene:v:322:y:2022:i:c:s030626192200767x
    DOI: 10.1016/j.apenergy.2022.119436
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    References listed on IDEAS

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    1. Guelpa, Elisa & Marincioni, Ludovica & Verda, Vittorio, 2019. "Towards 4th generation district heating: Prediction of building thermal load for optimal management," Energy, Elsevier, vol. 171(C), pages 510-522.
    2. Novo, Amaya V. & Bayon, Joseba R. & Castro-Fresno, Daniel & Rodriguez-Hernandez, Jorge, 2010. "Review of seasonal heat storage in large basins: Water tanks and gravel-water pits," Applied Energy, Elsevier, vol. 87(2), pages 390-397, February.
    3. Romanchenko, Dmytro & Odenberger, Mikael & Göransson, Lisa & Johnsson, Filip, 2017. "Impact of electricity price fluctuations on the operation of district heating systems: A case study of district heating in Göteborg, Sweden," Applied Energy, Elsevier, vol. 204(C), pages 16-30.
    4. Chung, Jae Dong & Cho, Sung Hwan & Tae, Choon Seob & Yoo, Hoseon, 2008. "The effect of diffuser configuration on thermal stratification in a rectangular storage tank," Renewable Energy, Elsevier, vol. 33(10), pages 2236-2245.
    5. Deng, Na & He, Guansong & Gao, Yuan & Yang, Bin & Zhao, Jun & He, Shunming & Tian, Xue, 2017. "Comparative analysis of optimal operation strategies for district heating and cooling system based on design and actual load," Applied Energy, Elsevier, vol. 205(C), pages 577-588.
    6. Verda, Vittorio & Colella, Francesco, 2011. "Primary energy savings through thermal storage in district heating networks," Energy, Elsevier, vol. 36(7), pages 4278-4286.
    7. Zurigat, Y. H. & Ghajar, A. J. & Moretti, P. M., 1988. "Stratified thermal storage tank inlet mixing characterization," Applied Energy, Elsevier, vol. 30(2), pages 99-111.
    8. Kocijel, Lino & Mrzljak, Vedran & Glažar, Vladimir, 2020. "Numerical analysis of geometrical and process parameters influence on temperature stratification in a large volumetric heat storage tank," Energy, Elsevier, vol. 194(C).
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    2. Gianni Martinazzoli & Daniele Pasinelli & Adriano Maria Lezzi & Mariagrazia Pilotelli, 2023. "Design of a 5th Generation District Heating Substation Prototype for a Real Case Study," Sustainability, MDPI, vol. 15(4), pages 1-21, February.

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