Available and Emerging Technologies for Reducing Greenhouse Gas Emissions from Combustion Turbine Electric Generating Units

15 organizations filed 15 public comments on Available and Emerging Technologies for Reducing Greenhouse Gas Emissions from Combustion Turbine Electric Generating Units, at the Environmental Protection Agency. The comment window closed 1513d ago.

Abstract

Informational paper that summarizes readily available information on control techniques and measures with the potential to mitigate greenhouse gas (GHG) emissions from stationary combustion turbines permitted to operate as electric utility generating units (EGUs). A discussion of the basic types of available stationary combustion turbines is included as well as factors that influence GHG emission rates from these sources. The subsequent technology discussion includes information on an array of control technologies and potential reduction measures for GHG emissions.

Commenters (15)

• Alliance of Nurses for Healthy Environmentstrade assoc.

  1 filing · confidence 85%
• American Public Power Associationtrade assoc.

  1 filing · confidence 97%
• Calpine Corporationunverified attribution

  1 filing · confidence 70%
• CF Industriesunverified attribution

  1 filing · confidence 70%
• Edison Electric Institutetrade assoc.

  1 filing · confidence 97%
• Energy Strategy Coalitiontrade assoc.

  1 filing · confidence 85%
• Environmental Defense Fundtrade assoc.

  1 filing · confidence 97%
• Gas Turbine Associationtrade assoc.

  1 filing · confidence 85%
• Institute of Clean Air Companiestrade assoc.

  1 filing · confidence 85%
• National Rural Electric Cooperative Associationtrade assoc.

  1 filing · confidence 97%
• Natural Resources Defense Council (NRDC)trade assoc.

  1 filing · confidence 97%
• Oglethorpe Power Corporationunverified attribution

  1 filing · confidence 70%
• Southern Companyunverified attribution

  1 filing · confidence 70%
• U.S. Climate Alliancetrade assoc.

  1 filing · confidence 85%
• Union of Concerned Scientistsunverified attribution

  1 filing · confidence 70%