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).

Previous in issue The use of self-fluxing alloys as a source of alloying elements in producing powder products of construction purpose from low-alloyed iron Next in issue Development and research of refrigeration cycle with biagent jet compressor

§ 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

Similar articles in this journal

METHODOLOGY FOR THE PARAMETRIC SYNTHESIS OF ZOOM-AFOCAL SYSTEMS BASED ON FIXED VARIOFOCAL LENSES

MODIFICATION OF THE SEPARABLE PHYSICS-INFORMED NEURAL NETWORK METHOD FOR THE APPROXIMATE SOLUTION OF A MIXED PROBLEM FOR THE HEAT CONDUCTION EQUATION IN AN ELLIPTICAL DOMAIN

TWO-STAGE SEGMENTATION PIPELINE FOR SATELLITE PARKING LOT PAVED AREA ESTIMATION

Similar Articles

Similar Articles

MACHINE LEARNING MODEL FOR RECOGNITION OF UKRAINIAN SIGN LANGUAGE HAND CONFIGURATIONS

SIMULATION MODEL OF A DIGITAL TWIN FOR AN NPP POWER UNIT TECHNOLOGICAL PROCESS

AUTONOMOUS INDEX RECOMMENDATION SYSTEM FOR RELATIONAL DATABASES BASED ON COST-MODEL AND PLAN COVERING

METHODOLOGY FOR SELECTING THE TRANSMISSION PATH STRUCTURE IN FUSION POWER PLANTS

MICROSERVICE ARCHITECTURE AND ALGORITHMS OF A MODULAR AUTOMATION SYSTEM FOR SMALL BUSINESS TECHNOLOGICAL PROCESSES

DEEP REINFORCEMENT LEARNING-BASED MAPLESS NAVIGATION ALGORITHM FOR HUSKY ROBOT WITH ADAPTIVE CURRICULUM LEARNING

AN APPROACH TO CONSTRUCTING AN INFORMATIVE FEATURE SPACE OF TECHNICAL INDICATORS FOR FINANCIAL PROCESSES BASED ON NEURAL NETWORK MODELS

ANALYSIS OF APPLICATION OF NEURAL NETWORKS TO IMPROVE THE RELIABILITY OF ACTIVE THERMAL NDT

SIMPLIFICATION OF THE MEASUREMENT MODEL IN ALGORITHM OF THE STRAPDOWN ATTITUDE AND HEADING REFERENCE SYSTEM BASED ON THE QUATERNION KALMAN FILTER

CALIBRATION METHOD FOR ANGULAR PARAMETERS OF THE EARTH’S REMOTE SENSING SCANNERS