Optimum waste heat recovery from diesel engines

Thermo-economic assessment of nanofluid-based systems using a robust evolutionary approach

Moslem Yousefi, Danial Hooshyar, Joong Hoon Kim, Marc A. Rosen, Heui Seok Lim

Research output: Contribution to journalArticle

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.

Fingerprint

Waste heat utilization
Diesel engines
Heat exchangers
Economics
Heat transfer
Heat engines
Exhaust systems (engine)
Exhaust gases
Greenhouse gases
Coolants
Environmental impact
Large scale systems
Volume fraction
Flow rate
Nanoparticles
Engines
Recovery
Fluids
Costs
Water

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

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title = "Optimum waste heat recovery from diesel engines: Thermo-economic assessment of nanofluid-based systems using a robust evolutionary approach",
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.",
keywords = "AlO/water nanofluid, Diesel exhaust heat recovery, greenhouse gas savings, modified imperialist competitive algorithm, thermoeconomic assessment",
author = "Moslem Yousefi and Danial Hooshyar and Kim, {Joong Hoon} and Rosen, {Marc A.} and Lim, {Heui Seok}",
year = "2017",
month = "1",
day = "1",
doi = "10.1177/0954408917743373",
language = "English",
journal = "Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering",
issn = "0954-4089",
publisher = "SAGE Publications Inc.",

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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

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