DOI: 10.1016/j.atmosenv.2018.02.014
Scopus记录号: 2-s2.0-85043996240
论文题名: Fugitive emission source characterization using a gradient-based optimization scheme and scalar transport adjoint
作者: Brereton C ; A ; , Joynes I ; M ; , Campbell L ; J ; , Johnson M ; R
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 181 起始页码: 106
结束页码: 116
语种: 英语
英文关键词: Adjoint
; Fugitive emissions
; Leak location
; Leak quantification
; Source characterization
; Source quantification
Scopus关键词: Greenhouse gases
; Adjoints
; Fugitive emissions
; Leak locations
; Leak quantification
; Source characterization
; Source quantification
; Characterization
; database
; emission
; environmental gradient
; experimental study
; greenhouse gas
; measurement method
; optimization
; pollutant source
; power plant
; reconstruction
; wind field
; Article
; atmospheric dispersion
; fugitive emission
; gas transport
; geometry
; greenhouse gas
; plume
; priority journal
; steady state
; wind power
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Fugitive emissions are important sources of greenhouse gases and lost product in the energy sector that can be difficult to detect, but are often easily mitigated once they are known, located, and quantified. In this paper, a scalar transport adjoint-based optimization method is presented to locate and quantify unknown emission sources from downstream measurements. This emission characterization approach correctly predicted locations to within 5 m and magnitudes to within 13% of experimental release data from Project Prairie Grass. The method was further demonstrated on simulated simultaneous releases in a complex 3-D geometry based on an Alberta gas plant. Reconstructions were performed using both the complex 3-D transient wind field used to generate the simulated release data and using a sequential series of steady-state RANS wind simulations (SSWS) representing 30 s intervals of physical time. Both the detailed transient and the simplified wind field series could be used to correctly locate major sources and predict their emission rates within 10%, while predicting total emission rates from all sources within 24%. This SSWS case would be much easier to implement in a real-world application, and gives rise to the possibility of developing pre-computed databases of both wind and scalar transport adjoints to reduce computational time. © 2018 The Author(s) Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82927
Appears in Collections: 气候变化事实与影响
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作者单位: Energy & Emissions Research Lab., Mechanical & Aerospace Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, ON, Canada; School of Mathematics and Statistics, Carleton University, 1125 Colonel By Drive, Ottawa, ON, Canada
Recommended Citation:
Brereton C,A,, Joynes I,et al. Fugitive emission source characterization using a gradient-based optimization scheme and scalar transport adjoint[J]. Atmospheric Environment,2018-01-01,181