Prediction of waste heat energy recovery performance in a naturally aspirated 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 explores the performance of a naturally aspirated spark ignition engine equipped with waste heat recovery mechanism (WHRM)....

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Main Authors:	Herawan, Safarudin Gazali, Rohhaizan, Abdul Hakim, Putra, Azma, Ismail, Ahmad Faris
Format:	Article
Language:	English English
Published:	Hindawi Publishing Corporation 2014
Subjects:	TA349 Mechanics of engineering. Applied mechanics
Online Access:	http://irep.iium.edu.my/36778/ http://irep.iium.edu.my/36778/ http://irep.iium.edu.my/36778/ http://irep.iium.edu.my/36778/1/36778_Prediction%20of%20waste%20heat%20energy%20recovery%20performance.pdf http://irep.iium.edu.my/36778/2/36778_Prediction%20of%20waste%20heat%20energy%20recovery%20performance_SCOPUS.pdf

id	iium-36778
recordtype	eprints
spelling	iium-367782017-09-19T02:36:39Z http://irep.iium.edu.my/36778/ Prediction of waste heat energy recovery performance in a naturally aspirated engine using artificial neural network Herawan, Safarudin Gazali Rohhaizan, Abdul Hakim Putra, Azma Ismail, Ahmad Faris TA349 Mechanics of engineering. Applied mechanics 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 explores the performance of a naturally aspirated spark ignition engine equipped with waste heat recovery mechanism (WHRM). The experimental and simulation test results suggest that the concept is thermodynamically feasible and could significantly enhance the system performance depending on the load applied to the engine. The simulation method is created using an artificial neural network (ANN) which predicts the power produced from the WHRM. Hindawi Publishing Corporation 2014 Article PeerReviewed application/pdf en http://irep.iium.edu.my/36778/1/36778_Prediction%20of%20waste%20heat%20energy%20recovery%20performance.pdf application/pdf en http://irep.iium.edu.my/36778/2/36778_Prediction%20of%20waste%20heat%20energy%20recovery%20performance_SCOPUS.pdf Herawan, Safarudin Gazali and Rohhaizan, Abdul Hakim and Putra, Azma and Ismail, Ahmad Faris (2014) Prediction of waste heat energy recovery performance in a naturally aspirated engine using artificial neural network. ISRN Mechanical Engineering. 240942-1-6. E-ISSN 2090-5130 https://www.hindawi.com/journals/isrn/2014/240942/ 10.1155/2014/240942
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TA349 Mechanics of engineering. Applied mechanics
spellingShingle	TA349 Mechanics of engineering. Applied mechanics Herawan, Safarudin Gazali Rohhaizan, Abdul Hakim Putra, Azma Ismail, Ahmad Faris Prediction of waste heat energy recovery performance in a naturally aspirated 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 explores the performance of a naturally aspirated spark ignition engine equipped with waste heat recovery mechanism (WHRM). The experimental and simulation test results suggest that the concept is thermodynamically feasible and could significantly enhance the system performance depending on the load applied to the engine. The simulation method is created using an artificial neural network (ANN) which predicts the power produced from the WHRM.
format	Article
author	Herawan, Safarudin Gazali Rohhaizan, Abdul Hakim Putra, Azma Ismail, Ahmad Faris
author_facet	Herawan, Safarudin Gazali Rohhaizan, Abdul Hakim Putra, Azma Ismail, Ahmad Faris
author_sort	Herawan, Safarudin Gazali
title	Prediction of waste heat energy recovery performance in a naturally aspirated engine using artificial neural network
title_short	Prediction of waste heat energy recovery performance in a naturally aspirated engine using artificial neural network
title_full	Prediction of waste heat energy recovery performance in a naturally aspirated engine using artificial neural network
title_fullStr	Prediction of waste heat energy recovery performance in a naturally aspirated engine using artificial neural network
title_full_unstemmed	Prediction of waste heat energy recovery performance in a naturally aspirated engine using artificial neural network
title_sort	prediction of waste heat energy recovery performance in a naturally aspirated engine using artificial neural network
publisher	Hindawi Publishing Corporation
publishDate	2014
url	http://irep.iium.edu.my/36778/ http://irep.iium.edu.my/36778/ http://irep.iium.edu.my/36778/ http://irep.iium.edu.my/36778/1/36778_Prediction%20of%20waste%20heat%20energy%20recovery%20performance.pdf http://irep.iium.edu.my/36778/2/36778_Prediction%20of%20waste%20heat%20energy%20recovery%20performance_SCOPUS.pdf
first_indexed	2023-09-18T20:52:43Z
last_indexed	2023-09-18T20:52:43Z
_version_	1777410101783560192

Prediction of waste heat energy recovery performance in a naturally aspirated engine using artificial neural network

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