Prediction of steam turbine performance as a waste heat recovery mechanism on naturally aspirated spark ignition engine using artificial neural network
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 (...
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Main Authors: | , , , , , |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
IEEE
2017
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Subjects: | |
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/ |
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Summary: | 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 (WHRM). 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
power generated from the WHRM is slightly small. The
simulation method is created using an artificial neural network
(ANN) which can predict accurately the power produced from
the WHRM. |
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