AN INVERSE IDENTIFICATION OF THE AIR MASS FLOW RATE DISTRIBUTION IN THE AIR CHANNELS OF AN AIR-PCM HEAT EXCHANGER

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU147248" target="_blank" >RIV/00216305:26210/22:PU147248 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1615/TFEC2022.ees.040737" target="_blank" >http://dx.doi.org/10.1615/TFEC2022.ees.040737</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1615/TFEC2022.ees.040737" target="_blank" >10.1615/TFEC2022.ees.040737</a>

Jazyk výsledku

angličtina

Název v původním jazyce

AN INVERSE IDENTIFICATION OF THE AIR MASS FLOW RATE DISTRIBUTION IN THE AIR CHANNELS OF AN AIR-PCM HEAT EXCHANGER

Popis výsledku v původním jazyce

The paper explores the application of the particle swarm optimization (PSO) method to heat transfer in an air-PCM heat exchanger (PCMHX). The studied PCMHX consisted of PCM- filled aluminum panels with air channels between the panels. The study focused on the air mass flow rate distribution in the air channels of the PCMHX. Ideally, there should be the same air mass flow rates in all air channel of the PCMHX. However, due to the connection of an air duct (with a relatively small cross section area) to the PCMHX, the distribution of air mass flow rates to the air channels was not uniform. In the first step, the direct heat transfer problem was solved with the use of the simulation model of the PCMHX. The proposed numerical model was based on the energy balance approach and programmed in MATLAB. The total air mass flow rate and its distribution to the particular air channels was known (20 air channels were considered) with the average mass flow rate of mAVG = 0.078 kg s−1. The complete heat storage cycle of the PCMHX (charging/discharging of heat) was simulated. In the second step, the total air mass flow rate was considered known but its distribution to the particular air channels was assumed to be unknown. The distribution of the air mass flow rates was sought out with the use of the PSO method from the inverse heat transfer problem where the outlet air temperature evolution in time was known (it was obtained in the first step by the solution of the direct problem). A good accuracy of the inversely identified air mass flow rate distribution was achieved in the study. The relative difference of up to 0.1 % and 1 % between the pre-simulated and optimised scenarios was obtained for parameters Δmmax and σa, respectively.

Název v anglickém jazyce

AN INVERSE IDENTIFICATION OF THE AIR MASS FLOW RATE DISTRIBUTION IN THE AIR CHANNELS OF AN AIR-PCM HEAT EXCHANGER

Popis výsledku anglicky

The paper explores the application of the particle swarm optimization (PSO) method to heat transfer in an air-PCM heat exchanger (PCMHX). The studied PCMHX consisted of PCM- filled aluminum panels with air channels between the panels. The study focused on the air mass flow rate distribution in the air channels of the PCMHX. Ideally, there should be the same air mass flow rates in all air channel of the PCMHX. However, due to the connection of an air duct (with a relatively small cross section area) to the PCMHX, the distribution of air mass flow rates to the air channels was not uniform. In the first step, the direct heat transfer problem was solved with the use of the simulation model of the PCMHX. The proposed numerical model was based on the energy balance approach and programmed in MATLAB. The total air mass flow rate and its distribution to the particular air channels was known (20 air channels were considered) with the average mass flow rate of mAVG = 0.078 kg s−1. The complete heat storage cycle of the PCMHX (charging/discharging of heat) was simulated. In the second step, the total air mass flow rate was considered known but its distribution to the particular air channels was assumed to be unknown. The distribution of the air mass flow rates was sought out with the use of the PSO method from the inverse heat transfer problem where the outlet air temperature evolution in time was known (it was obtained in the first step by the solution of the direct problem). A good accuracy of the inversely identified air mass flow rate distribution was achieved in the study. The relative difference of up to 0.1 % and 1 % between the pre-simulated and optimised scenarios was obtained for parameters Δmmax and σa, respectively.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20303 - Thermodynamics

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the Thermal and Fluids Engineering Summer Conference

ISBN

—

ISSN

2379-1748

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1311-1316

Název nakladatele

Begell House Inc.

Místo vydání

neuveden

Místo konání akce

Las Vegas

Datum konání akce

15. 5. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—