LAPSE:2019.0240
Published Article
LAPSE:2019.0240
Comparison of Cooling System Designs for an Exhaust Heat Recovery System Using an Organic Rankine Cycle on a Heavy Duty Truck
Nicolas Stanzel, Thomas Streule, Markus Preißinger, Dieter Brüggemann
February 5, 2019
A complex simulation model of a heavy duty truck, including an Organic Rankine Cycle (ORC) based waste heat recovery system and a vehicle cooling system, was applied to determine the system fuel economy potential in a typical drive cycle. Measures to increase the system performance were investigated and a comparison between two different cooling system designs was derived. The base design, which was realized on a Mercedes-Benz Actros vehicle revealed a fuel efficiency benefit of 2.6%, while a more complicated design would generate 3.1%. Furthermore, fully transient simulation results were performed and are compared to steady state simulation results. It is shown that steady state simulation can produce comparable results if averaged road data are used as boundary conditions.
Keywords
1-D simulation, cooling system, Ethanol, heat recovery, heavy-duty truck, Organic Rankine Cycle (ORC)
Suggested Citation
Stanzel N, Streule T, Preißinger M, Brüggemann D. Comparison of Cooling System Designs for an Exhaust Heat Recovery System Using an Organic Rankine Cycle on a Heavy Duty Truck. (2019). LAPSE:2019.0240
Author Affiliations
Stanzel N: Daimler AG, Group Research & Advanced Engineering Powertrain, 70546 Stuttgart, Germany
Streule T: Daimler AG, Group Research & Advanced Engineering Powertrain, 70546 Stuttgart, Germany
Preißinger M: Chair of Engineering Thermodynamics and Transport Processes (LTTT), Center of Energy Technology (ZET), University of Bayreuth, 95440 Bayreuth, Germany [ORCID]
Brüggemann D: Chair of Engineering Thermodynamics and Transport Processes (LTTT), Center of Energy Technology (ZET), University of Bayreuth, 95440 Bayreuth, Germany
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Journal Name
Energies
Volume
9
Issue
11
Article Number
E928
Year
2016
Publication Date
2016-11-09
Published Version
ISSN
1996-1073
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Original Submission
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PII: en9110928, Publication Type: Journal Article
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LAPSE:2019.0240
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doi:10.3390/en9110928
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Feb 5, 2019
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CC BY 4.0
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Calvin Tsay
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