Prediction on Power Produced from Power Turbine as a Waste Heat Recovery Mechanism on Naturally Aspirated Spark Ignition Engine Using Artificial Neural Network
| Autor: | Azma Putra, Ahmad Faris Ismail, M. T. Musthafah, Ardika Ridal Awang, Shamsul Anuar Shamsudin, Abdul Hakim Rohhaizan, Safarudin Gazali Herawan |
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| Rok vydání: | 2016 |
| Předmět: |
Engineering
Stirling engine Article Subject business.industry Combined cycle 020209 energy General Engineering Naturally aspirated engine 02 engineering and technology lcsh:QA75.5-76.95 Automotive engineering Computer Science Applications Waste heat recovery unit law.invention Internal combustion engine law Modeling and Simulation Spark-ignition engine Waste heat 0202 electrical engineering electronic engineering information engineering lcsh:Electronic computers. Computer science Exhaust gas recirculation business |
| Zdroj: | Modelling and Simulation in Engineering, Vol 2016 (2016) |
| ISSN: | 1687-5605 1687-5591 |
| DOI: | 10.1155/2016/5072404 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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