Locational Marginal Emission Evaluation for Electric Vehicle Charging Facility Planning

Details

• Creators:
  Sang, Yuanrui ; Santiago, Ivonne
• Corporate Creators:
  Center for Advancing Research in Transportation Emissions, Energy, and Health (CARTEEH) Tier-1 University Transportation Center (UTC) ; University of Texas at El Paso
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  Air Quality Management Electric Power Electric Power Generation And Transmission Electric Vehicle Charging Electric Vehicles Energy Consumption Equity (Justice) Infrastructure Location Pollutants Public Health

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• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final 02/01/2021–12/31/2022
• Corporate Publisher:
  Center for Advancing Research in Transportation Emissions, Energy, and Health (CARTEEH) Tier-1 University Transportation Center (UTC)
• Abstract:
  Transportation and electricity generation are the two largest sources of air pollution, however, the pollutants caused by these two sectors are becoming increasingly intertwined in today’s world due to the increasing popularity of electric vehicles (EVs). In recent years, EVs have become the trend for automobiles around the world, and many automobile manufacturers have invested heavily in EVs. Although EVs do not produce emissions directly, they do induce indirect emissions from the electric power grid when being charged because most electric power generation sources are not emission-free. To reduce such indirect EV emissions, it is essential to situate EV charging facilities at locations that induce low emissions from the generation sources. The identification of these low-emission locations requires real-time, system-wide analyses for the power grid. The electric power grid includes a mix of generation units that are powered by different types of fuels, such as coal, natural gas, and renewable resources like solar and wind energy. These generation units have different emission rates for each pollutant, and different combinations of generation units are dispatched to meet a time-varying load demand. Due to transmission congestion, charging an EV at different locations may result in different pollutant emission rates. Such real-time, system-wide analyses will provide us with information on locational marginal emissions (LMEs), which are the emissions caused by the next unit of electric power consumption at a given location and time. It is the very indicator that provides us with insights on which locations have lower emission rates at a given moment. Through long-term LME analyses, an infrastructure planner could identify locations with low emission rates to build EV charging facilities, thus reducing the indirect pollutant emissions caused by EV charging. This project aims to develop an LME assessment framework for gases that impose public health hazards, such as sulfur dioxide and nitrogen oxides.
• Format:
  PDF
• Funding:
  69A3551747128
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:54355903add98524c4a0a92034fef3d5cd7b4b7210cd03a64bf2ca224a9bdc152d34b9a80d8ef615f2acd6ddff8b349d418e7218c114b4e35ca817a6df357106
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/74513/dot_74513_DS1.pdf
• File Type:
  [PDF - 2.05 MB ]