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

Safarudin Gazali Herawan | Zendy; Abdul Hakim Rohhaizan | Zendy; Ahmad Faris Ismail | Zendy; Shamsul Anuar Shamsudin | Zendy; Azma Putra | Zendy; M. T. Musthafah | Zendy; Ardika Ridal Awang | Zendy

Open Access

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

Author(s) -

Safarudin Gazali Herawan,

Abdul Hakim Rohhaizan,

Ahmad Faris Ismail,

Shamsul Anuar Shamsudin,

Azma Putra,

M. T. Musthafah,

Ardika Ridal Awang

Publication year - 2016

Publication title -

modelling and simulation in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 20

eISSN - 1687-5591

pISSN - 1687-5605

DOI - 10.1155/2016/5072404

Subject(s) - ignition system , automotive engineering , artificial neural network , spark ignition engine , heat engine , waste heat , engineering , spark (programming language) , turbine , power (physics) , waste heat recovery unit , naturally aspirated engine , mechanism (biology) , mechanical engineering , nuclear engineering , internal combustion engine , computer science , exhaust gas recirculation , heat exchanger , aerospace engineering , thermodynamics , artificial intelligence , philosophy , physics , epistemology , programming language

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

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