Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Due to the application of coil-shaped coils in a compressed gas flow exchanger and water pipe flow in airconditioner devices, air conditioning and refrigeration systems, both industrial and domestic, need to be optimized to improve exchange capacity of heat exchangers by reducing the pressure drop. Today, due to the reduction of fossil fuel resources and the importance of optimal use of resources, optimization of thermal, mechanical and electrical devices has gained particular importance. Compressed heat exchangers are the devices used in industries, especially oil and petrochemical ones, as well as in power plants. So, in this paper we try to optimize compressed heat exchangers. Variables of the functions or state-of-the-machine parameters are optimized in compressed heat exchangers to achieve maximum thermal efficiency. To do this, it is necessary to provide equations and functions of the compressed heat exchanger relative to the functional variables and then to formulate the parameter for the gas pressure drop of the gas flow through the blades and the heat exchange surface in relation to the heat duty. The heat transfer rate to the gas-side pressure drop is maximized by solving the binary equation system in the genetic algorithm. The results show that using optimization, the heat capacity and the efficiency of the heat exchanger improved by 15% and the pressure drop along the path significantly decreases.
Rocznik
Tom
Strony
461--472
Opis fizyczny
Bibliogr. 12 poz., rys., tab., wykr.
Twórcy
autor
- Technical Manager of Inspection at ARAD Engineering & Inspection Company IRAN
autor
- Department of Mechanical Engineering, University of Tabriz Tabriz, IRAN
Bibliografia
- [1] Kangtai Wang and Ning Wang (2011): A protein inspired RNA genetic algorithm for parameter estimation in hydro-cracking of heavy oil. Chemical Engineering Journal, vol.167, pp.228-239.
- [2] Holman J.P. (2011): Heat Transfer. 6th Edition, New York: McGraw-Hill.
- [3] Xie G.N., Sunden B. and Wang Q.W. (2008): Optimization of compact heat exchangers by a genetic algorithm. Journal of Applied Thermal Engineering, vol.28, pp.895-906.
- [4] Hao Peng and Xiang Ling (2008): Optimal design approach for the plate-fin heat exchangers using neural networks cooperated with genetic algorithms. Journal of Applied Thermal Engineering, vol.28, pp.642-650.
- [5] Mishra M., Das P.K. and Sunil Sarangi (2009): Second law based optimization of cross flow plate-fin heat exchanger design using genetic algorithm. Journal of Applied Thermal Engineering, vol.29, pp.2983-2989.
- [6] Sanaye S. and Hajabdollahi H. (2010): Thermal-economic multi-objective optimization of plate-fin heat Exchange using genetic algorithm. Applied Energy, vol.87, pp.1893-1902.
- [7] Rao R.V. and Patel V.K. (2010): Thermodynamic optimization of cross flow plate-fin heat exchanger using a particle swarm optimization algorithm. International Journal of Thermal Sciences, vol.49, pp.1712-1721.
- [8] Hamidreza Najafi, Behzad Najafi and Pooya Hoseinpoori (2011): Energy and cost optimization of a plate and fin heat exchanger using genetic algorithm. Journal of Applied Thermal Engineering, vol.31, pp.1839-1847.
- [9] Ghosh S., Ghosh I., Pratihar D.K., Maiti B. and Das P.K. (2011): Optimum stacking pattern for multi-stream platefin heat exchanger through a genetic algorithm. International Journal of Thermal Sciences, vol.50, pp.214-224.
- [10] Ali Khodayari Bavil, Seyed Esmail Razavi (2017): On the thermo-flow behavior in a rectangular channel with skewed circular ribs, Mechanics & Industry, vol. 18 (2), p. 225, DOI: 10.1051/meca/2016057.
- [11] Yavuz Özçelik (2007): Exergetic optimization of shell and tube heat exchangers using a genetic based algorithm. Journal of Applied Thermal Engineering, vol.27, pp.1849-1856.
- [12] Jiangfeng Guo, Lin Cheng and Mingtian Xu (2009): Optimization design of shell-and-tube heat exchanger by entropy generation minimization and genetic algorithm. Journal of Applied Thermal Engineering, vol.29, pp.2954-2960.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-27866a5c-4098-40ab-866e-54a46fcb60f6