Abstract
Nearly 30% of the input energy to a diesel engine is wasted through the exhaust gas; thus, considerable attention has been directed toward developing efficient heat recovery systems for these engines. Given the demonstrated ability of nanofluids to boost the heat transfer rate of heat exchangers, these heat transfer fluids merit consideration for use in diesel exhaust heat recovery systems. In this study, the effects of employing nanofluids on the optimum design of these systems are investigated. An existing heat diesel engine exhaust heat recovery system is modeled to work with Al2O3/water and a modified imperialist competitive algorithm is employed for the optimization. Seven variables consisting of five heat exchanger geometric characteristics together with nanoparticle volume fraction and coolant mass flow rate are considered as design variables. The heat exchanger cost and charging rate of the storage tank are optimization objectives, while the greenhouse gas savings of the heat recovery system are assessed for measuring the environmental impact of the energy recovery. The results indicate that the proposed approach can overcome the challenge of finding the near-optimal design of this complex system and using nanofluids enhances the performance of the heat recovery heat exchanger.
| Original language | English |
|---|---|
| Journal | Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering |
| DOIs | |
| Publication status | Accepted/In press - 2017 Jan 1 |
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Keywords
- AlO/water nanofluid
- Diesel exhaust heat recovery
- greenhouse gas savings
- modified imperialist competitive algorithm
- thermoeconomic assessment
ASJC Scopus subject areas
- Mechanical Engineering
- Industrial and Manufacturing Engineering
Cite this
Optimum waste heat recovery from diesel engines : Thermo-economic assessment of nanofluid-based systems using a robust evolutionary approach. / Yousefi, Moslem; Hooshyar, Danial; Kim, Joong Hoon; Rosen, Marc A.; Lim, Heui Seok.
In: Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 01.01.2017.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Optimum waste heat recovery from diesel engines
T2 - Thermo-economic assessment of nanofluid-based systems using a robust evolutionary approach
AU - Yousefi, Moslem
AU - Hooshyar, Danial
AU - Kim, Joong Hoon
AU - Rosen, Marc A.
AU - Lim, Heui Seok
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Nearly 30% of the input energy to a diesel engine is wasted through the exhaust gas; thus, considerable attention has been directed toward developing efficient heat recovery systems for these engines. Given the demonstrated ability of nanofluids to boost the heat transfer rate of heat exchangers, these heat transfer fluids merit consideration for use in diesel exhaust heat recovery systems. In this study, the effects of employing nanofluids on the optimum design of these systems are investigated. An existing heat diesel engine exhaust heat recovery system is modeled to work with Al2O3/water and a modified imperialist competitive algorithm is employed for the optimization. Seven variables consisting of five heat exchanger geometric characteristics together with nanoparticle volume fraction and coolant mass flow rate are considered as design variables. The heat exchanger cost and charging rate of the storage tank are optimization objectives, while the greenhouse gas savings of the heat recovery system are assessed for measuring the environmental impact of the energy recovery. The results indicate that the proposed approach can overcome the challenge of finding the near-optimal design of this complex system and using nanofluids enhances the performance of the heat recovery heat exchanger.
AB - Nearly 30% of the input energy to a diesel engine is wasted through the exhaust gas; thus, considerable attention has been directed toward developing efficient heat recovery systems for these engines. Given the demonstrated ability of nanofluids to boost the heat transfer rate of heat exchangers, these heat transfer fluids merit consideration for use in diesel exhaust heat recovery systems. In this study, the effects of employing nanofluids on the optimum design of these systems are investigated. An existing heat diesel engine exhaust heat recovery system is modeled to work with Al2O3/water and a modified imperialist competitive algorithm is employed for the optimization. Seven variables consisting of five heat exchanger geometric characteristics together with nanoparticle volume fraction and coolant mass flow rate are considered as design variables. The heat exchanger cost and charging rate of the storage tank are optimization objectives, while the greenhouse gas savings of the heat recovery system are assessed for measuring the environmental impact of the energy recovery. The results indicate that the proposed approach can overcome the challenge of finding the near-optimal design of this complex system and using nanofluids enhances the performance of the heat recovery heat exchanger.
KW - AlO/water nanofluid
KW - Diesel exhaust heat recovery
KW - greenhouse gas savings
KW - modified imperialist competitive algorithm
KW - thermoeconomic assessment
UR - http://www.scopus.com/inward/record.url?scp=85042234563&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85042234563&partnerID=8YFLogxK
U2 - 10.1177/0954408917743373
DO - 10.1177/0954408917743373
M3 - Article
JO - Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
JF - Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
SN - 0954-4089
ER -