IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v34y2009i1p14-21.html
   My bibliography  Save this article

Energy and exergy analysis for cocurrent gas spray cooling systems based on the results of mathematical modeling and simulation

Author

Listed:
  • Niksiar, Arezou
  • Rahimi, Amir

Abstract

The present study provides a descriptive mathematical model for energy and exergy analysis for a cocurrent gas spray cooling system. Conservation laws of mass, energy and momentum are used to predict the variation of temperature and enthalpy of gas and liquid streams along the tower length. The same procedure is also used to calculate the energy and exergy efficiencies. The validity of the model for predicting variations in gas and liquid characteristics along the tower length was examined against some operating data measured in a commercial cement plant. The results show that in spite of high energy efficiency, the gas spray cooling systems have relatively low exergy efficiency. This was due to thermodynamic irreversibilities and entropy production during heat and mass transfer processes. Also the effect of some operating parameters, including tower diameter, tower length, liquid drop size distribution and water flow rate was investigated, on the amount of exergy destruction. This study also concluded that the exergy of water is not completely absorbed by gas and a remarkable portion of exergy is destroyed. Results of such investigations may provide us with the true energy potential carried by fluids.

Suggested Citation

  • Niksiar, Arezou & Rahimi, Amir, 2009. "Energy and exergy analysis for cocurrent gas spray cooling systems based on the results of mathematical modeling and simulation," Energy, Elsevier, vol. 34(1), pages 14-21.
  • Handle: RePEc:eee:energy:v:34:y:2009:i:1:p:14-21
    DOI: 10.1016/j.energy.2008.09.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054420800251X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2008.09.009?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. Utlu, Zafer & Hepbasli, Arif, 2007. "A review and assessment of the energy utilization efficiency in the Turkish industrial sector using energy and exergy analysis method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(7), pages 1438-1459, September.
    2. Lior, Noam & Zhang, Na, 2007. "Energy, exergy, and Second Law performance criteria," Energy, Elsevier, vol. 32(4), pages 281-296.
    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. Wieberdink, Jacob & Li, Perry Y. & Simon, Terrence W. & Van de Ven, James D., 2018. "Effects of porous media insert on the efficiency and power density of a high pressure (210 bar) liquid piston air compressor/expander – An experimental study," Applied Energy, Elsevier, vol. 212(C), pages 1025-1037.
    2. De Paepe, W. & Contino, F. & Delattin, F. & Bram, S. & De Ruyck, J., 2014. "New concept of spray saturation tower for micro Humid Air Turbine applications," Applied Energy, Elsevier, vol. 130(C), pages 723-737.
    3. Sami, Samaneh & Etesami, Nasrin & Rahimi, Amir, 2011. "Energy and exergy analysis of an indirect solar cabinet dryer based on mathematical modeling results," Energy, Elsevier, vol. 36(5), pages 2847-2855.
    4. Cui, Haijiao & Li, Nianping & Peng, Jinqing & Yin, Rongxin & Li, Jingming & Wu, Zhibin, 2018. "Investigation on the thermal performance of a novel spray tower with upward spraying and downward gas flow," Applied Energy, Elsevier, vol. 231(C), pages 12-21.
    5. Gakkhar, Nikhil & Soni, M.S. & Jakhar, Sanjeev, 2016. "Second law thermodynamic study of solar assisted distillation system: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 519-535.
    6. Qingqing Liu & Nianping Li & Yongga A & Jiaojiao Duan & Wenyun Yan, 2021. "The Evaluation of the Corrosion Rates of Alloys Applied to the Heating Tower Heat Pump (HTHP) by Machine Learning," Energies, MDPI, vol. 14(7), pages 1-13, April.
    7. Cui, Haijiao & Li, Nianping & Wang, Xinlei & Peng, Jinqing & Li, Yuan & Wu, Zhibin, 2017. "Optimization of reversibly used cooling tower with downward spraying," Energy, Elsevier, vol. 127(C), pages 30-43.
    8. Redha, Adel Mohammed & Dincer, Ibrahim & Gadalla, Mohamed, 2011. "Thermodynamic performance assessment of wind energy systems: An application," Energy, Elsevier, vol. 36(7), pages 4002-4010.
    9. Chen, Qun & Wang, Moran & Pan, Ning & Guo, Zeng-Yuan, 2009. "Optimization principles for convective heat transfer," Energy, Elsevier, vol. 34(9), pages 1199-1206.
    10. Li, Hailong & Wang, Bin & Yan, Jinying & Salman, Chaudhary Awais & Thorin, Eva & Schwede, Sebastian, 2019. "Performance of flue gas quench and its influence on biomass fueled CHP," Energy, Elsevier, vol. 180(C), pages 934-945.
    11. Yan, Bo & Wieberdink, Jacob & Shirazi, Farzad & Li, Perry Y. & Simon, Terrence W. & Van de Ven, James D., 2015. "Experimental study of heat transfer enhancement in a liquid piston compressor/expander using porous media inserts," Applied Energy, Elsevier, vol. 154(C), pages 40-50.

