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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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