Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network

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: Putra, Azma, Herawan, Safarudin Gazali, Rohhaizan, Abdul Hakim, Ismail, Ahmad Faris
Format: Article
Language:English
Published: Hindawi Publishing Corporation 2014
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utem.edu.my/id/eprint/13579/1/ANN-prediction_ISRN2014.pdf
http://eprints.utem.edu.my/id/eprint/13579/
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Institution: Universiti Teknikal Malaysia Melaka
Language: English
id my.utem.eprints.13579
record_format eprints
spelling my.utem.eprints.135792015-05-28T04:32:44Z http://eprints.utem.edu.my/id/eprint/13579/ Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network Putra, Azma Herawan, Safarudin Gazali Rohhaizan, Abdul Hakim Ismail, Ahmad Faris 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 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 theWHRM. Hindawi Publishing Corporation 2014 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/13579/1/ANN-prediction_ISRN2014.pdf Putra, Azma and Herawan, Safarudin Gazali and Rohhaizan, Abdul Hakim and Ismail, Ahmad Faris (2014) Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network. ISRN MECHANICAL ENGINEERING. pp. 1-6. ISSN 2090-5130
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Putra, Azma
Herawan, Safarudin Gazali
Rohhaizan, Abdul Hakim
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 theWHRM.
format Article
author Putra, Azma
Herawan, Safarudin Gazali
Rohhaizan, Abdul Hakim
Ismail, Ahmad Faris
author_facet Putra, Azma
Herawan, Safarudin Gazali
Rohhaizan, Abdul Hakim
Ismail, Ahmad Faris
author_sort Putra, Azma
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://eprints.utem.edu.my/id/eprint/13579/1/ANN-prediction_ISRN2014.pdf
http://eprints.utem.edu.my/id/eprint/13579/
_version_ 1665905551366684672

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