Prediction of performance parameters of stratified TES tank using artificial neural network

Afzal Ahmed Soomro; Ainul Akmar Mokhtar

doi:10.1063/1.5075600

Prediction of performance parameters of stratified TES tank using artificial neural network

Afzal Ahmed Soomro^*, Ainul Akmar Mokhtar

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Various performance measures have been developed for performance evaluation of the stratified Thermal Energy Storage (TES) tank. There are many methods which have been developed including numerical, analytical to determine the TES tank efficiency using Figure of Merit (FOM) and Thermocline Thickness (WTC) parameters as the performance indicators. However, these methods are more complicated and need more technical data. Therefore, a simple and easy method is required to predict the performance of TES tank. In this paper, a comparative study using results from analytically solved sigmoid dose response function and artificial neural network (ANN) is conducted to determine the parameters.

Original language	English
Title of host publication	6th International Conference on Production, Energy and Reliability 2018
Subtitle of host publication	World Engineering Science and Technology Congress, ESTCON 2018
Editors	Mohammad Shakir Nasif, Shaharin Anwar B. Sulaiman, Srinivasa Rao Pedapati, Hamdan Ya, Othman B. Mamat, William Pao King Soon
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735417618
DOIs	https://doi.org/10.1063/1.5075600
State	Published - 13 Nov 2018
Externally published	Yes
Event	6th International Conference on Production, Energy and Reliability, ICPER 2018 - Kuala Lumpur, Malaysia Duration: 13 Aug 2018 → 14 Aug 2018

Publication series

Name	AIP Conference Proceedings
Volume	2035
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	6th International Conference on Production, Energy and Reliability, ICPER 2018
Country/Territory	Malaysia
City	Kuala Lumpur
Period	13/08/18 → 14/08/18

Bibliographical note

Publisher Copyright:
© 2018 Author(s).

ASJC Scopus subject areas

General Physics and Astronomy

Access to Document

10.1063/1.5075600

Cite this

Soomro, A. A., & Mokhtar, A. A. (2018). Prediction of performance parameters of stratified TES tank using artificial neural network. In M. S. Nasif, S. A. B. Sulaiman, S. R. Pedapati, H. Ya, O. B. Mamat, & W. P. K. Soon (Eds.), 6th International Conference on Production, Energy and Reliability 2018: World Engineering Science and Technology Congress, ESTCON 2018 Article 080001 (AIP Conference Proceedings; Vol. 2035). American Institute of Physics Inc.. https://doi.org/10.1063/1.5075600

Soomro, Afzal Ahmed ; Mokhtar, Ainul Akmar. / Prediction of performance parameters of stratified TES tank using artificial neural network. 6th International Conference on Production, Energy and Reliability 2018: World Engineering Science and Technology Congress, ESTCON 2018. editor / Mohammad Shakir Nasif ; Shaharin Anwar B. Sulaiman ; Srinivasa Rao Pedapati ; Hamdan Ya ; Othman B. Mamat ; William Pao King Soon. American Institute of Physics Inc., 2018. (AIP Conference Proceedings).

@inproceedings{38e07b7dff654f678a63fab0b6470197,

title = "Prediction of performance parameters of stratified TES tank using artificial neural network",

abstract = "Various performance measures have been developed for performance evaluation of the stratified Thermal Energy Storage (TES) tank. There are many methods which have been developed including numerical, analytical to determine the TES tank efficiency using Figure of Merit (FOM) and Thermocline Thickness (WTC) parameters as the performance indicators. However, these methods are more complicated and need more technical data. Therefore, a simple and easy method is required to predict the performance of TES tank. In this paper, a comparative study using results from analytically solved sigmoid dose response function and artificial neural network (ANN) is conducted to determine the parameters.",

author = "Soomro, \{Afzal Ahmed\} and Mokhtar, \{Ainul Akmar\}",

note = "Publisher Copyright: {\textcopyright} 2018 Author(s).; 6th International Conference on Production, Energy and Reliability, ICPER 2018 ; Conference date: 13-08-2018 Through 14-08-2018",

year = "2018",

month = nov,

day = "13",

doi = "10.1063/1.5075600",

language = "English",

series = "AIP Conference Proceedings",

publisher = "American Institute of Physics Inc.",

editor = "Nasif, \{Mohammad Shakir\} and Sulaiman, \{Shaharin Anwar B.\} and Pedapati, \{Srinivasa Rao\} and Hamdan Ya and Mamat, \{Othman B.\} and Soon, \{William Pao King\}",

booktitle = "6th International Conference on Production, Energy and Reliability 2018",

