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Energy modeling of thermal energy storage (TES) using intelligent stream processing system

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F22%3A00359159" target="_blank" >RIV/68407700:21220/22:00359159 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21720/22:00359159

  • Result on the web

    <a href="https://doi.org/10.1016/j.egyr.2022.08.012" target="_blank" >https://doi.org/10.1016/j.egyr.2022.08.012</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.egyr.2022.08.012" target="_blank" >10.1016/j.egyr.2022.08.012</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Energy modeling of thermal energy storage (TES) using intelligent stream processing system

  • Original language description

    Thermal energy storage (TES) is the core element of renewable energy system (RES) and can considerably affect its overall efficiency. An effective thermal energy storage (TES) should enhance the stratification by restricting inlet mixing. In this paper, an experimental study is presented to evaluate the performance of thermal energy storage (TES). Discharging of the tank was conducted with different inlet flow rates to assess the effect of inlet mixing on thermal stratification. Results are quantified in terms of temperature distribution, MIX, and Richardson number and were visualized to predict the behavior of TES. In addition, the data parsing is done in live mode with ad-hoc built stream-processing data layer. Finally a methodology for time series prediction in the context of TES using high end LSTM network is framed. It was concluded that discharging rate of 800 l/h has the maximum mixing and thus the worst stratification, while prediction efficiency fell well within 5.2% of the error range.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20704 - Energy and fuels

Result continuities

  • Project

    <a href="/en/project/TN01000056" target="_blank" >TN01000056: Centre for Advanced Materials and Efficient Buildings</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Energy Reports

  • ISSN

    2352-4847

  • e-ISSN

    2352-4847

  • Volume of the periodical

    8

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    15

  • Pages from-to

    1321-1335

  • UT code for WoS article

    000841651400076

  • EID of the result in the Scopus database

    2-s2.0-85135913749