IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v36y2011i5p1315-1322.html
   My bibliography  Save this article

Error propagation on COP prediction by artificial neural network in a water purification system integrated to an absorption heat transformer

Author

Listed:
  • Colorado, D.
  • Hernández, J.A.
  • El Hamzaoui, Y.
  • Bassam, A.
  • Siqueiros, J.
  • Andaverde, J.

Abstract

Numerous authors have reported heat transfer prediction using artificial neural network (ANN). However, the precision or accuracy of the calculation is generally unknown. Error propagation from Monte Carlo method is applied to the coefficient of performance (COP) predicted by ANN. This COP permitted us to evaluate a water purification process integrated into a heat transformer. A feedforward network with a hidden layer was used in order to obtain error propagation in COP prediction. This model used the input and output-temperatures for each component (absorber, generator, evaporator, and condenser), as well as two pressure parameters from the absorption heat transformer and LiBr + H2O mixture with different LiBr concentrations. The hyperbolic tangent sigmoid transfer-function and the linear transfer-function were used for the network. A new correlation for calculating relative standard deviation (%RSDCOP) of COP as a function of COPEXP and %RSDinstrument was obtained. This study shows that %RSDCOP of ANN prediction decreased when the experimental COP is increased. The range of COP operations was from 0.21 to 0.39.

