Prediction of generated power from steam turbine waste heat recovery mechanism system on naturally aspirated spark ignition engine using artificial neural network

• Main Authors: Herawan, Safarudin Gazali, Talib, Kamarulhelmy, Putra, Azma, Ismail, Ahmad Faris, Shamsudin, Shamsul Anuar, Musthafah, Mohd Tahir
• Format: Article
• Language: English; English; English; English
• Published: Springer 2018
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://irep.iium.edu.my/60709/1/Soft%20Computing%202017.pdf; http://irep.iium.edu.my/60709/13/60709_Prediction%20of%20generated%20power%20from%20steam%20turbine%20waste%20heat%20recovery%20mechanism%20system%20on%20naturally%20aspirated%20spark%20ignition%20engine%20using%20artificial%20neural%20network_WOS.pdf; http://irep.iium.edu.my/60709/19/60709_Prediction%20of%20generated%20power%20from%20steam_MYRA.pdf; http://irep.iium.edu.my/60709/20/60709_Prediction%20of%20generated%20power%20from%20steam_SCOPUS.pdf; http://irep.iium.edu.my/60709/; https://link.springer.com/article/10.1007/s00500-017-2873-3
• 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 proposes a prediction model on the performance of a naturally aspirated spark ignition engine equipped with a waste heat rec...