Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network

• Main Authors: Putra, Azma, Herawan, Safarudin Gazali, Rohhaizan, Abdul Hakim, 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/13579/1/ANN-prediction_ISRN2014.pdf; http://eprints.utem.edu.my/id/eprint/13579/
• 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)...