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, 2014. pp. 1-6. ISSN 2356-7872

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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
Uncontrolled Keywords:	waste heat, thermal energy, spark ignition engine waste heat recovery mechanism (WHRM), artificial neural network (ANN)
Subjects:	T Technology > TJ Mechanical engineering and machinery
Divisions:	Faculty of Mechanical Engineering > Department of Thermal Fluids
Depositing User:	Mr Safarudin Gazali Herawan
Date Deposited:	28 Jan 2015 00:49
Last Modified:	28 May 2015 04:36
URI:	http://eprints.utem.edu.my/id/eprint/14164
Statistic Details:	View Download Statistic

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