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:
Online Access: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
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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
building IIUM Repository
collection Online Access
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.
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format Article
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institution International Islamic University Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-14T15:47:15Z
publishDate 2014
publisher Hindawi Publishing Corporation
recordtype eprints
repository_type Digital Repository
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
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
title 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_short 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
topic TA349 Mechanics of engineering. Applied mechanics
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