Moisture Content Estimation in Gas Sample Handling Systems
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Solution Overview
Problem
Existing Sample Handling Systems (SHS) for gas analysis face challenges in accurately estimating moisture content in gas mixtures without incurring additional costs, as conventional methods rely on hardware-based moisture sensors that increase costs and may require design changes.
Innovation Solution
A system comprising a data pre-processing module and a moisture content estimation module that analyzes measurements from the SHS, determines thermodynamic properties, heat transfer coefficients, and mass transfer coefficients, calculates the surface area of the gas cooler, and estimates moisture content by comparing calculated and actual surface areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If hardware-based moisture sensors are implemented in the SHS to monitor and estimate moisture content, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces hardware-based moisture sensors with a computational method that uses existing SHS data (temperature, pressure, flow rates) and thermodynamic calculations to estimate moisture content. This substitutes physical measurement devices with an information-processing system, eliminating the need for additional sensors while maintaining measurement capability.
Solution Approach 2:
The SHS uses its own existing operational data (temperature measurements from the gas cooler, pressure, flow rates) to estimate moisture content through computational fluid dynamics and thermodynamic property calculations. The system serves itself by deriving moisture information from data it already collects during normal operation, without requiring external sensing hardware.
2Measurement precision
If hardware-based moisture sensors are implemented in the SHS to monitor and estimate moisture content, then measurement precision is improved, but cost increases
Solution Approach 1:
The patent replaces expensive hardware moisture sensors with a computational approach that uses free or low-cost data processing. The system leverages existing operational data and thermodynamic calculations, which can be performed using standard computational tools, thereby dramatically reducing the cost of moisture content measurement.
Solution Approach 2:
The patent substitutes physical sensor hardware with an information-processing system that calculates moisture content from existing SHS data. This replacement eliminates the need to purchase, install, and maintain expensive moisture sensors while providing continuous moisture content estimation.
3Productivity
If conventional equipment (gas cooler, coalescence filter, thermoelectric condenser) is used to remove moisture, then productivity is improved, but measurement precision of remaining moisture content is insufficient
Solution Approach 1:
The patent implements a feedback mechanism where the estimated moisture content (calculated from SHS operational data) is used to monitor the effectiveness of the gas cooler and other moisture removal equipment. This feedback loop allows the system to assess whether the conventional equipment is achieving the desired moisture removal and to identify when maintenance or optimization is needed.
Solution Approach 2:
The patent replaces direct physical measurement of moisture content with a computational estimation system that uses thermodynamic calculations and existing operational data. This substitution provides continuous, accurate moisture content information without requiring additional measurement hardware in the moisture removal pathway.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for accurate estimation of moisture content without additional hardware costs, improving the reliability of gas analyzer readings and enabling predictive diagnostic solutions for SHS faults.
Implementation Method 1
a gas cooler (104, 204, 400)... cooling the gas mixture to condense the moisture
Implementation Method 2
cooling the gas mixture to condense the moisture and removing the condensate
Implementation Method 3
determining thermodynamic properties, heat transfer coefficient (U) and mass transfer coefficient (K) of the gas mixture
Data Source
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AI summary
The present invention discloses a system 200 and a method for estimating moisture content of a gas mixture in a Sample Handling System 100. The system 200 includes a data pre-processing module 212 and a moisture content estimation module 214. The data pre-processing module 212 is configured to receive data 211 comprising measurements (M1-M6, S1) of the SHS 100, and a plurality of parameters related to the gas mixture. The data pre-processing module 212 is configured to analyze the data 211 to remove one or more anomalies from the data 211. The moisture content estimation module 214 is configured to calculate a surface area of the gas cooler based on the analyzed data and a determined thermodynamic properties, heat transfer coefficient (U) and mass transfer coefficient (K) of the gas mixture to estimate the moisture content of the gas mixture at an inlet and outlet of a gas cooler.