Numerical modeling based machine learning approach for the optimization of falling - film evaporator in thermal desalination application

Shahane, Shantanu; Jin, Hong-Qing; Wang, Sophie; Nawaz, Kashif

doi:10.1016/j.ijheatmasstransfer.2022.123223

Title: Numerical modeling based machine learning approach for the optimization of falling - film evaporator in thermal desalination application

Journal Article · 21 July 2022 · International Journal of Heat and Mass Transfer

DOI: https://doi.org/10.1016/j.ijheatmasstransfer.2022.123223 · OSTI ID:2000285

Shahane, Shantanu ^[1];

^[1];

^[2]

Univ. of Illinois at Urbana-Champaign, IL (United States)
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Scale formation that drastically increases thermal resistance and reduces freshwater production remains a critical challenge in thermal desalination. Novel designs of falling film evaporator and optimal operating condition hold great promise to mitigate scale formation, and increase heat transfer performance and fresh water production. In this work, CFD simulation based machine learning and multi-objective optimization are performed to identify optimal conditions and tube arrangement for evaporator. Non-dominated sorting genetic algorithm is adopted to determine and analyze the optimal pareto front for multiple objectives in desalination criteria. The errors of training, validation, and testing set are computed to identify an optimal hyperparameter set. For performance ratio, fouling resistance, and water production rate, the average relative error is 2.26%, 3.67%, and 3.24%. At pareto front, both performance ratio and water production rate increase at high temperature with fouling resistance (thermal resistance of the fouling layer) increasing as well. Tradeoffs between mitigating scale formation and enhancing desalination performance are evaluated in optimizations for different objectives. Finally, potential optima are identified and can be applied as guidelines to determine evaporator design and system operating conditions.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); University of Illinois at Urbana-Champaign, IL (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office

Grant/Contract Number:: AC05-00OR22725; EE0008392

OSTI ID:: 2000285

Journal Information:: International Journal of Heat and Mass Transfer, Journal Name: International Journal of Heat and Mass Transfer Vol. 196; ISSN 0017-9310

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (36)

