Mapping of release locations Sample Clauses

Mapping of release locations. As mentioned earlier, the primary objective of this deployment was to prove and demonstrate the capability of the ORION® system to detect fugitive emissions of CH4 in real world conditions in an industrial setting. A secondary objective, which goes beyond the original scope of the S4CE project, was to test and evaluate the efficacy of an early stage mapping algorithm being developed at MIRICO to localise and quantify fugitive emissions. This is accomplished by coupling the path averaged concentration data from the ORION with the anemometry data that is recorded simultaneously. The structure of the mapping software is best understood by separating it into two parts, the dispersion model and the solver. The dispersion model used here is a simple Gaussian Plume model that is a representation of the real world test conditions prevalent during measurements. Using this model, it is possible to simulate what the ORION® would measure in a given situation (the forward mode). Due to the presence of multiple model parameters and the stochastic nature of wind conditions affecting dispersion, a solver based on a Bayesian approach is used to then infer locations of possible sources and their emission rates that best describes the available concentration data, given a set of known values or valid assumptions. The solver used in this mapping approach is the freely available PyMC3 package [5]. The entire approach to developing this mapping tool was based on modularity which allows new models and solvers to be integrated and tested during further development and refinement of this tool. To enable this, a subset of the recorded time series of concentration data was selected to be used, together with wind vector measurements, for mapping and quantification of the controlled emission sources. The mapping technique employed here relies on having enough variety in wind speed and direction to determine a unique solution. The longer the ORION® is deployed, the more likely it is that there will be favourable wind conditions. For release locations 1 and 2, only a limited amount of high-quality concentration data was captured during the trial due to the instrumental difficulties described in the experimental setup. These data, however, did not contain sufficient plume intersections with the beam paths to qualitatively and quantitatively estimate the release locations and release rates with a high enough degree of confidence. Efforts were most successful in mapping release location 3 ...
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