This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Optimization of an Automotive Cooling System Based on Exergy Analysis
Technical Paper
2004-01-3541
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
In this study, an automotive cooling system of the engine was analyzed using an exergy-based approach. The goal was to minimize the exergy destroyed by reducing the entropy generated and by minimizing the parasitic power loss. By running a two-objective optimization using a genetic algorithm within a certain range of water flow rate, a series of Pareto curves were obtained. At each speed there exists an optimal water flow rate that corresponds to the minimum consumed power and is close to a minimum in exergy destroyed. We show how an exergy method can yield operating conditions and design parameter values to reduce parasitic power losses.
Recommended Content
Topic
Citation
Li, H. and Figliola, R., "Optimization of an Automotive Cooling System Based on Exergy Analysis," SAE Technical Paper 2004-01-3541, 2004, https://doi.org/10.4271/2004-01-3541.Also In
References
- Bejan A. 1982 Entropy Generation Through Heat and Fluid Flow Wiley-Interscience New York
- Bejan A. 1996 Entropy Generation Minimization: The Method of Thermodynamic Optimization of Finite-Size Systems and Finite-Time Processes CRC Press New York
- Roth, B.A Mavris D. A Generalized Model for Vehicle Thermodynamic Loss Management and Technology Concept Evaluation AIAA Paper No. 2000-01-5562
- Kays, W. London, A. 1984 Compact Heat Exchangers 3rd McGraw-Hill Book Company New York
- Plint, M. Martyr A.J. 1999 Engine Testing theory and practice 2nd Butterworth-Heinemann Woburn
- Hucho, Wolf-Heinrich 1987 Aerodynamics of Road Vehicles, From Fluid Mechanics to Vehicle Engineering 4th SAE Warrendale, Pennsylvania 198 199
- Law, 1998 Effect of Random Wind Magnitude and Direction on Determination of Automobile Resistance Using Coastdown Testing, Technical Report Mechanical Engineering Department, Clemson University
- Deb, K. 2001 Multi-objective Optimization Using Evolutionary Algorithms Chichester, Wiley
- ASME 1983 Steam Table 5th New York
- Stewart Components Inc 2000 Company Document
- Tipton, R. Figliola, R.S. Li, H. 2003 Exergy Based Design Methodology for Integrated Aircraft Systems, AIAA J Aircraft
- Li, H. Figliola, R.S. 2004 Exergy Based Design Methodology for Airfoil Shape Optimization AIAA MDAO Conference Albany, NY