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Soomro, AA & Mokhtar, AA 2018, Prediction of performance parameters of stratified TES tank using artificial neural network. in MS Nasif, SAB Sulaiman, SR Pedapati, H Ya, OB Mamat & WPK Soon (eds), 6th International Conference on Production, Energy and Reliability 2018: World Engineering Science and Technology Congress, ESTCON 2018., 080001, AIP Conference Proceedings, vol. 2035, American Institute of Physics Inc., 6th International Conference on Production, Energy and Reliability, ICPER 2018, Kuala Lumpur, Malaysia, 13/08/18. https://doi.org/10.1063/1.5075600

Prediction of performance parameters of stratified TES tank using artificial neural network. / Soomro, Afzal Ahmed; Mokhtar, Ainul Akmar.
6th International Conference on Production, Energy and Reliability 2018: World Engineering Science and Technology Congress, ESTCON 2018. ed. / Mohammad Shakir Nasif; Shaharin Anwar B. Sulaiman; Srinivasa Rao Pedapati; Hamdan Ya; Othman B. Mamat; William Pao King Soon. American Institute of Physics Inc., 2018. 080001 (AIP Conference Proceedings; Vol. 2035).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Prediction of performance parameters of stratified TES tank using artificial neural network

AU - Soomro, Afzal Ahmed

AU - Mokhtar, Ainul Akmar

PY - 2018/11/13

Y1 - 2018/11/13

N2 - Various performance measures have been developed for performance evaluation of the stratified Thermal Energy Storage (TES) tank. There are many methods which have been developed including numerical, analytical to determine the TES tank efficiency using Figure of Merit (FOM) and Thermocline Thickness (WTC) parameters as the performance indicators. However, these methods are more complicated and need more technical data. Therefore, a simple and easy method is required to predict the performance of TES tank. In this paper, a comparative study using results from analytically solved sigmoid dose response function and artificial neural network (ANN) is conducted to determine the parameters.

AB - Various performance measures have been developed for performance evaluation of the stratified Thermal Energy Storage (TES) tank. There are many methods which have been developed including numerical, analytical to determine the TES tank efficiency using Figure of Merit (FOM) and Thermocline Thickness (WTC) parameters as the performance indicators. However, these methods are more complicated and need more technical data. Therefore, a simple and easy method is required to predict the performance of TES tank. In this paper, a comparative study using results from analytically solved sigmoid dose response function and artificial neural network (ANN) is conducted to determine the parameters.

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U2 - 10.1063/1.5075600

DO - 10.1063/1.5075600

M3 - Conference contribution

AN - SCOPUS:85057317881

T3 - AIP Conference Proceedings

BT - 6th International Conference on Production, Energy and Reliability 2018

A2 - Nasif, Mohammad Shakir

A2 - Sulaiman, Shaharin Anwar B.

A2 - Pedapati, Srinivasa Rao

A2 - Ya, Hamdan

A2 - Mamat, Othman B.

A2 - Soon, William Pao King

PB - American Institute of Physics Inc.

T2 - 6th International Conference on Production, Energy and Reliability, ICPER 2018

Y2 - 13 August 2018 through 14 August 2018

ER -

Soomro AA, Mokhtar AA. Prediction of performance parameters of stratified TES tank using artificial neural network. In Nasif MS, Sulaiman SAB, Pedapati SR, Ya H, Mamat OB, Soon WPK, editors, 6th International Conference on Production, Energy and Reliability 2018: World Engineering Science and Technology Congress, ESTCON 2018. American Institute of Physics Inc. 2018. 080001. (AIP Conference Proceedings). doi: 10.1063/1.5075600

Prediction of performance parameters of stratified TES tank using artificial neural network

Abstract

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