Ozone sensitivity to high energy demand day electricity and onroad emissions during LISTOS

Using a high-resolution, 1.33 km by 1.33 km coupled Weather Research and Forecasting-Community Multi-scale Air Quality Model (WRF-CMAQ), we quantify the impact of emissions of nitrogen oxides (NOx) from high energy demand day (HEDD) electricity generating units (EGU) and onroad vehicles on ambient ozone air quality in the Long Island Sound Tropospheric Ozone Study (LISTOS) region covering New York City (NYC); Long Island, NY; coastal Connecticut; and neighboring areas. We test sensitivity scenarios to quantify HEDD EGU NOx contributions to ozone: (1) zero out HEDD EGU emissions, (2) dispatch HEDD EGUs starting with the lowest NOx emitting units first, (3) reduce onroad emissions by 90%, (4) combine zero out HEDD EGU emissions and reducing onroad emissions by 90%, and (5) dispatch HEDD EGUs starting with the lowest emitting units coupled with a reduction in onroad emissions by 90%. Results determine that HEDD EGUs lead to highly localized impacts on ambient concentrations of ozone while onroad emission reductions lead to large-scale regional concentration impacts. Further, reducing onroad emissions by 90% leads to spatially smaller VOC-limited regions and spatially larger transitional and NO<sub>X</sub>-limited regions around NYC. Despite the limited scale at which the EGU emission reductions occur, modifying HEDD EGU NO<sub>X</sub> emissions still provides substantial benefits in reducing ozone concentrations in the region, particularly at elevated ozone concentrations above 70 ppb.<i>Implications:</i> High-resolution coupled meteorology-chemistry modeling was used to quantify the impacts of high energy demand day (HEDD) electricity generating units (EGUs) and onroad transportation emissions changes on ozone air quality in the LISTOS region. Despite being highly localized and variable, HEDD EGUs NO<sub>X</sub> emissions sensitivity tests led to quantifiable changes in ozone. Further, reducing onroad emissions by 90% produced large decreases in ozone concentrations and led to a more NO<sub>X</sub>-sensitive ozone photochemical regime. With a transition to greater NO<sub>X</sub>-sensitivity, urban NO<sub>X</sub>-titration weakens and ozone is more likely to decline with the removal of additional NO<sub>X</sub> from sources like HEDD EGUs.

Authors

Institutions

Publication Details

Journal
Journal of the Air & Waste Management Association
Published
2024-08-26
DOI
https://doi.org/10.1080/10962247.2024.2396400
Citations
1
Primary Topic
Atmospheric Ozone and Climate
Type
article
Field-Weighted Citation Impact
0.38

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ozone sensitivity to high energy demand day electricity and onroad emissions during LISTOS

Paul J. Miller, J. Underhill, Alexandra Karambelas, Joseph Jakuta et al.
1 citations
Journal of the Air & Waste Management Association
Atmospheric Ozone and Climate
0.38
article

Ozone sensitivity to high energy demand day electricity and onroad emissions during LISTOS

Paul J. Miller, J. Underhill, Alexandra Karambelas, Joseph Jakuta, Eric Zalewsky, Jonathan Pleim
article en
1 citations

Abstract

Using a high-resolution, 1.33 km by 1.33 km coupled Weather Research and Forecasting-Community Multi-scale Air Quality Model (WRF-CMAQ), we quantify the impact of emissions of nitrogen oxides (NOx) from high energy demand day (HEDD) electricity generating units (EGU) and onroad vehicles on ambient ozone air quality in the Long Island Sound Tropospheric Ozone Study (LISTOS) region covering New York City (NYC); Long Island, NY; coastal Connecticut; and neighboring areas. We test sensitivity scenarios to quantify HEDD EGU NOx contributions to ozone: (1) zero out HEDD EGU emissions, (2) dispatch HEDD EGUs starting with the lowest NOx emitting units first, (3) reduce onroad emissions by 90%, (4) combine zero out HEDD EGU emissions and reducing onroad emissions by 90%, and (5) dispatch HEDD EGUs starting with the lowest emitting units coupled with a reduction in onroad emissions by 90%. Results determine that HEDD EGUs lead to highly localized impacts on ambient concentrations of ozone while onroad emission reductions lead to large-scale regional concentration impacts. Further, reducing onroad emissions by 90% leads to spatially smaller VOC-limited regions and spatially larger transitional and NO<sub>X</sub>-limited regions around NYC. Despite the limited scale at which the EGU emission reductions occur, modifying HEDD EGU NO<sub>X</sub> emissions still provides substantial benefits in reducing ozone concentrations in the region, particularly at elevated ozone concentrations above 70 ppb.<i>Implications:</i> High-resolution coupled meteorology-chemistry modeling was used to quantify the impacts of high energy demand day (HEDD) electricity generating units (EGUs) and onroad transportation emissions changes on ozone air quality in the LISTOS region. Despite being highly localized and variable, HEDD EGUs NO<sub>X</sub> emissions sensitivity tests led to quantifiable changes in ozone. Further, reducing onroad emissions by 90% produced large decreases in ozone concentrations and led to a more NO<sub>X</sub>-sensitive ozone photochemical regime. With a transition to greater NO<sub>X</sub>-sensitivity, urban NO<sub>X</sub>-titration weakens and ozone is more likely to decline with the removal of additional NO<sub>X</sub> from sources like HEDD EGUs.

Journal of the Air & Waste Management AssociationVol. 74(11)
New York State Department of Environmental Conservation (US), Environmental Protection Agency (US), Research Triangle Park Foundation (US), Department of Energy and Environment (US)
U.S. Department of Energy, U.S. Environmental Protection Agency, New York State Department of Environmental Conservation, New York State Energy Research and Development Authority, Virginia Department of Environmental Quality
Affordable and clean energy
Openalex Percentile: Top 41%
Atmospheric Ozone and Climate
0.38
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.