Polymer Film Heat Transfer Surfaces in Seawater Desalination: Fouling Layer Formation and Technology Kiepfer, Hendrik; Omar, Waid; Schröder, Timo Chemical Engineering & Technology, Vol. 43, Issue 6 https://doi.org/10.1002/ceat.201900492	journal	February 2020
Fouling of heat transfer surfaces Bohnet, Matthias Chemical Engineering & Technology - CET, Vol. 10, Issue 1 https://doi.org/10.1002/ceat.270100115	journal	January 1987
An explicit approximation for the wetted angle in two-Phase stratified pipe flow Biberg, Dag The Canadian Journal of Chemical Engineering, Vol. 77, Issue 6 https://doi.org/10.1002/cjce.5450770619	journal	December 1999
Calculation of void volume fraction in the subcooled and quality boiling regions Rouhani, S. Z.; Axelsson, E. International Journal of Heat and Mass Transfer, Vol. 13, Issue 2 https://doi.org/10.1016/0017-9310(70)90114-6	journal	February 1970
Basic hydrodynamic aspects of a solar energy based desalination process Bemporad, G. A. Solar Energy, Vol. 54, Issue 2 https://doi.org/10.1016/0038-092X(94)00110-Y	journal	February 1995
Multi-effect distillation plants: state of the art Al-Shammiri, M.; Safar, M. Desalination, Vol. 126, Issue 1-3 https://doi.org/10.1016/S0011-9164(99)00154-X	journal	November 1999
Hybridization of a multi-objective genetic algorithm, a neural network and a classical optimizer for a complex design problem in fluid dynamics Poloni, Carlo; Giurgevich, Andrea; Onesti, Luka Computer Methods in Applied Mechanics and Engineering, Vol. 186, Issue 2-4 https://doi.org/10.1016/S0045-7825(99)00394-1	journal	June 2000
Influence of the adhesion force crystal/heat exchanger surface on fouling mitigation Förster, M.; Augustin, W.; Bohnet, M. Chemical Engineering and Processing: Process Intensification, Vol. 38, Issue 4-6 https://doi.org/10.1016/S0255-2701(99)00042-2	journal	September 1999
Aspects of crystallization fouling Bott, T. R. Experimental Thermal and Fluid Science, Vol. 14, Issue 4 https://doi.org/10.1016/S0894-1777(96)00137-9	journal	May 1997
Numerical simulation of the fouling process Brahim, Fahmi; Augustin, Wolfgang; Bohnet, Matthias International Journal of Thermal Sciences, Vol. 42, Issue 3 https://doi.org/10.1016/S1290-0729(02)00021-2	journal	March 2003
Optimization of falling film thermosyphons bundle arrangement for large-scale cooling applications by genetic algorithm Zhong, Wei; Cao, Xiaoling; Yuan, Yanping Applied Thermal Engineering, Vol. 169 https://doi.org/10.1016/j.applthermaleng.2019.114892	journal	March 2020
Incorporation of surface energy properties into general crystallization fouling model for heat transfer surfaces Nikoo, Amir Hossein; Malayeri, Mohammad Reza Chemical Engineering Science, Vol. 215 https://doi.org/10.1016/j.ces.2019.115461	journal	April 2020
Performance analysis of combined humidified gas turbine power generation and multi-effect thermal vapor compression desalination systems — Part 1: The desalination unit and its combination with a steam-injected gas turbine power system Wang, Yongqing; Lior, Noam Desalination, Vol. 196, Issue 1-3 https://doi.org/10.1016/j.desal.2006.01.010	journal	September 2006
Modeling of alkaline scale formation in falling film horizontal-tube multiple-effect distillers Eid Al-Rawajfeh, Aiman Desalination, Vol. 205, Issue 1-3 https://doi.org/10.1016/j.desal.2006.04.044	journal	February 2007
Dynamic modelling of Heat Exchanger fouling in multistage flash (MSF) desalination Alsadaie, Salih M.; Mujtaba, Iqbal M. Desalination, Vol. 409 https://doi.org/10.1016/j.desal.2017.01.020	journal	May 2017
Optimal operating conditions analysis for a multi-effect distillation plant according to energetic and exergetic criteria. Carballo, Jose A.; Bonilla, Javier; Roca, Lidia Desalination, Vol. 435 https://doi.org/10.1016/j.desal.2017.12.013	journal	June 2018
Modelling and Pareto optimization of heat transfer and flow coefficients in microchannels using GMDH type neural networks and genetic algorithms Amanifard, N.; Nariman-Zadeh, N.; Borji, M. Energy Conversion and Management, Vol. 49, Issue 2 https://doi.org/10.1016/j.enconman.2007.06.002	journal	February 2008
Multi-objective optimization using MS Excel with an application to design of a falling-film evaporator system Sharma, S.; Rangaiah, G. P.; Cheah, K. S. Food and Bioproducts Processing, Vol. 90, Issue 2 https://doi.org/10.1016/j.fbp.2011.02.005	journal	April 2012
Numerical simulation and performance analysis of horizontal-tube falling-film evaporators in seawater desalination Hou, Hao; Bi, Qincheng; Zhang, Xiaolan International Communications in Heat and Mass Transfer, Vol. 39, Issue 1 https://doi.org/10.1016/j.icheatmasstransfer.2011.08.023	journal	January 2012
