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

• Main Authors: Herawan, Safarudin Gazali, Talib, Kamarulhelmy, Shamsudin, Shamsul Anuar, Putra, Azma, Musthafah, Mohd Tahir, Ismail, Ahmad Faris
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2017
• Subjects: T Technology (General)
• Online Access: http://irep.iium.edu.my/62914/3/62914%20Prediction%20of%20Steam%20Turbine.pdf; http://irep.iium.edu.my/62914/2/62914%20Prediction%20of%20Steam%20Turbine%20Performance%20as%20a%20Waste%20Heat%20SCOPUS.pdf; http://irep.iium.edu.my/62914/; http://ieeexplore.ieee.org/document/8057460/
• Institution: Universiti Islam Antarabangsa Malaysia

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 (...