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A new approach for optimization of small-scale RO membrane using artificial groundwater
Manoj Chandra Garg1, Himanshu Joshi
1a Department of Hydrology , Indian Institute of Technology Roorkee , Roorkee , India.
Environmental Technology
|September 6, 2014
Summary
This study optimized brackish water reverse osmosis (RO) using response surface methodology (RSM). The findings show optimal conditions for maximizing water recovery and salt rejection while minimizing energy consumption in RO systems.
Area of Science:
- Environmental Engineering
- Water Treatment Technologies
Background:
- Brackish water desalination is crucial for water security.
- Reverse Osmosis (RO) is a key technology, but requires optimization for efficiency.
Purpose of the Study:
- To optimize a small-scale brackish water RO process.
- To maximize water recovery and salt rejection while minimizing energy demand.
Main Methods:
- Response Surface Methodology (RSM) for parameter optimization.
- Development of a predictive model using RSM.
- Confirmation of RSM predictions using Artificial Neural Network (ANN) models.
Main Results:
- Optimal conditions identified for water recovery (19.18%), salt rejection (89.21%), and energy consumption (17.60 kWh/m³).
- Optimal parameters include feed water temperature (31.94 °C), feed pressure (0.78 MPa), feed salt concentration (1500 mg/L), and pH (6.53).
- RSM and ANN models showed comparable and accurate predictions.
Conclusions:
- The developed methodology provides a generalized approach for optimizing RO membranes.
- Achieving high water recovery and salt rejection with reduced energy consumption enhances commercial viability.
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