Modeling CaCO3 crystallization fouling on a heat exchanger surface – Definition of fouling layer properties and model parameters Pääkkönen, T. M.; Riihimäki, M.; Simonson, C. J. International Journal of Heat and Mass Transfer, Vol. 83 https://doi.org/10.1016/j.ijheatmasstransfer.2014.11.073	journal	April 2015
Circumferential distribution of local heat transfer coefficient during steam stratified flow condensation in vacuum horizontal tube Shen, Shengqiang; Wang, Yaoxuan; Yuan, Dayuan International Journal of Heat and Mass Transfer, Vol. 114 https://doi.org/10.1016/j.ijheatmasstransfer.2017.06.042	journal	November 2017
Experimental study of heat transfer and scale formation of spiral grooved tube in the falling film distilled desalination Qi, Chun-hua; Han, Xu; Lv, Hong-qing International Journal of Heat and Mass Transfer, Vol. 119 https://doi.org/10.1016/j.ijheatmasstransfer.2017.11.148	journal	April 2018
Uncertainty quantification in three dimensional natural convection using polynomial chaos expansion and deep neural networks Shahane, Shantanu; Aluru, Narayana R.; Vanka, Surya Pratap International Journal of Heat and Mass Transfer, Vol. 139 https://doi.org/10.1016/j.ijheatmasstransfer.2019.05.014	journal	August 2019
Machine learning algorithms to predict flow condensation heat transfer coefficient in mini/micro-channel utilizing universal data Zhou, Liwei; Garg, Deepak; Qiu, Yue International Journal of Heat and Mass Transfer, Vol. 162 https://doi.org/10.1016/j.ijheatmasstransfer.2020.120351	journal	December 2020
Modeling of crystallization fouling on a horizontal-tube falling-film evaporator for thermal desalination Jin, Hong-Qing; Shahane, Shantanu; Zhang, Yuheng International Journal of Heat and Mass Transfer, Vol. 178 https://doi.org/10.1016/j.ijheatmasstransfer.2021.121596	journal	October 2021
Learning new physical descriptors from reduced-order analysis of bubble dynamics in boiling heat transfer Rokoni, Arif; Zhang, Lige; Soori, Tejaswi International Journal of Heat and Mass Transfer, Vol. 186 https://doi.org/10.1016/j.ijheatmasstransfer.2021.122501	journal	May 2022
Falling-film evaporation on horizontal tubes—a critical review Ribatski, Gherhardt; Jacobi, Anthony M. International Journal of Refrigeration, Vol. 28, Issue 5 https://doi.org/10.1016/j.ijrefrig.2004.12.002	journal	August 2005
Optimization of solidification in die casting using numerical simulations and machine learning Shahane, Shantanu; Aluru, Narayana; Ferreira, Placid Journal of Manufacturing Processes, Vol. 51 https://doi.org/10.1016/j.jmapro.2020.01.016	journal	March 2020
Machine learning modeling and genetic algorithm-based optimization of a novel pilot-scale thermosyphon-assisted falling film distillation unit Battisti, Rodrigo; Claumann, Carlos Alberto; Manenti, Flavio Separation and Purification Technology, Vol. 259 https://doi.org/10.1016/j.seppur.2020.118122	journal	March 2021
Falling Liquid Film Evaporation in Subcooled and Saturated Water Over Horizontal Heated Tubes Narváez-Romo, Beethoven; Simões-Moreira, José R. Heat Transfer Engineering, Vol. 38, Issue 3 https://doi.org/10.1080/01457632.2016.1189275	journal	September 2016
Impact of Tube Surface Properties on Crystallization Fouling in Falling Film Evaporators for Seawater Desalination Stärk, Alexander; Krömer, Kerstin; Loisel, Katell Heat Transfer Engineering, Vol. 38, Issue 7-8 https://doi.org/10.1080/01457632.2016.1206418	journal	June 2016
Thinking about Heat Transfer Fouling: A 5 × 5 Matrix Epstein, Norman Heat Transfer Engineering, Vol. 4, Issue 1 https://doi.org/10.1080/01457638108939594	journal	January 1983
A fast and elitist multiobjective genetic algorithm: NSGA-II Deb, K.; Pratap, A.; Agarwal, S. IEEE Transactions on Evolutionary Computation, Vol. 6, Issue 2 https://doi.org/10.1109/4235.996017	journal	April 2002
Transport phenomena Bird, R. Byron Applied Mechanics Reviews, Vol. 55, Issue 1 https://doi.org/10.1115/1.1424298	journal	January 2002
The Intertube Falling Film: Part 1—Flow Characteristics, Mode Transitions, and Hysteresis Hu, X.; Jacobi, A. M. Journal of Heat Transfer, Vol. 118, Issue 3 https://doi.org/10.1115/1.2822676	journal	August 1996
Review on CFD analysis of horizontal falling film evaporators in multi effect desalination plants Tahir, Furqan; Mabrouk, Abdelnasser; Koc, Muammer DESALINATION AND WATER TREATMENT, Vol. 166 https://doi.org/10.5004/dwt.2019.24487	journal	January 2019

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