Prediction of waste heat energy recovery performance in a naturally aspirated engine using artificial neural network

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	1743/36778
Uncontrolled Keywords:	waste heat energy, artificial neural network
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA349 Mechanics of engineering. Applied mechanics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User:	Prof Dr Ahmad Faris Ismail
Date Deposited:	30 May 2014 09:12
Last Modified:	19 Sep 2017 10:36
URI:	http://irep.iium.edu.my/id/eprint/36778

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