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

• Main Authors: Herawan, Safarudin Gazali, Rohhaizan, Abdul Hakim, Putra, Azma, Ismail, Ahmad Faris
• Format: Article
• Language: English
• Published: Hindawi Publishing Corporation 2014
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utem.edu.my/id/eprint/14164/1/Prediction_of_Waste_Heat_Energy_Recovery_Performance_in_a_Naturally_Aspirated_Engine_using_ANN.pdf; http://eprints.utem.edu.my/id/eprint/14164/; http://www.hindawi.com/journals/isrn/; http://dx.doi.org/10.1155/2014/240942
• Institution: Universiti Teknikal Malaysia Melaka

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)....