2 research outputs found
Optimal Ozone Reduction Policy Design Using Adjoint-Based NO<sub><i>x</i></sub> Marginal Damage Information
Despite substantial reductions in
nitrogen oxide (NO<sub><i>x</i></sub>) emissions in the
United States, the success of
emission control programs in optimal ozone reduction is disputable
because they do not consider the spatial and temporal differences
in health and environmental damages caused by NO<sub><i>x</i></sub> emissions. This shortcoming in the current U.S. NO<sub><i>x</i></sub> control policy is explored, and various methodologies
for identifying optimal NO<sub><i>x</i></sub> emission control
strategies are evaluated. The proposed approach combines an optimization
platform with an adjoint (or backward) sensitivity analysis model
and is able to examine the environmental performance of the current
cap-and-trade policy and two damage-based emissions-differentiated
policies. Using the proposed methodology, a 2007 case study of 218
U.S. electricity generation units participating in the NO<sub><i>x</i></sub> trading program is examined. The results indicate
that inclusion of damage information can significantly enhance public
health performance of an economic instrument. The net benefit under
the policy that minimizes the social cost (i.e., health costs plus
abatement costs) is six times larger than that of an exchange rate
cap-and-trade policy
Optimal Ozone Control with Inclusion of Spatiotemporal Marginal Damages and Electricity Demand
Marginal
damage (MD), or damage per ton of emission, is a policy
metric used for effective pollution control and reducing the corresponding
adverse health impacts. However, for a pollutant such as NO<sub><i>x</i></sub>, the MD varies by the time and location of the emissions,
a complication that is not adequately accounted for in the currently
implemented economic instruments. Policies accounting for MD information
would aim to encourage emitters with large MDs to reduce their emissions.
An optimization framework is implemented to account for NO<sub><i>x</i></sub> spatiotemporal MDs calculated through adjoint sensitivity
analysis and to simulate power plants’ behavior under emission
and simplified electricity constraints. The results from a case study
of U.S. power plants indicate that time-specific MDs are high around
noon and low in the evening. Furthermore, an emissions reduction of
about 40% and a net benefit of about $1200 million can be gained for
this subset of power plants if a larger fraction of the electricity
demand is supplied by power plants at low-damage times and in low-damage
locations. The results also indicate that the consideration of temporal
effects in NO<sub><i>x</i></sub> control policies results
in a comparable net benefit to the consideration of spatial or spatiotemporal
effects, thus providing a promising option for policy development