Nonlinear modeling and simulation of waste energy harvesting system for hybrid engine: fuzzy logic approach
Fuel consumption could be cut significantly if waste heat energy of internal combustion engine (ICE) is harvested. Currently, ICEs lose their 42% of energy to exhaust and 28% of energy to the coolant. Several methods for waste thermal energy recovery from ICE have been studied by using supercharg...
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American Institute of Physics
2013
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| Online Access: | http://irep.iium.edu.my/30331/ http://irep.iium.edu.my/30331/ http://irep.iium.edu.my/30331/ http://irep.iium.edu.my/30331/1/JRSE-Nonlinear_-WEHS-2013-Ataur.pdf |
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iium-303312015-07-31T00:54:59Z http://irep.iium.edu.my/30331/ Nonlinear modeling and simulation of waste energy harvesting system for hybrid engine: fuzzy logic approach Rahman, Mohammed Ataur Abdul Razak, Fadhilah Hawlader, Mohammad Nurul Alam Rashid, Muhammad Mahbubur T175 Industrial research. Research and development Fuel consumption could be cut significantly if waste heat energy of internal combustion engine (ICE) is harvested. Currently, ICEs lose their 42% of energy to exhaust and 28% of energy to the coolant. Several methods for waste thermal energy recovery from ICE have been studied by using supercharger or turbocharger or combined. This study presents the modeling and simulation of coolant based waste energy harvesting system (weHS). The supercharger compressed air gains heat during passing through the inner duct of the weHS while the coolant releases heat. The heated supercharged air is forced to the engine cylinders. The energy harvesting system performance is simulated by varying the supercharged air mass flow rate by keeping constant the coolant mass flow rate and vice versa. The waste energy recovery from the coolant by using weHS is simulated for the coolant flow rate of 2.0 kg/s, 2.5 kg/s, and 3.0 kg/s. The simulations result shows that the waste energies that could be recovered by using weHS are 30.9% for 2.0 kg/s, 32.57% for 2.5 kg/s, and 35% for 3.0 kg/s of the energy that engine lost to the coolant. The efficiency of the engine is expected to increase significantly if weHS is equipped with the engine. The optimum mass flow rate of coolant and mass flow rate of supercharged air are identified by using the fuzzy logic model for the maximum supercharged air temperature of 120 �C. American Institute of Physics 2013-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/30331/1/JRSE-Nonlinear_-WEHS-2013-Ataur.pdf Rahman, Mohammed Ataur and Abdul Razak, Fadhilah and Hawlader, Mohammad Nurul Alam and Rashid, Muhammad Mahbubur (2013) Nonlinear modeling and simulation of waste energy harvesting system for hybrid engine: fuzzy logic approach. Journal of Renewable and Sustainable Energy Editorial Office, 5. pp. 1-13. ISSN 1941-7012 http://jrse.aip.org/ doi: 10.1063/1.4802946 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
T175 Industrial research. Research and development |
| spellingShingle |
T175 Industrial research. Research and development Rahman, Mohammed Ataur Abdul Razak, Fadhilah Hawlader, Mohammad Nurul Alam Rashid, Muhammad Mahbubur Nonlinear modeling and simulation of waste energy harvesting system for hybrid engine: fuzzy logic approach |
| description |
Fuel consumption could be cut significantly if waste heat energy of internal
combustion engine (ICE) is harvested. Currently, ICEs lose their 42% of energy to
exhaust and 28% of energy to the coolant. Several methods for waste thermal
energy recovery from ICE have been studied by using supercharger or turbocharger
or combined. This study presents the modeling and simulation of coolant based
waste energy harvesting system (weHS). The supercharger compressed air gains
heat during passing through the inner duct of the weHS while the coolant releases
heat. The heated supercharged air is forced to the engine cylinders. The energy
harvesting system performance is simulated by varying the supercharged air mass
flow rate by keeping constant the coolant mass flow rate and vice versa. The waste
energy recovery from the coolant by using weHS is simulated for the coolant flow
rate of 2.0 kg/s, 2.5 kg/s, and 3.0 kg/s. The simulations result shows that the waste
energies that could be recovered by using weHS are 30.9% for 2.0 kg/s, 32.57% for
2.5 kg/s, and 35% for 3.0 kg/s of the energy that engine lost to the coolant. The
efficiency of the engine is expected to increase significantly if weHS is equipped
with the engine. The optimum mass flow rate of coolant and mass flow rate of
supercharged air are identified by using the fuzzy logic model for the maximum
supercharged air temperature of 120 �C. |
| format |
Article |
| author |
Rahman, Mohammed Ataur Abdul Razak, Fadhilah Hawlader, Mohammad Nurul Alam Rashid, Muhammad Mahbubur |
| author_facet |
Rahman, Mohammed Ataur Abdul Razak, Fadhilah Hawlader, Mohammad Nurul Alam Rashid, Muhammad Mahbubur |
| author_sort |
Rahman, Mohammed Ataur |
| title |
Nonlinear modeling and simulation of waste energy
harvesting system for hybrid engine: fuzzy
logic approach |
| title_short |
Nonlinear modeling and simulation of waste energy
harvesting system for hybrid engine: fuzzy
logic approach |
| title_full |
Nonlinear modeling and simulation of waste energy
harvesting system for hybrid engine: fuzzy
logic approach |
| title_fullStr |
Nonlinear modeling and simulation of waste energy
harvesting system for hybrid engine: fuzzy
logic approach |
| title_full_unstemmed |
Nonlinear modeling and simulation of waste energy
harvesting system for hybrid engine: fuzzy
logic approach |
| title_sort |
nonlinear modeling and simulation of waste energy
harvesting system for hybrid engine: fuzzy
logic approach |
| publisher |
American Institute of Physics |
| publishDate |
2013 |
| url |
http://irep.iium.edu.my/30331/ http://irep.iium.edu.my/30331/ http://irep.iium.edu.my/30331/ http://irep.iium.edu.my/30331/1/JRSE-Nonlinear_-WEHS-2013-Ataur.pdf |
| first_indexed |
2023-09-18T20:44:29Z |
| last_indexed |
2023-09-18T20:44:29Z |
| _version_ |
1777409583061401600 |