Modelling the Natural Evaporation of the Concentrated Seawater after Desalinized

Xue Kui Wang; Ying Zhou; Ling Li; Tian Cheng Gao; Na Tang

doi:10.4028/www.scientific.net/AMM.713-715.2989

Paper Titles

The Study of Electronic Density of States and Optical Properties of ZnO Nanotube by First-Principles
p.2966

A Study on the Carbon Emissions Calculation Model of Iron and Steel Products Based on EIO-LCA
p.2970

Research on the W/O Emulsion Stability Influenced by the Content of Salt and Surfactants
p.2975

Analysis of Optimization about the Wall Temperature of the Biomass Fuel Hot Stove
p.2981

Study on the Relationship between Meteorological Conditions and Brine Evaporation Rate
p.2985

Modelling the Natural Evaporation of the Concentrated Seawater after Desalinized
p.2989

Pyrolysis Characteristics and Kinetics of Walnut Shell
p.2993

Ultrasonic Assisted Extraction Process Optimization of Malabar Spinach Seed Oil and GC-MS Analysis
p.2997

Critical Soldering Interconnect Technology in SMT
p.3001

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Modelling the Natural Evaporation of the...

Modelling the Natural Evaporation of the Concentrated Seawater after Desalinized

Abstract:

The influence of natural evaporation factors (the irradiation intensity, speed of the wind, temperature of the brine, temperature and relative humidity of the air) on the desalinated seawater evaporation rate was measured experimentally. A natural evaporation model was built by correlating the experimental data using the artificial neural network. This model was well correlated with the influence of natural evaporation factors, and it showed a good agreement of the results and evaporation theory.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

2989-2992

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.2989

Citation:

Cite this paper

Online since:

January 2015

Authors:

Xue Kui Wang, Ying Zhou, Ling Li, Tian Cheng Gao, Na Tang*

Keywords:

Desalinated Seawater, Evaporation Rate, Model, Natural Evaporation, Neural Network

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Kalogirou S A, Seawater desalination using renewable energy sources, J. Progress in Energy and Combustion Science, 31 (2005) 242-281.

DOI: 10.1016/j.pecs.2005.03.001

Google Scholar

[2] P. Gamazo, S.A. Bea, M.W. Saaltink, J. Carrera, C. Ayora. Modeling the interaction between evaporation and chemical composition in a natural saline system, J. Hydrology, 401 (2011) 154.

DOI: 10.1016/j.jhydrol.2011.02.018

Google Scholar

[3] Wen Qi, Mianping Zhen. Rates of Evaporation from Saline Lakes on the Tibetan Plateau: an Approach to Measurements and Calculations, J. Acta Geologica Sinica, 81 (2007) 1727-1733.

Google Scholar

[4] Chr. Boyadjiev, B. Boyadjiev. On the non-stationary evaporation kinetics. I. Mathematical model and experimental data, J. International Journal of Heat and Mass Transfer 46 (2003) 1679–1685.

DOI: 10.1016/s0017-9310(02)00467-2

Google Scholar

[5] Benne M, Grondin-perez B, Chabriat J P, et al. Artificial Neural Networks for Modelling and Predictive Control of an Industrial Evaporation process, J. Journal of Food Engineering, Vol. 46 (2000) No. 4, 227-234.

DOI: 10.1016/s0260-8774(00)00055-8

Google Scholar

[6] Norgaard M. Neural network based system identification toolbox, R. Department of Automation, Technical University of Denmark, 2000.

Google Scholar

[7] A. Moghaddamnia, M. Ghafari Gousheh, J. Piri, S. Amin, D. Han. Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques, J. Advances in Water Resources 32 (2009) 88–97.

DOI: 10.1016/j.advwatres.2008.10.005

Google Scholar