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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/68407700:21720/22:00359159

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20704 - Energy and fuels

Projekt

<a href="/cs/project/TN01000056" target="_blank" >TN01000056: Centrum pokročilých materiálů a efektivních budov</a><br>

Návaznosti

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

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Energy Reports

ISSN

2352-4847

e-ISSN

2352-4847

Svazek periodika

8

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

15

Strana od-do

1321-1335

Kód UT WoS článku

000841651400076

EID výsledku v databázi Scopus

2-s2.0-85135913749