Suggested Citation

  • Colorado, D. & Hernández, J.A. & El Hamzaoui, Y. & Bassam, A. & Siqueiros, J. & Andaverde, J., 2011. "Error propagation on COP prediction by artificial neural network in a water purification system integrated to an absorption heat transformer," Renewable Energy, Elsevier, vol. 36(5), pages 1315-1322.
    • Handle: RePEc:eee:renene:v:36:y:2011:i:5:p:1315-1322
    DOI: 10.1016/j.renene.2010.10.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148110004891
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2010.10.018?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Şencan, Arzu & Yakut, Kemal A. & Kalogirou, Soteris A., 2005. "Exergy analysis of lithium bromide/water absorption systems," Renewable Energy, Elsevier, vol. 30(5), pages 645-657.
    2. Hernández, J.A. & Bassam, A. & Siqueiros, J. & Juárez-Romero, D., 2009. "Optimum operating conditions for a water purification process integrated to a heat transformer with energy recycling using neural network inverse," Renewable Energy, Elsevier, vol. 34(4), pages 1084-1091.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Parham, Kiyan & Khamooshi, Mehrdad & Tematio, Daniel Boris Kenfack & Yari, Mortaza & Atikol, Uğur, 2014. "Absorption heat transformers – A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 430-452.
    2. Donnellan, Philip & Cronin, Kevin & Byrne, Edmond, 2015. "Recycling waste heat energy using vapour absorption heat transformers: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1290-1304.
    3. Donnellan, Philip & Byrne, Edmond & Oliveira, Jorge & Cronin, Kevin, 2014. "First and second law multidimensional analysis of a triple absorption heat transformer (TAHT)," Applied Energy, Elsevier, vol. 113(C), pages 141-151.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gebreslassie, Berhane H. & Medrano, Marc & Boer, Dieter, 2010. "Exergy analysis of multi-effect water–LiBr absorption systems: From half to triple effect," Renewable Energy, Elsevier, vol. 35(8), pages 1773-1782.
    2. Colorado, D. & Hernández, J.A. & Rivera, W. & Martínez, H. & Juárez, D., 2011. "Optimal operation conditions for a single-stage heat transformer by means of an artificial neural network inverse," Applied Energy, Elsevier, vol. 88(4), pages 1281-1290, April.
    3. Kaynakli, O., 2008. "The first and second law analysis of a lithium bromide/water coil absorber," Energy, Elsevier, vol. 33(5), pages 804-816.
    4. Álvarez, María E. & Hernández, José A. & Bourouis, Mahmoud, 2016. "Modelling the performance parameters of a horizontal falling film absorber with aqueous (lithium, potassium, sodium) nitrate solution using artificial neural networks," Energy, Elsevier, vol. 102(C), pages 313-323.
    5. Koroneos, C. & Nanaki, E. & Xydis, G., 2010. "Solar air conditioning systems and their applicability—An exergy approach," Resources, Conservation & Recycling, Elsevier, vol. 55(1), pages 74-82.
    6. Lazcano-Véliz, Y. & Hernández, J.A. & Juárez-Romero, D. & Bourouis, Mahmoud & Coronas, Alberto & Siqueiros, J., 2017. "Energy efficiency assessment in the generator of an absorption heat transformer from measurement falling film thickness on helical coils," Applied Energy, Elsevier, vol. 208(C), pages 1274-1284.
    7. Onan, C. & Ozkan, D.B. & Erdem, S., 2010. "Exergy analysis of a solar assisted absorption cooling system on an hourly basis in villa applications," Energy, Elsevier, vol. 35(12), pages 5277-5285.
    8. Zhu, Linghui & Gu, Junjie, 2010. "Second law-based thermodynamic analysis of ammonia/sodium thiocyanate absorption system," Renewable Energy, Elsevier, vol. 35(9), pages 1940-1946.
    9. Chahartaghi, Mahmood & Sheykhi, Mohammad, 2019. "Energy, environmental and economic evaluations of a CCHP system driven by Stirling engine with helium and hydrogen as working gases," Energy, Elsevier, vol. 174(C), pages 1251-1266.
    10. Szabó, Gábor L. & Kalmár, Ferenc, 2019. "Investigation of energy and exergy performances of radiant cooling systems in buildings – A design approach," Energy, Elsevier, vol. 185(C), pages 449-462.
    11. Wonchala, Jason & Hazledine, Maxwell & Goni Boulama, Kiari, 2014. "Solution procedure and performance evaluation for a water–LiBr absorption refrigeration machine," Energy, Elsevier, vol. 65(C), pages 272-284.
    12. Donnellan, Philip & Cronin, Kevin & Byrne, Edmond, 2015. "Recycling waste heat energy using vapour absorption heat transformers: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1290-1304.
    13. Labus, J. & Hernández, J.A. & Bruno, J.C. & Coronas, A., 2012. "Inverse neural network based control strategy for absorption chillers," Renewable Energy, Elsevier, vol. 39(1), pages 471-482.
    14. Rosiek, S. & Batlles, F.J., 2009. "Integration of the solar thermal energy in the construction: Analysis of the solar-assisted air-conditioning system installed in CIESOL building," Renewable Energy, Elsevier, vol. 34(6), pages 1423-1431.
    15. Parham, Kiyan & Khamooshi, Mehrdad & Tematio, Daniel Boris Kenfack & Yari, Mortaza & Atikol, Uğur, 2014. "Absorption heat transformers – A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 430-452.
    16. Ustaoglu, Abid, 2020. "Parametric study of absorption refrigeration with vapor compression refrigeration cycle using wet, isentropic and azeotropic working fluids: Conventional and advanced exergy approach," Energy, Elsevier, vol. 201(C).
    17. Gong, Sunyoung & Goni Boulama, Kiari, 2014. "Parametric study of an absorption refrigeration machine using advanced exergy analysis," Energy, Elsevier, vol. 76(C), pages 453-467.
    18. Gebreslassie, Berhane H. & Guillén-Gosálbez, Gonzalo & Jiménez, Laureano & Boer, Dieter, 2009. "Design of environmentally conscious absorption cooling systems via multi-objective optimization and life cycle assessment," Applied Energy, Elsevier, vol. 86(9), pages 1712-1722, September.
    19. Gebreslassie, Berhane H. & Groll, Eckhard A. & Garimella, Suresh V., 2012. "Multi-objective optimization of sustainable single-effect water/Lithium Bromide absorption cycle," Renewable Energy, Elsevier, vol. 46(C), pages 100-110.
    20. Anvari, Simin & Khoshbakhti Saray, Rahim & Bahlouli, Keyvan, 2015. "Conventional and advanced exergetic and exergoeconomic analyses applied to a tri-generation cycle for heat, cold and power production," Energy, Elsevier, vol. 91(C), pages 925-939.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:36:y:2011:i:5:p:1315-1322. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.