scholarly journals Analysis of long-term performance of full-scale reverse osmosis desalination plant using artificial neural network and tree model

2019 ◽  
Vol 25 (5) ◽  
pp. 763-770 ◽  
Author(s):  
Yongjun Choi ◽  
Younggeun Lee ◽  
Kwanghee Shin ◽  
Youngkyu Park ◽  
Sangho Lee
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Reverse Osmosis ◽  
Full Scale ◽  
Tree Model ◽  
Desalination Plant ◽  
Long Term Performance ◽  
Term Performance ◽  
Reverse Osmosis Desalination

The reverse osmosis (RO) technology is currently the leading desalination method. However, until recently, application of RO technology on a large scale has been primarily limited by membrane fouling. The mechanism of fouling is complex, which is not well understood in full-scale plants. Although many studies about modeling and prediction of fouling have been done, in most cases, the experimental data set of lab or pilot scale systems, which may not show fouling characteristics well in full-scale systems were used. In this study, both artificial neural network (ANN) model and tree model (TM) was evaluated to analyze long-term performance of full scale reverse osmosis desalination plant. The results of application of the ANN and TM indicated high correlation coefficients between the measured and simulated output variables. However, it is not easy to use ANN for the full scale plant operation because the final model is not expressed as a form of mathematical functions. TM has advantages over ANN because the model can be obtained as forms of simple function and it showed reasonably high <i>R</i><sup>2</sup>. Therefore, TM is shown to be more adequate than ANN for developing models in which the full-scale RO plant data is considered as an input.

scholarly journals Full-Scale Seawater Reverse Osmosis Desalination Plant Simulator

2020 ◽  
Vol 53 (2) ◽  
pp. 16561-16568
Author(s):  
Mariam Elnour ◽  
Nader Meskin ◽  
Khlaed M. Khan ◽  
Raj Jain ◽  
Syed Zaidi ◽  
...  
Keyword(s):  
Reverse Osmosis ◽  
Full Scale ◽  
Desalination Plant ◽  
Seawater Reverse Osmosis ◽  
Reverse Osmosis Desalination

scholarly journals Comparative Study of Denitrifying-MBBRs with Different Polyethylene Carriers for Advanced Nitrogen Removal of Real Reverse Osmosis Concentrate

2020 ◽  
Vol 17 (8) ◽  
pp. 2667
Author(s):  
Tong Wang ◽  
Tong Wu ◽  
Haiyan Wang ◽  
Weiyang Dong ◽  
Yaqian Zhao ◽  
...  
Keyword(s):  
Reverse Osmosis ◽  
High Strength ◽  
Biofilm Reactors ◽  
Treated Effluent ◽  
N Removal ◽  
Entire Experiment ◽  
Advanced Nitrogen Removal ◽  
Long Term Performance ◽  
Term Performance

Nitrogen (N) remains a great challenge in wastewater treatment while attempts to remove N has continuously been a research point for decades. In this study, the long-term performance of four identical-shape denitrification MBBRs (moving bed biofilm reactors) with four different configurations of cylindrical polyethylene as carriers (Φ25 × 12, Φ25 × 4, Φ15 × 15, and Φ10 × 7 mm) for advanced N removal of real reverse osmosis concentrate was investigated in great detail. The N of the real concentrate can be effectively removed by denitrification MBBRs when the pH, temperature, hydraulic retention time (HRT), C/N ratio, and filling rate are 7.50–8.10, 24~26 °C, 12 hours, 6.6, and 50%, respectively. The results showed that the MBBR with the Φ15 × 15 poly-carrier had the best removal efficiency on NO3-–N (78.0 ± 15.8%), NO2-–N (43.79 ± 9.30%), NH4+–N (55.56 ± 22.28%), and TN (68.9 ± 12.4%). The highest biomass of 2.13 mg/g-carrier was in the Φ15 × 15 poly-carrier was compared with the other three carriers, while the genes of the Φ15 × 15 poly-carrier reactor were also the most abundant. Proteobacteria was the most abundant phylum in the system followed by Bacteroidetes and then Firmicutes. The entire experiment with various parameter examination supported that Φ15 × 15 poly-carrier MBBR was a promising system for N removal in high strength concentrate. Despite the lab-scale trial, the successful treatment of high strength real reverse osmosis concentrate demonstrated the reality of the treated effluent as possible reclaimed water, thus providing a good showcase of N-rich reverse osmosis concentrate purification in practical application.

scholarly journals Performance Analysis of a Full-Scale Desalination Plant with Reverse Osmosis Membranes for Irrigation

Membranes ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 774
Author(s):  
Federico Leon ◽  
Alejandro Ramos
Keyword(s):  
Reverse Osmosis ◽  
Specific Energy Consumption ◽  
Production Capacity ◽  
Pressure Vessels ◽  
Full Scale ◽  
Operating Data ◽  
Term Operation ◽  
Desalination Plant ◽  
Pre Treatment

Reverse osmosis (RO) is the most widely used technology for seawater desalination purposes. The long-term operating data of full-scale plants is key to analyse their performance under real conditions. The studied seawater reverse osmosis (SWRO) desalination plant had a production capacity of 5000 m3/d for irrigation purposes. The operating data such as conductivities flows, and pressures were collected for around 27,000 h for 4 years. The plant had sand and cartridge filters without chemical dosing in the pre-treatment stage, a RO system with one stage, 56 pressure vessels, seven RO membrane elements per pressure vessel and a Pelton turbine as energy recovery device. The operating data allowed to calculate the average water and salt permeability coefficients (A and B) of the membrane as well as the specific energy consumption (SEC) along the operating period. The calculation of the average A in long-term operation allowed to fit the parameters of three different models used to predict the mentioned parameter. The results showed a 30% decrease of A, parameter B increase around 70%. The SEC was between 3.75 and 4.25 kWh/m3. The three models fitted quite well to the experimental data with standard deviations between 0.0011 and 0.0015.

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