Термодинамічний аналіз термічної опріснювальної установки з циклом зволоження–осушення повітря

Volodymyr Sereda; Andrii Solomakha; Natalia Prytula; Oleksii Zabolotny

doi:10.20535/kpisn.2021.4.250663

Vol. · Issue 4 · 2021 Jun 1, 2020 article

Thermodynamic analysis of thermal desalination system with humidification–dehumidification cycle

Volodymyr Sereda Corresponding КПІ ім. Ігоря Сікорського, ТЕФ, кафедра теплоенергетики, Ukraine Ukraine

Andrii Solomakha КПІ ім. Ігоря Сікорського, ТЕФ, кафедра теплоенергетики, Ukraine Ukraine

Natalia Prytula КПІ ім. Ігоря Сікорського, ТЕФ, кафедра теплоенергетики, Ukraine Ukraine

Oleksii Zabolotny КПІ ім. Ігоря Сікорського, ТЕФ, кафедра теплоенергетики, Ukraine Ukraine

PublishedJun 1, 2020

PDF (Ukrainian)

KPISN 4 VOL · 4

VOL · ISS 4 · 2021 View issue

Abstract

Problems. Today desalination of seawaterprovides a worldwide fresh water productionof 24.5 million m 3 perday.One of the promising desalination methods is thermal humidification-dehumidification process. In spite of significant benefits this technology, it has a key drawback – high thermal energy consumption. The aim of the study. Determine the optimal thermodynamic parameters of working substances (air and water) in elements of desalination system with humidification–dehumidification cycleto obtain maximum performance with a minimum energy consumption. Methodology of implementation. Mathematical modeling of the humidification-dehumidification cycle at different input parameters. The thermodynamic model was createdusing equations of mass and energy balances of the desalination system. Research results. System Gain output ratio(GOR) increases with increasing salt watertemperature at the outlet of the dehumidifier. Maximum valuesof GORand recovery ratio (RR) are observed at the maximum temperature difference (maximum heating) of salt water in the dehumidifier. It is shown that values of GOR and RR increasewith increasing salt water temperature at the inlet to the humidifier. It is found that GOR value is independent of the temperature and humidity of the air at the inlet to the humidifier. Conclusions.The maximum valuesof GOR and RR for the humidification-dehumidification cycle with additional water heating are 3.75 and 6%, respectively. To obtain such results,the temperature of salt water at the inlet tothe system (dehumidifier) should be equal to 10 °C, and the temperature of salt water at the inlet to the humidifier – 70 °C. At the same time, temperature and humidity of the airсan have any values. The use of renewable energy for heating salt water in the heater will significantly increase system GOR

Keywords

#thermodynamic analysis #thermal desalination #mathematical model #humidification-dehumidification #gain output ratio

References

F. Macedonio et al., “Efficient technologies for worldwide clean water supply,” Chem. Eng. Process., vol. 51, pp. 2–17, 2012, doi: 10.1016/j.cep.2011.09.011.
“Nature-based solutions for water,” UNESCO, Paris, France, 2018. [Online]. Available: https://unesdoc.unesco.org/ark:/48223/pf0000261424 .
T. Luo et al., “Aqueduct projected water stress country rankings,” World Resources Institute, Washington, D.C., USA, 2015. [Online]. Available: https://www.wri.org/data/aqueduct-projected-water-stress-country-rankings .
“Форум з екології та сталого розвитку України 2021.” dpss.gov.ua.
https://dpss.gov.ua/news/ukrayina-mozhe-zitknutisya-z-deficitom-yakisnoyi-pitnoyi-vodi-vladislava-magalecka (accessed Jan. 28, 2021).
A. Subramani and J. G. Jacangelo, “Emerging desalination technologies for water treatment: a critical review,” Water Res., vol. 75, pp. 164–187, 2015, doi: 10.1016/j.watres.2015.02.032.
Y. B. Karhe and P. V. Walke, “A solar desalination system using humidification-dehumidification process: a review of recent research,” Int. J. Mod. Eng. Res., vol. 3, no. 2, pp. 962–969, 2013.
A. S. A. Mohamed et al., “Desalination process using humidification–dehumidification technique: a detailed review.” Int. J. Energy Res., vol. 45, no. 3, pp. 3698–3749, 2020, doi: 10.1002/er.6111.
“Dynamic growth for desalination and water reuse in 2019.” IDADESAL.org. https://idadesal.org/dynamic-growth-for-desalination-and-water-reuse-in-2019 (accessed Jan. 28, 2021).
F. Wunder et al., “Numerical simulation of heat transfer in a horizontal falling film evaporator of multiple-effect distillation,” Desalination, vol. 401, pp. 206–229, 2017, doi: 10.1016/j.desal.2016.09.020.
Y. Zhang et al., “Application of solar energy in water treatment processes: a review,” Desalination, vol. 428, pp. 116–145, 2018, doi: 10.1016/j.desal.2017.11.020.
Velmurugan et al., “Humidificaton–dehumidification desalination system: an overview,” Int. J. S. Res. Sci. Tech., vol. 4, no. 5, pp. 1163–1177, 2018.
I. Tlili et al., “Performance enhancement of a humidification–dehumidification desalination system,” J. Therm. Anal. Calorim., vol. 140, pp. 309–319, 2019, doi: 10.1007/s10973-019-08775-8.
V. Patel et al., “Experimental and theoretical evaluation of bubbler humidifier for humidification–dehumidification water desalination system,” Heat Mass Transf., vol. 55, pp. 3201–3210, 2019, doi: 10.1007/s00231-019-02659-1.
D. U. Lawal et al., “Experımental investigation of heat pump driven humidification–dehumidification desalination system for water desalination and space conditioning,” Desalination, vol. 475, pp. 114199, 2020, doi: 10.1016/j.desal.2019.114199.
P. P. Kudelia and S. V. Dubovskyi, “Energy and exergy approaches to problem of rational energy use,” Enerhetyka: ekonomika, tekhnolohii, ekolohiia, vol. 2, pp. 7–16, 2020.
“C++ library of properties for 122 components.” CoolProp.org. http://www.coolprop.org (accessed Jan. 28, 2021).

