Predictive Analysis for SWRO Desalination Membrane Maintenance
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Solution Overview
Problem
Seawater reverse osmosis (SWRO) desalination plants face high operational costs due to frequent membrane replacement and inefficient fouling removal procedures, which are time-consuming and dependent on sophisticated instruments not readily available in all plants.
Innovation Solution
A predictive analysis system and method that uses processors to receive and analyze data from SWRO plants, applying normalization and trend recognition techniques to determine membrane performance parameters and diagnostic indicators, generating cleaning-in-place (CIP) predictions and recommendations for optimizing membrane maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional membrane autopsy procedures are used to investigate foulant type, then accurate diagnosis can be achieved, but the process requires sophisticated instruments that are not readily available and takes a large amount of time
Solution Approach 1:
The patent creates a virtual copy of the complex autopsy procedure through a diagnostic model that replicates foulant identification capabilities using simple, readily available plant instrumentation. The model copies the diagnostic functionality of sophisticated instruments through mathematical relationships between easily measurable parameters (pressure, flow, temperature) and foulant characteristics, eliminating the need for physical sophisticated instruments while maintaining diagnostic accuracy.
Solution Approach 2:
The patent replaces the physical mechanical/chemical autopsy system (requiring sophisticated instruments like microscopes, chromatographs, and spectrometers) with a computational diagnostic model. The model substitutes complex physical measurement systems with algorithmic processing of basic operational data, transforming a instrument-dependent physical process into an information-processing task that can be performed with standard plant instrumentation and computing resources.
2Reliability
If membrane replacement is performed frequently to ensure performance, then reliability is improved, but operational costs increase substantially
Solution Approach 1:
The patent performs preliminary diagnostic assessment of membrane foulant type and condition before replacement decisions are made. By identifying the specific foulant type early and assessing the actual membrane condition through the diagnostic model, the system enables proactive maintenance planning that avoids premature replacement. This preliminary action allows operators to distinguish between membranes that can be effectively cleaned and those that truly require replacement, optimizing the timing and necessity of replacement actions.
Solution Approach 2:
The patent implements a feedback mechanism where diagnostic information about membrane condition and foulant type continuously informs replacement decisions. The system monitors performance parameters, diagnoses foulant characteristics, and uses this feedback to determine optimal replacement timing. This closed-loop feedback replaces the open-loop approach of fixed-schedule replacement, ensuring membranes are replaced based on actual condition rather than arbitrary time intervals, thereby maintaining reliability while reducing unnecessary replacements and associated costs.
3Reliability
If cleaning procedures are performed frequently to remove fouling, then membrane performance is maintained, but the procedures become inefficient and time-consuming
Solution Approach 1:
The patent performs preliminary diagnosis of foulant type before initiating cleaning procedures. By identifying the specific foulant type (organic, inorganic, biological, etc.) in advance, the system can pre-select the most effective cleaning chemistry and parameters. This preliminary action prevents trial-and-error cleaning approaches, ensuring that the first cleaning attempt uses the correct methodology, thereby reducing the number of cleaning cycles needed and improving overall cleaning efficiency.
Solution Approach 2:
The patent adjusts cleaning procedure parameters (chemical composition, temperature, pressure, contact time) based on the diagnosed foulant type. Different foulants require different cleaning parameters for optimal removal. The system dynamically changes these parameters according to the specific foulant identified, rather than using fixed, conservative cleaning parameters for all cases. This parameter optimization reduces cleaning time and chemical consumption while maintaining effective foulant removal, thereby improving cleaning productivity.
Data Source
AI summary
A system and method for predictive analysis of Seawater Reverse Osmosis (SWRO) desalination plants receives first data associated with a SWRO plant, including a first set of parameters associated with seawater, a second set of parameters associated with a permeate, and a third set of parameters associated with a brine. The system determines a fourth set of parameters by applying normalization techniques to the received first data. The system determines, based upon the fourth set of parameters, a set of membrane performance parameters associated with the SWRO plant, or a set of diagnostic indicators associated with at least one of the SWRO plant and the seawater. The system outputs the determined set of membrane performance parameters or the set of diagnostic indicators.