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: Herawan, Safarudin Gazali, Rohhaizan, Abdul Hakim, Putra, Azma, 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/14164/1/Prediction_of_Waste_Heat_Energy_Recovery_Performance_in_a_Naturally_Aspirated_Engine_using_ANN.pdf
http://eprints.utem.edu.my/id/eprint/14164/
http://www.hindawi.com/journals/isrn/
http://dx.doi.org/10.1155/2014/240942
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Institution: Universiti Teknikal Malaysia Melaka
Language: English
id my.utem.eprints.14164
record_format eprints
spelling my.utem.eprints.141642015-05-28T04:36:36Z http://eprints.utem.edu.my/id/eprint/14164/ 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 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 the WHRM. Hindawi Publishing Corporation 2014 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/14164/1/Prediction_of_Waste_Heat_Energy_Recovery_Performance_in_a_Naturally_Aspirated_Engine_using_ANN.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, 2014. pp. 1-6. ISSN 2356-7872 http://www.hindawi.com/journals/isrn/ http://dx.doi.org/10.1155/2014/240942
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
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://eprints.utem.edu.my/id/eprint/14164/1/Prediction_of_Waste_Heat_Energy_Recovery_Performance_in_a_Naturally_Aspirated_Engine_using_ANN.pdf
http://eprints.utem.edu.my/id/eprint/14164/
http://www.hindawi.com/journals/isrn/
http://dx.doi.org/10.1155/2014/240942
_version_ 1665905581608665088

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