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§ 06 — Related

[1] F. Macedonio et al., “Efficient technologies for worldwide clean water supply,” Chem. Eng. Process., vol. 51, pp. 2–17, 2012, doi: 10.1016/j.cep.2011.09.011.

[2] “Nature-based solutions for water,” UNESCO, Paris, France, 2018. [Online]. Available: https://unesdoc.unesco.org/ark:/48223/pf0000261424 .

[3] T. Luo et al., “Aqueduct projected water stress country rankings,” World Resources Institute, Washington, D.C., USA, 2015. [Online]. Available: https://www.wri.org/data/aqueduct-projected-water-stress-country-rankings .

[4] “Форум з екології та сталого розвитку України 2021.” dpss.gov.ua.

[5] https://dpss.gov.ua/news/ukrayina-mozhe-zitknutisya-z-deficitom-yakisnoyi-pitnoyi-vodi-vladislava-magalecka (accessed Jan. 28, 2021).

[6] A. Subramani and J. G. Jacangelo, “Emerging desalination technologies for water treatment: a critical review,” Water Res., vol. 75, pp. 164–187, 2015, doi: 10.1016/j.watres.2015.02.032.

[7] Y. B. Karhe and P. V. Walke, “A solar desalination system using humidification-dehumidification process: a review of recent research,” Int. J. Mod. Eng. Res., vol. 3, no. 2, pp. 962–969, 2013.

[8] A. S. A. Mohamed et al., “Desalination process using humidification–dehumidification technique: a detailed review.” Int. J. Energy Res., vol. 45, no. 3, pp. 3698–3749, 2020, doi: 10.1002/er.6111.

[9] “Dynamic growth for desalination and water reuse in 2019.” IDADESAL.org. https://idadesal.org/dynamic-growth-for-desalination-and-water-reuse-in-2019 (accessed Jan. 28, 2021).

[10] F. Wunder et al., “Numerical simulation of heat transfer in a horizontal falling film evaporator of multiple-effect distillation,” Desalination, vol. 401, pp. 206–229, 2017, doi: 10.1016/j.desal.2016.09.020.

[11] Y. Zhang et al., “Application of solar energy in water treatment processes: a review,” Desalination, vol. 428, pp. 116–145, 2018, doi: 10.1016/j.desal.2017.11.020.

[12] Velmurugan et al., “Humidificaton–dehumidification desalination system: an overview,” Int. J. S. Res. Sci. Tech., vol. 4, no. 5, pp. 1163–1177, 2018.

[13] I. Tlili et al., “Performance enhancement of a humidification–dehumidification desalination system,” J. Therm. Anal. Calorim., vol. 140, pp. 309–319, 2019, doi: 10.1007/s10973-019-08775-8.

[14] V. Patel et al., “Experimental and theoretical evaluation of bubbler humidifier for humidification–dehumidification water desalination system,” Heat Mass Transf., vol. 55, pp. 3201–3210, 2019, doi: 10.1007/s00231-019-02659-1.

[15] D. U. Lawal et al., “Experımental investigation of heat pump driven humidification–dehumidification desalination system for water desalination and space conditioning,” Desalination, vol. 475, pp. 114199, 2020, doi: 10.1016/j.desal.2019.114199.

[16] P. P. Kudelia and S. V. Dubovskyi, “Energy and exergy approaches to problem of rational energy use,” Enerhetyka: ekonomika, tekhnolohii, ekolohiia, vol. 2, pp. 7–16, 2020.

[17] “C++ library of properties for 122 components.” CoolProp.org. http://www.coolprop.org (accessed Jan. 28, 2021).

Thermodynamic analysis of thermal desalination system with humidification–dehumidification cycle

Abstract

Keywords

References

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