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

Putra, Azma and Safarudin Gazali , Herawan and Abdul Hakim, Rohhaizan and Ahmad Faris , Ismail (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 2090-5130

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Abstract

he waste heat from exhaust gases represents a signiicant amount of thermal energy, which has conventionally been used for combined heating and power applications. his paper explores the performance of a naturally aspirated spark ignition engine equipped with waste heat recovery mechanism (WHRM).he experimental and simulation test results suggest that the concept is thermodynamically feasible and could signiicantly enhance the system performance depending on the load applied to the engine. he simulation method is created using an artiicial neural network (ANN) which predicts the power produced from theWHRM.

Item Type: Article
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Engineering Technology > Department of Mechanical Engineering Technology
Depositing User: Dr Azma Putra
Date Deposited: 14 May 2014 01:57
Last Modified: 28 May 2015 04:22
URI: http://eprints.utem.edu.my/id/eprint/12067

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