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Prediction of steam turbine performance as a waste heat recovery mechanism on naturally aspirated spark ignition engine using artificial neural network

Herawan, Safarudin Gazali and Talib, Kamarulhelmy and Shamsudin, Shamsul Anuar and Putra, Azma and Musthafah, Mohd Tahir and Ismail, Ahmad Faris (2017) Prediction of steam turbine performance as a waste heat recovery mechanism on naturally aspirated spark ignition engine using artificial neural network. In: 2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI 2016 ), 23rd-25 November 2016, Dubai, UAE.

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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 a waste heat recovery mechanism (WHRM). 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 power generated from the WHRM is slightly small. The simulation method is created using an artificial neural network (ANN) which can predict accurately the power produced from the WHRM.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 1743/62914
Uncontrolled Keywords: waste heat recovery; organic rankine cycle; exhaust gas; artificial neural network
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User: Prof Dr Ahmad Faris Ismail
Date Deposited: 21 Mar 2018 17:48
Last Modified: 26 Jun 2018 11:20
URI: http://irep.iium.edu.my/id/eprint/62914

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