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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Main Authors: Rahman, Mohammed Ataur, Abdul Razak, Fadhilah, Hawlader, Mohammad Nurul Alam, Rashid, Muhammad Mahbubur
Format: Article
Language:English
Published: American Institute of Physics 2013
Subjects:
Online Access:http://irep.iium.edu.my/30331/1/JRSE-Nonlinear_-WEHS-2013-Ataur.pdf
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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
collection IIUM
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.
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spelling oai:generic.eprints.org: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
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
title 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_short 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
topic T175 Industrial research. Research and development
url http://irep.iium.edu.my/30331/1/JRSE-Nonlinear_-WEHS-2013-Ataur.pdf
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