By Topic

An efficient approach to reduce emissions by coupling atmospheric and electricity market models

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Vikas Dawar ; Department of Electrical and Computer Engineering, University of Wisconsin Madison, USA ; Bernard Lesieutre ; Tracey Holloway ; Erica Bickford

With a growing focus on energy and environment, there is need to include emission constraints in electricity markets. Current methods to reduce emissions include the Acid Rain Program, NOx Trading Programs and Cross-State Air Pollution Rule (CSAPR). Even with these cap-and-trade programs in effect, there are substantial Nonattainment Areas in the USA with respect to the National Ambient Air Quality Standards. In this paper, we present a novel approach to reduce emissions by coupling the US Environmental Protection Agency (EPA) atmospheric model CMAQ, and an electricity market model. We include weather, chemistry, time and locational aspects of NOx and SOx emissions to reduce specific pollutants which cap-and-trade programs do not implement. We introduce a linear emission constraint within our electricity model which implicitly involves the atmospheric effects. We present an example to successfully reduce a sulfate particulate matter (ASO4) concentration at a specific location and at a specific time period.

Published in:

North American Power Symposium (NAPS), 2012

Date of Conference:

9-11 Sept. 2012