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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| Format: | Conference or Workshop Item |
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IEEE
2017
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| Online Access: | http://irep.iium.edu.my/62914/ http://irep.iium.edu.my/62914/ http://irep.iium.edu.my/62914/ 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 |
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iium-629142018-06-26T03:20:57Z http://irep.iium.edu.my/62914/ Prediction of steam turbine performance as a waste heat recovery mechanism on naturally aspirated spark ignition engine using artificial neural network Herawan, Safarudin Gazali Talib, Kamarulhelmy Shamsudin, Shamsul Anuar Putra, Azma Musthafah, Mohd Tahir Ismail, Ahmad Faris T Technology (General) 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. IEEE 2017-10-05 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/62914/3/62914%20Prediction%20of%20Steam%20Turbine.pdf application/pdf en http://irep.iium.edu.my/62914/2/62914%20Prediction%20of%20Steam%20Turbine%20Performance%20as%20a%20Waste%20Heat%20SCOPUS.pdf Herawan, Safarudin Gazali and Talib, Kamarulhelmy and Shamsudin, Shamsul Anuar and Putra, Azma and Musthafah, Mohd Tahir and Ismail, Ahmad Faris (2017) Prediction of steam turbine performance as a waste heat recovery mechanism on naturally aspirated spark ignition engine using artificial neural network. In: 2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI 2016 ), 23rd-25 November 2016, Dubai, UAE. http://ieeexplore.ieee.org/document/8057460/ 10.1109/ISCMI.2016.22 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) Herawan, Safarudin Gazali Talib, Kamarulhelmy Shamsudin, Shamsul Anuar Putra, Azma Musthafah, Mohd Tahir Ismail, Ahmad Faris Prediction of steam turbine performance as a waste heat recovery mechanism on naturally aspirated spark ignition engine using artificial neural network |
| description |
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. |
| format |
Conference or Workshop Item |
| author |
Herawan, Safarudin Gazali Talib, Kamarulhelmy Shamsudin, Shamsul Anuar Putra, Azma Musthafah, Mohd Tahir Ismail, Ahmad Faris |
| author_facet |
Herawan, Safarudin Gazali Talib, Kamarulhelmy Shamsudin, Shamsul Anuar Putra, Azma Musthafah, Mohd Tahir Ismail, Ahmad Faris |
| author_sort |
Herawan, Safarudin Gazali |
| title |
Prediction of steam turbine performance as a waste heat recovery mechanism on
naturally aspirated spark ignition engine using artificial neural network |
| title_short |
Prediction of steam turbine performance as a waste heat recovery mechanism on
naturally aspirated spark ignition engine using artificial neural network |
| title_full |
Prediction of steam turbine performance as a waste heat recovery mechanism on
naturally aspirated spark ignition engine using artificial neural network |
| title_fullStr |
Prediction of steam turbine performance as a waste heat recovery mechanism on
naturally aspirated spark ignition engine using artificial neural network |
| title_full_unstemmed |
Prediction of steam turbine performance as a waste heat recovery mechanism on
naturally aspirated spark ignition engine using artificial neural network |
| title_sort |
prediction of steam turbine performance as a waste heat recovery mechanism on
naturally aspirated spark ignition engine using artificial neural network |
| publisher |
IEEE |
| publishDate |
2017 |
| url |
http://irep.iium.edu.my/62914/ http://irep.iium.edu.my/62914/ http://irep.iium.edu.my/62914/ 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 |
| first_indexed |
2023-09-18T21:29:09Z |
| last_indexed |
2023-09-18T21:29:09Z |
| _version_ |
1777412393720086528 |