Prediction model to analyze the performance of VMD desalination process

被引：27

作者：

Yang, Chaohuan ^{[1
,3
,4
]}

Peng, Xin ^{[2
]}

Zhao, Yajing ^{[1
,3
]}

Wang, Xin ^{[1
,3
]}

Fu, Jingxia ^{[1
,3
]}

Liu, Kai ^{[1
,3
]}

Li, Yingdong ^{[1
,3
]}

Li, Pingli ^{[1
,3
]}

机构：

[1] Tianjin Univ, Chem Engn Res Ctr, Sch Chem Engn & Technol, Tianjin 300350, Peoples R China

[2] Tianjin Univ, Sch Life Sci, Tianjin 300350, Peoples R China

[3] Tianjin State Key Lab Membrane Sci & Desalinat Te, Tianjin 300350, Peoples R China

[4] Qingdao Conson Oceantec Valley Dev Co Ltd, Qingdao 266000, Shandong, Peoples R China

来源：

COMPUTERS & CHEMICAL ENGINEERING | 2020年 / 132卷

关键词：

Vacuum membrane distillation; Desalination; Artificial neural network; Machine learning; VACUUM MEMBRANE DISTILLATION; NEURAL-NETWORK MODEL; OPTIMIZATION; SIMULATION; AGMD; DCMD; UNIT;

D O I：

10.1016/j.compchemeng.2019.106619

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The performance of vacuum membrane distillation process (VMD) including permeate flux and specific heat energy consumption (SHEC) under different feed inlet temperature, feed flow rate and membrane length was modeled by Artificial Neural Network (ANN) based on 36 different experimental VMD tests. It was found that the ANN model could obtain reliable data to forecast the behavior of the hollow membrane module for the whole range of input variables. The binary interaction impacts of the variables on the performance index were discussed and the objective was significantly affected by the interaction impacts of the variables. In this study, ANN model showed the potential to evaluate VMD performance successfully. (C) 2019 Elsevier Ltd. All rights reserved.

引用

页数：7

共 50 条

[1] Prediction model to analyze the performance of VMD desalination process
Yang, Chaohuan
Peng, Xin
Zhao, Yajing
Wang, Xin
Fu, Jingxia
Liu, Kai
Li, Yingdong
Li, Pingli
Computers and Chemical Engineering, 2020, 132
[2] Performance simulation of a multi-VMD desalination process including the recycle flow
Shim, S. M.
Lee, J. G.
Kim, W. S.
DESALINATION, 2014, 338 : 39 - 48
[3] Modeling and simulation of VMD desalination process by ANN
Cao, Wensheng
Liu, Qiang
Wang, Yongqing
Mujtaba, Iqbal M.
COMPUTERS & CHEMICAL ENGINEERING, 2016, 84 : 96 - 103
[4] A Prototypical Simulation Model to Analyze the Business Process Performance
Schmietendorf, Andreas
End, Andreas
SOFTWARE PROCESS AND PRODUCT MEASUREMENT, PROCEEDINGS, 2009, 5891 : 130 - +
[5] Performance of vacuum poly(propylene) membrane distillation (VMD) for saline water desalination
Alsalhy, Qusay F.
Ibrahim, Salah S.
Khaleel, Samraa R.
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2017, 120 : 68 - 80
[6] Mathematical model on a desalination process
Al-Samawi, A.A.
Journal of Environmental Science and Health, Part A: Environmental Science and Engineering, 1994, 29 (04): : 671 - 685
[7] Prediction performance of RO desalination plants
Al-Mutaz, IS
Al-Sultan, BA
DESALINATION, 1998, 120 (1-2) : 153 - 160
[8] A Comprehensive Review of AI Algorithms for Performance Prediction, Optimization, and Process Control in Desalination Systems
Ibnouf, Mahmoud
Jaber, Hadi
Abukhalifeh, Hadil
Ghazal, Mohammed
Ramadan, Mohamad
Alkhedher, Mohammad
DESALINATION AND WATER TREATMENT, 2025, 321
[9] A fouling model for simulating long-term performance of SWRO desalination process
Lee, Young Geun
Lee, Yun Seok
Kim, Do Yeon
Park, Minkyu
Yang, Dae Ryook
Kim, Joon Ha
JOURNAL OF MEMBRANE SCIENCE, 2012, 401 : 282 - 291
[10] A fouling model for simulating long-term performance of SWRO desalination process
Lee, Young Geun
Lee, Yun Seok
Kim, Do Yeon
Park, Minkyu
Yang, Dae Ryook
Kim, Joon Ha
Journal of Membrane Science, 2012, 401-402 : 282 - 291

← 1 2 3 4 5 →