Prediction of generated power from steam turbine waste heat recovery mechanism system on naturally aspirated spark ignition engine using artificial neural network

The waste heat from exhaust gases represents a significant amount of thermal energy, which has conventionally been used for combined heating and power applications. This paper proposes a prediction model on the performance of a naturally aspirated spark ignition engine equipped with a waste heat rec...

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Main Authors:	Herawan, Safarudin Gazali, Talib, Kamarulhelmy, Putra, Azma, Ismail, Ahmad Faris, Shamsudin, Shamsul Anuar, Musthafah, Mohd Tahir
Format:	Article
Language:	English English English English
Published:	Springer 2018
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://irep.iium.edu.my/60709/ http://irep.iium.edu.my/60709/ http://irep.iium.edu.my/60709/ http://irep.iium.edu.my/60709/1/Soft%20Computing%202017.pdf http://irep.iium.edu.my/60709/13/60709_Prediction%20of%20generated%20power%20from%20steam%20turbine%20waste%20heat%20recovery%20mechanism%20system%20on%20naturally%20aspirated%20spark%20ignition%20engine%20using%20artificial%20neural%20network_WOS.pdf http://irep.iium.edu.my/60709/19/60709_Prediction%20of%20generated%20power%20from%20steam_MYRA.pdf http://irep.iium.edu.my/60709/20/60709_Prediction%20of%20generated%20power%20from%20steam_SCOPUS.pdf

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spelling	iium-607092019-01-30T07:56:57Z http://irep.iium.edu.my/60709/ Prediction of generated power from steam turbine waste heat recovery mechanism system on naturally aspirated spark ignition engine using artificial neural network Herawan, Safarudin Gazali Talib, Kamarulhelmy Putra, Azma Ismail, Ahmad Faris Shamsudin, Shamsul Anuar Musthafah, Mohd Tahir TJ Mechanical engineering and machinery The waste heat from exhaust gases represents a significant amount of thermal energy, which has conventionally been used for combined heating and power applications. This paper proposes a prediction model on the performance of a naturally aspirated spark ignition engine equipped with a waste heat recovery mechanism (WHRM) using steam turbine mechanism. The simulation method is created using an artificial neural network (ANN) to predict the power produced from this WHRM. The automated neural network was employed to run the simulation, where the ANN analysis used multilayer perceptrons as the network architecture, which is a feed-forward neural network architecture with uni-directional full connections between successive layers and applied Broyden–Fletcher–Goldfarb–Shanno algorithm iterative techniques to train the data. By using ANN, power generated from this WHRM could be predicted with good accuracy of 0.007, 0.011, and 0.016% error on training, test and validation data, respectively. Springer 2018 Article PeerReviewed application/pdf en http://irep.iium.edu.my/60709/1/Soft%20Computing%202017.pdf application/pdf en http://irep.iium.edu.my/60709/13/60709_Prediction%20of%20generated%20power%20from%20steam%20turbine%20waste%20heat%20recovery%20mechanism%20system%20on%20naturally%20aspirated%20spark%20ignition%20engine%20using%20artificial%20neural%20network_WOS.pdf application/pdf en http://irep.iium.edu.my/60709/19/60709_Prediction%20of%20generated%20power%20from%20steam_MYRA.pdf application/pdf en http://irep.iium.edu.my/60709/20/60709_Prediction%20of%20generated%20power%20from%20steam_SCOPUS.pdf Herawan, Safarudin Gazali and Talib, Kamarulhelmy and Putra, Azma and Ismail, Ahmad Faris and Shamsudin, Shamsul Anuar and Musthafah, Mohd Tahir (2018) Prediction of generated power from steam turbine waste heat recovery mechanism system on naturally aspirated spark ignition engine using artificial neural network. Soft Computing, 22 (18). pp. 5955-5964. ISSN 1432-7643 E-ISSN 1433-7479 https://link.springer.com/article/10.1007/s00500-017-2873-3 10.1007/s00500-017-2873-3
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Herawan, Safarudin Gazali Talib, Kamarulhelmy Putra, Azma Ismail, Ahmad Faris Shamsudin, Shamsul Anuar Musthafah, Mohd Tahir Prediction of generated power from steam turbine waste heat recovery mechanism system on naturally aspirated spark ignition engine using artificial neural network
description	The waste heat from exhaust gases represents a significant amount of thermal energy, which has conventionally been used for combined heating and power applications. This paper proposes a prediction model on the performance of a naturally aspirated spark ignition engine equipped with a waste heat recovery mechanism (WHRM) using steam turbine mechanism. The simulation method is created using an artificial neural network (ANN) to predict the power produced from this WHRM. The automated neural network was employed to run the simulation, where the ANN analysis used multilayer perceptrons as the network architecture, which is a feed-forward neural network architecture with uni-directional full connections between successive layers and applied Broyden–Fletcher–Goldfarb–Shanno algorithm iterative techniques to train the data. By using ANN, power generated from this WHRM could be predicted with good accuracy of 0.007, 0.011, and 0.016% error on training, test and validation data, respectively.
format	Article
author	Herawan, Safarudin Gazali Talib, Kamarulhelmy Putra, Azma Ismail, Ahmad Faris Shamsudin, Shamsul Anuar Musthafah, Mohd Tahir
author_facet	Herawan, Safarudin Gazali Talib, Kamarulhelmy Putra, Azma Ismail, Ahmad Faris Shamsudin, Shamsul Anuar Musthafah, Mohd Tahir
author_sort	Herawan, Safarudin Gazali
title	Prediction of generated power from steam turbine waste heat recovery mechanism system on naturally aspirated spark ignition engine using artificial neural network
title_short	Prediction of generated power from steam turbine waste heat recovery mechanism system on naturally aspirated spark ignition engine using artificial neural network
title_full	Prediction of generated power from steam turbine waste heat recovery mechanism system on naturally aspirated spark ignition engine using artificial neural network
title_fullStr	Prediction of generated power from steam turbine waste heat recovery mechanism system on naturally aspirated spark ignition engine using artificial neural network
title_full_unstemmed	Prediction of generated power from steam turbine waste heat recovery mechanism system on naturally aspirated spark ignition engine using artificial neural network
title_sort	prediction of generated power from steam turbine waste heat recovery mechanism system on naturally aspirated spark ignition engine using artificial neural network
publisher	Springer
publishDate	2018
url	http://irep.iium.edu.my/60709/ http://irep.iium.edu.my/60709/ http://irep.iium.edu.my/60709/ http://irep.iium.edu.my/60709/1/Soft%20Computing%202017.pdf http://irep.iium.edu.my/60709/13/60709_Prediction%20of%20generated%20power%20from%20steam%20turbine%20waste%20heat%20recovery%20mechanism%20system%20on%20naturally%20aspirated%20spark%20ignition%20engine%20using%20artificial%20neural%20network_WOS.pdf http://irep.iium.edu.my/60709/19/60709_Prediction%20of%20generated%20power%20from%20steam_MYRA.pdf http://irep.iium.edu.my/60709/20/60709_Prediction%20of%20generated%20power%20from%20steam_SCOPUS.pdf
first_indexed	2023-09-18T21:26:04Z
last_indexed	2023-09-18T21:26:04Z
_version_	1777412199380156416

Prediction of generated power from steam turbine waste heat recovery mechanism system on naturally aspirated spark ignition engine using artificial neural network

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