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Performance evaluation of an irreversible Miller cycle comparing FTT (finite-time thermodynamics) analysis and ANN (artificial neural network) prediction
- Source :
- Energy. 94:100-109
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- In this paper, the first and second-laws efficiencies are applied to performance analysis of an irreversible Miller cycle. In the irreversible cycle, the linear relation between the specific heat of the working fluid and its temperature, the internal irreversibility described using the compression and expansion efficiencies, the friction loss computed according to the mean velocity of the piston and the heat-transfer loss are considered. The effects of various design parameters, such as the minimum and maximum temperatures of the working fluid and the compression ratio on the power output and the first and second-laws efficiencies of the cycle are discussed. In the following, a procedure named ANN is used for predicting the thermal efficiency values versus the compression ratio, and the minimum and maximum temperatures of the Miller cycle. Nowadays, Miller cycle is widely used in the automotive industry and the obtained results of this study will provide some significant theoretical grounds for the design optimization of the Miller cycle.
- Subjects :
- Thermal efficiency
Engineering
Miller cycle
business.industry
020209 energy
Mechanical Engineering
Thermodynamics
02 engineering and technology
Building and Construction
Compression (physics)
Pollution
Industrial and Manufacturing Engineering
Friction loss
law.invention
Piston
General Energy
law
Compression ratio
0202 electrical engineering, electronic engineering, information engineering
Exergy efficiency
Working fluid
Electrical and Electronic Engineering
business
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 03605442
- Volume :
- 94
- Database :
- OpenAIRE
- Journal :
- Energy
- Accession number :
- edsair.doi...........7c8c2e3af23526b5aa12b592f5fc2e43
- Full Text :
- https://doi.org/10.1016/j.energy.2015.10.073