Emission Source Quantification via Virtual Sampling Arcs
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Solution Overview
Problem
Current air monitoring methods for quantifying emission sources are often inaccurate, complex, and require skilled professionals, as they struggle to precisely measure and visualize airborne contaminants, which are often imperceptible and difficult to discern.
Innovation Solution
A system utilizing a sampling tower with vertically aligned sampling points and open-path gas detectors, combined with data processing that accounts for wind speed and direction variability, constructs virtual sampling arcs and grids to quantify emission sources by correlating emission concentrations with wind data, thereby approximating plume shape and emission rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If simple monitoring methods are used, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The system divides the monitoring task into multiple sampling points arranged vertically and horizontally, with each point capturing data for specific contaminant types. This segmentation allows simple individual measurements to be combined into a comprehensive, precise emission quantification without requiring complex single-point measurement equipment.
Solution Approach 2:
The system combines data from multiple sampling points, wind speed measurements, wind direction data, and temperature information into a unified emission rate calculation. By merging these various data streams and simple measurements, the system achieves precise emission quantification without requiring any single component to be overly complex.
2Measurement precision
If complex monitoring methods are used, then measurement precision is improved, but device complexity worsens
Solution Approach 1:
Rather than using a single complex instrument, the system segments the measurement function across multiple simple sampling points and detectors. Each sampling point uses basic sensing capability, and the complexity is distributed and managed through the data processing system that integrates all inputs into precise emission rates.
Solution Approach 2:
The system uses readily available meteorological data (wind speed, wind direction, temperature) from local weather stations or portable meteorological stations to enhance measurement precision without requiring the monitoring system itself to generate these complex environmental parameters. The system leverages existing environmental data to improve its measurement accuracy.
3Ease of operation
If visual inspection methods are used, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The system replaces visual inspection with automated chemical sensing at multiple sampling points. Instead of relying on human visual assessment of emissions, the system uses detectors to directly measure contaminant concentrations, providing objective, precise quantitative data that is both accurate and easy to obtain without requiring skilled visual evaluation.
Data Source
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AI summary
A system and method for quantifying an emission source is provided. The system and method obtain a plurality of emission concentration measurements at one or more sampling points and wind data over the time the emission concentrations are measured. For each sampling point, a virtual sampling arc can be constructed using the emission concentration measurements taken at the sampling point, the wind data for when the emission concentration measurement were taken and an approximate distance to the emission source. The virtual sampling arcs can then be used to construct one or more virtual sampling grids and the amount of emissions emanating from the emissions source approximated from the virtual sampling grids.