Adjoint sensitivity analysis for fugitive emissions characterization on a building scale
In the upstream oil and gas industry, it is estimated that global climate forcing from fugitive methane emissions is equivalent to 582 Mton CO 2, which accounts for about 2% of the world's reported greenhouse gas emissions, making these unintended sources a critical target for mitigation. An inverse numerical modeling scheme for locating and quantifying fugitive emissions sources in a gas plant was studied. The simulation domain was constructed from a two-dimensional unstructured triangular mesh, and the solution was treated as a least squares optimization problem to find a stationary source profile that reproduced the sensor measurements. An adjoint sensitivity analysis was implemented to test its applicability for characterizing fugitive emissions on a building scale with an unstructured triangular mesh. A case was considered for an emissions source which had unfavorable receptor coverage for the same wind direction from the northeast. The methane leak source position and amplitude were incorrectly estimated, indicating that receptor coverage and wind direction will be a limiting factor in the location and quantification of fugitive emissions. This is an abstract of a paper presented at the 104th AWMA Annual Conference and Exhibition 2011 (Orlando, FL 6/21-24/2011).
|Keywords||Adjoint, CFD, Fugitive emissions, Inverse dispersion, Pollutant detection, Source location|
|Conference||104th Air and Waste Management Association Annual Conference and Exhibition 2011|
Joynes, I.M. (Ian M.), Johnson, M.R, & Hakami, A. (2011). Adjoint sensitivity analysis for fugitive emissions characterization on a building scale. In Proceedings of the Air and Waste Management Association's Annual Conference and Exhibition, AWMA (pp. 64–68).