Development of a plume-in-grid model for industrial point and volume sources: application to power plant and refinery sources in the Paris region

Plume-in-grid (PinG) models incorporating a host Eulerian model and a subgrid-scale model (usually a Gaussian plume or puff model) have been used for the simulations of stack emissions (e.g., fossil fuel-fired power plants and cement plants) for gaseous and particulate species such as nitrogen oxide...

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Main Authors: Y. Kim, C. Seigneur, O. Duclaux
Format: Article
Language:English
Published: Copernicus Publications 2014-04-01
Series:Geoscientific Model Development
Online Access:http://www.geosci-model-dev.net/7/569/2014/gmd-7-569-2014.pdf
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author Y. Kim
C. Seigneur
O. Duclaux
author_facet Y. Kim
C. Seigneur
O. Duclaux
author_sort Y. Kim
collection DOAJ
description Plume-in-grid (PinG) models incorporating a host Eulerian model and a subgrid-scale model (usually a Gaussian plume or puff model) have been used for the simulations of stack emissions (e.g., fossil fuel-fired power plants and cement plants) for gaseous and particulate species such as nitrogen oxides (NO<sub>x</sub>), sulfur dioxide (SO<sub>2</sub>), particulate matter (PM) and mercury (Hg). Here, we describe the extension of a PinG model to study the impact of an oil refinery where volatile organic compound (VOC) emissions can be important. The model is based on a reactive PinG model for ozone (O<sub>3</sub>), which incorporates a three-dimensional (3-D) Eulerian model and a Gaussian puff model. The model is extended to treat PM, with treatments of aerosol chemistry, particle size distribution, and the formation of secondary aerosols, which are consistent in both the 3-D Eulerian host model and the Gaussian puff model. Furthermore, the PinG model is extended to include the treatment of volume sources to simulate fugitive VOC emissions. The new PinG model is evaluated over Greater Paris during July 2009. Model performance is satisfactory for O<sub>3</sub>, PM<sub>2.5</sub> and most PM<sub>2.5</sub> components. Two industrial sources, a coal-fired power plant and an oil refinery, are simulated with the PinG model. The characteristics of the sources (stack height and diameter, exhaust temperature and velocity) govern the surface concentrations of primary pollutants (NO<sub>x</sub>, SO<sub>2</sub> and VOC). O<sub>3</sub> concentrations are impacted differently near the power plant than near the refinery, because of the presence of VOC emissions at the latter. The formation of sulfate is influenced by both the dispersion of SO<sub>2</sub> and the oxidant concentration; however, the former tends to dominate in the simulations presented here. The impact of PinG modeling on the formation of secondary organic aerosol (SOA) is small and results mostly from the effect of different oxidant concentrations on biogenic SOA formation. The investigation of the criteria for injecting plumes into the host model (fixed travel time and/or puff size) shows that a size-based criterion is recommended to treat the formation of secondary aerosols (sulfate, nitrate, and ammonium), in particular, farther downwind of the sources (beyond about 15 km). The impacts of PinG modeling are less significant in a simulation with a coarse grid size (10 km) than with a fine grid size (2 km), because the concentrations of the species emitted from the PinG sources are relatively less important compared to background concentrations when injected into the host model with a coarser grid size.
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spelling doaj.art-8b6f3dd7f041464ea27b5024ec1634132022-12-22T00:43:14ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032014-04-017256958510.5194/gmd-7-569-2014Development of a plume-in-grid model for industrial point and volume sources: application to power plant and refinery sources in the Paris regionY. Kim0C. Seigneur1O. Duclaux2CEREA, Joint Laboratory École des Ponts ParisTech/EDF R&D, Université Paris-Est, 77455 Champs-sur-Marne, FranceCEREA, Joint Laboratory École des Ponts ParisTech/EDF R&D, Université Paris-Est, 77455 Champs-sur-Marne, FranceCRES, Centre de Recherche TOTAL, 69360 Solaize, FrancePlume-in-grid (PinG) models incorporating a host Eulerian model and a subgrid-scale model (usually a Gaussian plume or puff model) have been used for the simulations of stack emissions (e.g., fossil fuel-fired power plants and cement plants) for gaseous and particulate species such as nitrogen oxides (NO<sub>x</sub>), sulfur dioxide (SO<sub>2</sub>), particulate matter (PM) and mercury (Hg). Here, we describe the extension of a PinG model to study the impact of an oil refinery where volatile organic compound (VOC) emissions can be important. The model is based on a reactive PinG model for ozone (O<sub>3</sub>), which incorporates a three-dimensional (3-D) Eulerian model and a Gaussian puff model. The model is extended to treat PM, with treatments of aerosol chemistry, particle size distribution, and the formation of secondary aerosols, which are consistent in both the 3-D Eulerian host model and the Gaussian puff model. Furthermore, the PinG model is extended to include the treatment of volume sources to simulate fugitive VOC emissions. The new PinG model is evaluated over Greater Paris during July 2009. Model performance is satisfactory for O<sub>3</sub>, PM<sub>2.5</sub> and most PM<sub>2.5</sub> components. Two industrial sources, a coal-fired power plant and an oil refinery, are simulated with the PinG model. The characteristics of the sources (stack height and diameter, exhaust temperature and velocity) govern the surface concentrations of primary pollutants (NO<sub>x</sub>, SO<sub>2</sub> and VOC). O<sub>3</sub> concentrations are impacted differently near the power plant than near the refinery, because of the presence of VOC emissions at the latter. The formation of sulfate is influenced by both the dispersion of SO<sub>2</sub> and the oxidant concentration; however, the former tends to dominate in the simulations presented here. The impact of PinG modeling on the formation of secondary organic aerosol (SOA) is small and results mostly from the effect of different oxidant concentrations on biogenic SOA formation. The investigation of the criteria for injecting plumes into the host model (fixed travel time and/or puff size) shows that a size-based criterion is recommended to treat the formation of secondary aerosols (sulfate, nitrate, and ammonium), in particular, farther downwind of the sources (beyond about 15 km). The impacts of PinG modeling are less significant in a simulation with a coarse grid size (10 km) than with a fine grid size (2 km), because the concentrations of the species emitted from the PinG sources are relatively less important compared to background concentrations when injected into the host model with a coarser grid size.http://www.geosci-model-dev.net/7/569/2014/gmd-7-569-2014.pdf
spellingShingle Y. Kim
C. Seigneur
O. Duclaux
Development of a plume-in-grid model for industrial point and volume sources: application to power plant and refinery sources in the Paris region
Geoscientific Model Development
title Development of a plume-in-grid model for industrial point and volume sources: application to power plant and refinery sources in the Paris region
title_full Development of a plume-in-grid model for industrial point and volume sources: application to power plant and refinery sources in the Paris region
title_fullStr Development of a plume-in-grid model for industrial point and volume sources: application to power plant and refinery sources in the Paris region
title_full_unstemmed Development of a plume-in-grid model for industrial point and volume sources: application to power plant and refinery sources in the Paris region
title_short Development of a plume-in-grid model for industrial point and volume sources: application to power plant and refinery sources in the Paris region
title_sort development of a plume in grid model for industrial point and volume sources application to power plant and refinery sources in the paris region
url http://www.geosci-model-dev.net/7/569/2014/gmd-7-569-2014.pdf
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AT oduclaux developmentofaplumeingridmodelforindustrialpointandvolumesourcesapplicationtopowerplantandrefinerysourcesintheparisregion