The most critical component of an absorption heat transformer (AHT) is the absorber, by which the exothermic reaction is carried out, resulting in a useful thermal energy. This article proposed a model based on improving the performance of energy for an absorber with disks of graphite during the exothermic reaction, through an optimal strategy. Two models of artificial neural networks (ANN) were developed to predict the thermal energy, through two important factors: internal heat in the absorber (QAB) and the temperature of the working solution of the absorber outlet (TAB). Confronting the simulated and real data, a satisfactory agreement was appreciated, obtaining a mean absolute percentage error (MAPE) value of 0.24% to calculate QAB and of 0.17% to calculate TAB. Furthermore, from these ANN models, the inverse neural network (ANNi) allowed improves the thermal efficiency of the absorber (QAB and TAB). To find the optimal values, it was necessary to propose an objective function, where the genetic algorithms (GAs) were indicated. Finally, by applying the ANNi–GAs model, the optimized network configuration was to find an optimal value of concentrated solution of LiBr–H2O and the vapor inlet temperature to the absorber. The results obtained from the optimization allowed to reach a value of QAB from 1.77 kW to 2.44 kW, when a concentrated solution of LiBr–H2O at 59% was used and increased the value of TAB from 104.66 °C to 109.2 °C when a vapor inlet temperature of 73 °C was used.
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February 2018
Research-Article
Optimization and Estimation of the Thermal Energy of an Absorber With Graphite Disks by Using Direct and Inverse Neural Network
A. Márquez-Nolasco,
A. Márquez-Nolasco
Centro de Investigación en Ingeniería y Ciencias
Aplicadas (CIICAp),
Universidad Autónoma del Estado de Morelos,
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
Aplicadas (CIICAp),
Universidad Autónoma del Estado de Morelos,
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
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R. A. Conde-Gutiérrez,
R. A. Conde-Gutiérrez
Centro de Investigación en Ingeniería y Ciencias
Aplicadas (CIICAp),
Universidad Autónoma del Estado de Morelos,
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
e-mail: roberto.conde@uaem.mx
Aplicadas (CIICAp),
Universidad Autónoma del Estado de Morelos,
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
e-mail: roberto.conde@uaem.mx
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J. A. Hernández,
J. A. Hernández
Centro de Investigación en Ingeniería y Ciencias
Aplicadas (CIICAp),
Universidad Autónoma del Estado
de Morelos (UAEM),
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
e-mail: alfredo@uaem.mx
Aplicadas (CIICAp),
Universidad Autónoma del Estado
de Morelos (UAEM),
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
e-mail: alfredo@uaem.mx
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A. Huicochea,
A. Huicochea
Centro de Investigación en Ingeniería y Ciencias
Aplicadas (CIICAp),
Universidad Autónoma del Estado de Morelos (UAEM),
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
Aplicadas (CIICAp),
Universidad Autónoma del Estado de Morelos (UAEM),
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
Search for other works by this author on:
J. Siqueiros,
J. Siqueiros
Secretaría de Innovación,
Ciencia y Tecnología de Morelos,
Avenida Atlacomulco No. 13,
Colonia Acapatzingo, C.P.,
Cuernavaca 62440, Morelos, Mexico
Ciencia y Tecnología de Morelos,
Avenida Atlacomulco No. 13,
Colonia Acapatzingo, C.P.,
Cuernavaca 62440, Morelos, Mexico
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O. R. Pérez
O. R. Pérez
Centro de Investigación en Ingeniería y Ciencias
Aplicadas (CIICAp),
Universidad Autónoma del Estado de Morelos,
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
Aplicadas (CIICAp),
Universidad Autónoma del Estado de Morelos,
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
Search for other works by this author on:
A. Márquez-Nolasco
Centro de Investigación en Ingeniería y Ciencias
Aplicadas (CIICAp),
Universidad Autónoma del Estado de Morelos,
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
Aplicadas (CIICAp),
Universidad Autónoma del Estado de Morelos,
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
R. A. Conde-Gutiérrez
Centro de Investigación en Ingeniería y Ciencias
Aplicadas (CIICAp),
Universidad Autónoma del Estado de Morelos,
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
e-mail: roberto.conde@uaem.mx
Aplicadas (CIICAp),
Universidad Autónoma del Estado de Morelos,
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
e-mail: roberto.conde@uaem.mx
J. A. Hernández
Centro de Investigación en Ingeniería y Ciencias
Aplicadas (CIICAp),
Universidad Autónoma del Estado
de Morelos (UAEM),
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
e-mail: alfredo@uaem.mx
Aplicadas (CIICAp),
Universidad Autónoma del Estado
de Morelos (UAEM),
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
e-mail: alfredo@uaem.mx
A. Huicochea
Centro de Investigación en Ingeniería y Ciencias
Aplicadas (CIICAp),
Universidad Autónoma del Estado de Morelos (UAEM),
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
Aplicadas (CIICAp),
Universidad Autónoma del Estado de Morelos (UAEM),
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
J. Siqueiros
Secretaría de Innovación,
Ciencia y Tecnología de Morelos,
Avenida Atlacomulco No. 13,
Colonia Acapatzingo, C.P.,
Cuernavaca 62440, Morelos, Mexico
Ciencia y Tecnología de Morelos,
Avenida Atlacomulco No. 13,
Colonia Acapatzingo, C.P.,
Cuernavaca 62440, Morelos, Mexico
O. R. Pérez
Centro de Investigación en Ingeniería y Ciencias
Aplicadas (CIICAp),
Universidad Autónoma del Estado de Morelos,
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
Aplicadas (CIICAp),
Universidad Autónoma del Estado de Morelos,
Avenida Universidad No. 1001,
Col Chamilpa, CP,
Cuernavaca 62209, Morelos, Mexico
1Corresponding authors.
Contributed by the Advanced Energy Systems Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received April 1, 2017; final manuscript received April 11, 2017; published online September 28, 2017. Editor: Hameed Metghalchi.
J. Energy Resour. Technol. Feb 2018, 140(2): 020906 (13 pages)
Published Online: September 28, 2017
Article history
Received:
April 1, 2017
Revised:
April 11, 2017
Citation
Márquez-Nolasco, A., Conde-Gutiérrez, R. A., Hernández, J. A., Huicochea, A., Siqueiros, J., and Pérez, O. R. (September 28, 2017). "Optimization and Estimation of the Thermal Energy of an Absorber With Graphite Disks by Using Direct and Inverse Neural Network." ASME. J. Energy Resour. Technol. February 2018; 140(2): 020906. https://doi.org/10.1115/1.4036544
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