    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. Ohijeagbon, Idehai O. & Waheed, M. Adekojo & Jekayinfa, Simeon O., 2013. "Methodology for the physical and chemical exergetic analysis of steam boilers," Energy, Elsevier, vol. 53(C), pages 153-164.
    2. Raúl Arango-Miranda & Robert Hausler & Rabindranarth Romero-López & Mathias Glaus & Sara Patricia Ibarra-Zavaleta, 2018. "An Overview of Energy and Exergy Analysis to the Industrial Sector, a Contribution to Sustainability," Sustainability, MDPI, vol. 10(1), pages 1-19, January.
    3. Utlu, Zafer, 2015. "Investigation of the potential for heat recovery at low, medium, and high stages in the Turkish industrial sector (TIS): An application," Energy, Elsevier, vol. 81(C), pages 394-405.
    4. Miladi, Rihab & Frikha, Nader & Gabsi, Slimane, 2017. "Exergy analysis of a solar-powered vacuum membrane distillation unit using two models," Energy, Elsevier, vol. 120(C), pages 872-883.
    5. Yan, Rujing & Wang, Jiangjiang & Wang, Jiahao & Tian, Lei & Tang, Saiqiu & Wang, Yuwei & Zhang, Jing & Cheng, Youliang & Li, Yuan, 2022. "A two-stage stochastic-robust optimization for a hybrid renewable energy CCHP system considering multiple scenario-interval uncertainties," Energy, Elsevier, vol. 247(C).
    6. Kumar, Vikash, 2021. "Experimental investigation of exergetic efficiency of 3 side concave dimple roughened absorbers," Energy, Elsevier, vol. 215(PB).
    7. Dai, Baomin & Li, Minxia & Ma, Yitai, 2014. "Thermodynamic analysis of carbon dioxide blends with low GWP (global warming potential) working fluids-based transcritical Rankine cycles for low-grade heat energy recovery," Energy, Elsevier, vol. 64(C), pages 942-952.
    8. Wang, Jiangfeng & Sun, Zhixin & Dai, Yiping & Ma, Shaolin, 2010. "Parametric optimization design for supercritical CO2 power cycle using genetic algorithm and artificial neural network," Applied Energy, Elsevier, vol. 87(4), pages 1317-1324, April.
    9. Flórez-Orrego, Daniel & Nascimento Silva, Fernanda & de Oliveira Junior, Silvio, 2019. "Syngas production with thermo-chemically recuperated gas expansion systems: An exergy analysis and energy integration study," Energy, Elsevier, vol. 178(C), pages 293-308.
    10. BoroumandJazi, G. & Rismanchi, B. & Saidur, R., 2013. "A review on exergy analysis of industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 198-203.
    11. Hoang, Viet-Ngu & Rao, D.S. Prasada, 2010. "Measuring and decomposing sustainable efficiency in agricultural production: A cumulative exergy balance approach," Ecological Economics, Elsevier, vol. 69(9), pages 1765-1776, July.
    12. Zafer Utlu, 0. "Thermophotovoltaic applications in waste heat recovery systems: example of GaSb cell," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 15(2), pages 277-286.
    13. Sarkar, Jahar, 2010. "Thermodynamic analyses and optimization of a recompression N2O Brayton power cycle," Energy, Elsevier, vol. 35(8), pages 3422-3428.
    14. Raul Arango Miranda & Robert Hausler & Rabindranarth Romero Lopez & Mathias Glaus & Jose Ramon Pasillas-Diaz, 2020. "Testing the Environmental Kuznets Curve Hypothesis in North America’s Free Trade Agreement (NAFTA) Countries," Energies, MDPI, vol. 13(12), pages 1-13, June.
    15. Al-Ghandoor, A. & Phelan, P.E. & Villalobos, R. & Jaber, J.O., 2010. "Energy and exergy utilizations of the U.S. manufacturing sector," Energy, Elsevier, vol. 35(7), pages 3048-3065.
    16. Gutiérrez, Alexis Sagastume & Vandecasteele, Carlo, 2011. "Exergy-based indicators to evaluate the possibilities to reduce fuel consumption in lime production," Energy, Elsevier, vol. 36(5), pages 2820-2827.
    17. Blanco-Marigorta, A.M. & Lozano-Medina, A. & Marcos, J.D., 2017. "A critical review of definitions for exergetic efficiency in reverse osmosis desalination plants," Energy, Elsevier, vol. 137(C), pages 752-760.
    18. Deng, Jian & Wang, Ruzhu & Wu, Jingyi & Han, Guyong & Wu, Dawei & Li, Sheng, 2008. "Exergy cost analysis of a micro-trigeneration system based on the structural theory of thermoeconomics," Energy, Elsevier, vol. 33(9), pages 1417-1426.
    19. Rawat, Rahul & Singh, Ramayan & Sastry, O.S. & Kaushik, S.C., 2017. "Performance evaluation of micromorph based thin film photovoltaic modules in real operating conditions of composite climate," Energy, Elsevier, vol. 120(C), pages 537-548.
    20. Mousapour, Ashkan & Hajipour, Alireza & Rashidi, Mohammad Mehdi & Freidoonimehr, Navid, 2016. "Performance evaluation of an irreversible Miller cycle comparing FTT (finite-time thermodynamics) analysis and ANN (artificial neural network) prediction," Energy, Elsevier, vol. 94(C), pages 100-109.

    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:energy:v:34:y:2009:i:1:p:14-21. 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/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.