Search for optimum operating conditions for a water purification process integrated to a heat transformer with energy recycling using artificial neural network inverse solved by genetic and particle swarm algorithms

Chemical Product and Process Modeling

Volumn 7, Issue 1, 2012, Pages

  El Hamzaoui, Youness ^a   Ali, Bassam ^b   Alfredo Hernandez, J ^a   Aburto, Obed Cortez ^c   Oubram, Outmane ^d  

^a Autonoumus University of Morelos State   (Mexico)

^b UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

^c UNIVERSIDAD POLITÉCNICA DE PUEBLA   (Mexico)

^d INSTITUTO DE INVESTIGACIONES EN MATERIALES   (Mexico)

Author keywords

Artificial intelligence; Evolutionary algorithms; Heat pump; Objective function; Swarm intelligence

Indexed keywords

ABSORPTION HEAT TRANSFORMER; ARTIFICIAL NEURAL NETWORK INVERSE; COEFFICIENT OF PERFORMANCE; HEAT PUMPS; OBJECTIVE FUNCTIONS; OPTIMUM OPERATING CONDITIONS; PARTICLE SWARM ALGORITHM; SWARM INTELLIGENCE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; EVOLUTIONARY ALGORITHMS; HEAT PUMP SYSTEMS; NEURAL NETWORKS; OPTIMIZATION; WATER SUPPLY; WATER TREATMENT PLANTS;

RECYCLING;

EID: 84885434783     PISSN: 21946159     EISSN: 19342659     Source Type: Journal    
DOI: 10.1515/1934-2659.1614     Document Type: Article

References (26)

1. Chang C., Xu G., Yang J., Wang D., Optimization of Cellulase Production using Agricultural Wastes by Artificial Neural Network and Genetic Algorithm, Chemical Product and Process Modeling, 6 (2011) 1-16.
2. Clauß V., Kühn A., Ziegler F., A new control strategy for solar driven absorption Chillers, 2nd International Conference Solar Air Conditioning Tarragona, Spain, (2007) 44-50.
3. El Hamzaoui Y., Hernandez J. A., Chavez Cruz M. A., Bassam A., Search for Optimal Design of Multiproduct Batch Plants under Uncertain Demand using Gaussian Process Modeling Solved by Heuristics Methods, Chemical Product and Process Modeling, 5 (2010) 1-22.
4. Garson G. D., Interpreting neural-network connection weights, AI Expert 6 (1991) 47-51.
5. Goldberg D. E., Genetic algorithms in search optimization and machine learning. Addison Wesley., 1989.
6. Hagan M. T., Menhaj M. B., Training Feedforward Networks with the Marquardt Algorithm, IEEE Transactions on Neural Network, 5 (1994) 989-993.
7. Hamidipour M., Mostoufi N., Rahmat Sotudeh-Gharebagh R., Modeling the synthesis section of an industrial urea plant, Chemical Engineering Journal, 106 (2005) 249-260.
8. Hernández J. A., Bassam A., Siqueiros J., Romero D. J., Optimum operating conditions for a water purification process integrated to a heat transformer with energy recycling using neural networks inverse, Renewable Energy, 34 (2009) 1084-91.
9. Hernández J. A., Romero D. J., Morales L. I., Siqueiros J., COP prediction for the integration of a water purification process in a heat transformer: with and without energy recycling, Desalination, 219 (2008) 66-80.
10. Holland J. H., Adaptation in Natural and Artificial Systems. MIT Press., 1975.
11. Huicochea A., Siqueiros J., Improved efficiency of energy use of heat transformer using a water purification, Desalination, 257 (2010) 8-15.
12. Huicochea A., Siqueiros J., Romero R. J., Portable water purification system integrated to a heat transformer, Desalination, 165 (2004) 385-91.
13. Iranshahi A., Hakimelahi H. R., Sotudeh-Gharebagh R., Mostoufi N., Simulation of an acid-based starch converter, Chemical Engineering and Technology, 27 (2004) 569-577.
14. Kennedy J., Eberhart R. C., Particle swarm optimization. IEEE Proceeding, 4 (1995) 1942-1948.
15. Kohlenbach P., Control Strategies and Transient Chiller Performance. PhD thesis, Technical University of Berlin, Forschungsberichte des Deutschen Kälte und Klimatechnischen Vereins, Nr. 74, Erding, Germany, 2006.
16. Kůrková V., Kolmogorov's theorem and multilayer neural networks, Neural Networks, 5 (1992) 501-506.
17. Lagarias J. C., Reeds J. A., Wright M. H., Wright P. E., Convergence properties of the Nelder-Mead simplex method in low dimensions, SIAM Journal of Optimization, 9 (1998) 112-147.
18. Lecuona A., Ventas R., Venegas M., Zacarías A., Salgado R., Optimum hot water temperature for absorption solar cooling, Solar Energy, 83 (2009) 1806-1814.
19. Mehrpooya M., Vatani A., Mousavian S. M., Optimum design of integrated liquid recovery plants by variable population size genetic algorithm, The Canadian Journal of Chemical Engineering, 88 (2010) 1054-1064.
20. Morales G. L. I., Estudio experimental sobre un sistema portátil de purificación de agua integrado a un transformador térmico, MSc Thesis, CIICAp-UAEM. México, 2005.
21. Mostoufi N., Sotudeh-Gharebagh R., Ahmadpour M., Simulation of an industrial pyrolysis gasoline hydrogenation unit, Chemical Engineering and Technology 28 (2005) 174-181.
22. Ravagnani M., Silva A. P., Arroyo P. A., Constantino A. A., Heat exchanger network syntesis and optimization using genetic algorithm, Applied Thermal Engineering 25 (2005) 1003-1017.
23. Shi Y., Eberhart R. A., Modified Particle Swarm Optimizer, IEEE Proceeding, (1998) 69-73.
24. Siqueiros J., Romero R. J., Increased COP for heat transformer in water purification systems. Part I: temperature increase for heat source, Appliel Thermal Engineering, 27 (2007) 1043-53.
25. Sotudeh-Gharebagh R., Mostoufi N., Simulation of a catalytic turbulent fluidized bed reactor using the sequential modular approach, Fuel Processing Technology 85 (2004) 189-200.
26. Torres M. J., Contacteurs gaz-liquide pour pompes á chaleur á absorption multiétagées. Ph. D Thesis, Institut National Polytechnique de Lorraine, 1997. France.