Fluid Phase Detection via Tangent Plane Distance Analysis
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Solution Overview
Problem
Current systems face challenges in accurately predicting and detecting liquid phase splitting in thermodynamically unstable liquid mixtures, particularly in real-time, which hinders efficient process control in distillation and extraction processes.
Innovation Solution
A system that performs a fast and robust tangent plane distance analysis based on near-pure components, allowing for the selection of key liquid pairs and automatic correction of key orders, integrated with a graphical user interface for user input and simulation, to detect and prevent liquid phase switching and ensure accurate phase behavior prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current systems are used to detect liquid phase splitting, then the system structure is simple, but the measurement precision and reliability are insufficient for real-time detection
Solution Approach 1:
The system uses tangent plane distance analysis by changing thermodynamic parameters (temperature, pressure, composition) to detect phase splitting. The method calculates tangent plane distance values at different states to determine if phase splitting occurs, enabling accurate real-time detection through parameter monitoring rather than complex physical sensors
Solution Approach 2:
The patent replaces physical measurement devices with a computational model. Instead of using complex physical sensors and measurement apparatus to detect phase splitting, the system uses mathematical calculations (tangent plane distance analysis) based on thermodynamic parameters to determine phase behavior, substituting mechanical detection with computational analysis
2Measurement precision
If tangent plane distance analysis is performed on all components, then the measurement precision improves, but the productivity and calculation speed decrease
Solution Approach 1:
The system extracts and focuses only on key components that dominate each liquid phase rather than analyzing all components. By identifying and concentrating computational resources on the most influential components (those with highest concentrations in each phase), the method achieves accurate phase detection while significantly reducing calculation time and improving productivity
Solution Approach 2:
The analysis is segmented into two main parts: first performing tangent plane distance analysis to identify potential phase splitting, then focusing detailed analysis only on key components. This segmentation allows the system to maintain measurement precision for critical phases while improving overall calculation efficiency by avoiding unnecessary analysis of all components
3Ease of operation
If the system automatically determines key components, then the ease of operation improves, but the reliability may decrease without user verification
Solution Approach 1:
The system provides feedback to users by displaying automatically determined key components and their basis (tangent plane distance values, molecular weights). Users can review these results and provide corrections if needed, creating a feedback loop that maintains ease of operation while ensuring reliability through user verification when necessary
Solution Approach 2:
The system performs preliminary automatic determination of key components before final analysis, providing a preliminary result that users can review. This preliminary action reduces the need for extensive user input while maintaining reliability, as users only need to verify or correct the pre-determined keys rather than selecting them from scratch
Data Source
AI summary
In some embodiments, the disclosure is directed to a system for simulating multiple components and phases for fluid phase detection. In some embodiments, the system is configured to execute fast iterations under given temperature, pressure, and feed, with liquid phases starting from 100% purity of a corresponding key component. In some embodiments, the system is configured to apply a direct substitution method with relaxation damping for iterations at fixed conditions. In some embodiments, the system is configured to draw a tangent plane from a suspicious phase composition and execute a tangent plane distance analysis at a potentially missed physical phase by estimating 95% to 99.9999% purity of a possible liquid key component. In some embodiments, the system is configured to automatically correct the order of key components for simulations, based on analyses such as tangent plane distance analysis, immiscibility checks, and the exclusion of Henry components.