Prediction on Power Produced from Power Turbine as a Waste Heat Recovery Mechanism on Naturally Aspirated Spark Ignition Engine Using Artificial Neural Network

Prediction on Power Produced from Power Turbine as a Waste Heat Recovery Mechanism 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 explores the performance of a naturally aspirated spark ignition engine equipped with waste heat recovery mechanism (WHRM) i...

Full description

Bibliographic Details
Main Authors: Safarudin Gazali Herawan, Abdul Hakim Rohhaizan, Ahmad Faris Ismail, Shamsul Anuar Shamsudin, Azma Putra, Mohd Tahir Musthafah, Ardika Ridal Awang
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Modelling and Simulation in Engineering
Online Access:http://dx.doi.org/10.1155/2016/5072404
id doaj-bf752c454f9e481fb14154a31390357a
record_format Article
spelling doaj-bf752c454f9e481fb14154a31390357a2020-11-24T22:26:10ZengHindawi LimitedModelling and Simulation in Engineering1687-55911687-56052016-01-01201610.1155/2016/50724045072404Prediction on Power Produced from Power Turbine as a Waste Heat Recovery Mechanism on Naturally Aspirated Spark Ignition Engine Using Artificial Neural NetworkSafarudin Gazali Herawan0Abdul Hakim Rohhaizan1Ahmad Faris Ismail2Shamsul Anuar Shamsudin3Azma Putra4Mohd Tahir Musthafah5Ardika Ridal Awang6Centre for Advanced Research on Energy, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Malacca, MalaysiaCentre for Advanced Research on Energy, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Malacca, MalaysiaDepartment of Mechanical Engineering, Faculty of Engineering, International Islamic University Malaysia (IIUM), P.O. Box 10, 50728 Kuala Lumpur, MalaysiaCentre for Advanced Research on Energy, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Malacca, MalaysiaCentre for Advanced Research on Energy, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Malacca, MalaysiaCentre for Advanced Research on Energy, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Malacca, MalaysiaCentre for Advanced Research on Energy, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Malacca, MalaysiaThe 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) in a sedan car. The amount of heat energy from exhaust is presented and the experimental test results suggest that the concept is thermodynamically feasible and could significantly enhance the system performance depending on the load applied to the engine. However, the existence of WHRM affects the performance of engine by slightly reducing the power. The simulation method is created using an artificial neural network (ANN) which predicts the power produced from the WHRM.http://dx.doi.org/10.1155/2016/5072404
collection DOAJ
language English
format Article
sources DOAJ
author Safarudin Gazali Herawan
Abdul Hakim Rohhaizan
Ahmad Faris Ismail
Shamsul Anuar Shamsudin
Azma Putra
Mohd Tahir Musthafah
Ardika Ridal Awang
spellingShingle Safarudin Gazali Herawan
Abdul Hakim Rohhaizan
Ahmad Faris Ismail
Shamsul Anuar Shamsudin
Azma Putra
Mohd Tahir Musthafah
Ardika Ridal Awang
Prediction on Power Produced from Power Turbine as a Waste Heat Recovery Mechanism on Naturally Aspirated Spark Ignition Engine Using Artificial Neural Network
Modelling and Simulation in Engineering
author_facet Safarudin Gazali Herawan
Abdul Hakim Rohhaizan
Ahmad Faris Ismail
Shamsul Anuar Shamsudin
Azma Putra
Mohd Tahir Musthafah
Ardika Ridal Awang
author_sort Safarudin Gazali Herawan
title Prediction on Power Produced from Power Turbine as a Waste Heat Recovery Mechanism on Naturally Aspirated Spark Ignition Engine Using Artificial Neural Network
title_short Prediction on Power Produced from Power Turbine as a Waste Heat Recovery Mechanism on Naturally Aspirated Spark Ignition Engine Using Artificial Neural Network
title_full Prediction on Power Produced from Power Turbine as a Waste Heat Recovery Mechanism on Naturally Aspirated Spark Ignition Engine Using Artificial Neural Network
title_fullStr Prediction on Power Produced from Power Turbine as a Waste Heat Recovery Mechanism on Naturally Aspirated Spark Ignition Engine Using Artificial Neural Network
title_full_unstemmed Prediction on Power Produced from Power Turbine as a Waste Heat Recovery Mechanism on Naturally Aspirated Spark Ignition Engine Using Artificial Neural Network
title_sort prediction on power produced from power turbine as a waste heat recovery mechanism on naturally aspirated spark ignition engine using artificial neural network
publisher Hindawi Limited
series Modelling and Simulation in Engineering
issn 1687-5591
1687-5605
publishDate 2016-01-01
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) in a sedan car. The amount of heat energy from exhaust is presented and the experimental test results suggest that the concept is thermodynamically feasible and could significantly enhance the system performance depending on the load applied to the engine. However, the existence of WHRM affects the performance of engine by slightly reducing the power. The simulation method is created using an artificial neural network (ANN) which predicts the power produced from the WHRM.
url http://dx.doi.org/10.1155/2016/5072404
work_keys_str_mv AT safarudingazaliherawan predictiononpowerproducedfrompowerturbineasawasteheatrecoverymechanismonnaturallyaspiratedsparkignitionengineusingartificialneuralnetwork
AT abdulhakimrohhaizan predictiononpowerproducedfrompowerturbineasawasteheatrecoverymechanismonnaturallyaspiratedsparkignitionengineusingartificialneuralnetwork
AT ahmadfarisismail predictiononpowerproducedfrompowerturbineasawasteheatrecoverymechanismonnaturallyaspiratedsparkignitionengineusingartificialneuralnetwork
AT shamsulanuarshamsudin predictiononpowerproducedfrompowerturbineasawasteheatrecoverymechanismonnaturallyaspiratedsparkignitionengineusingartificialneuralnetwork
AT azmaputra predictiononpowerproducedfrompowerturbineasawasteheatrecoverymechanismonnaturallyaspiratedsparkignitionengineusingartificialneuralnetwork
AT mohdtahirmusthafah predictiononpowerproducedfrompowerturbineasawasteheatrecoverymechanismonnaturallyaspiratedsparkignitionengineusingartificialneuralnetwork
AT ardikaridalawang predictiononpowerproducedfrompowerturbineasawasteheatrecoverymechanismonnaturallyaspiratedsparkignitionengineusingartificialneuralnetwork
_version_ 1725754335597428736

Similar Items