AirWare On-line Reference Manual

Release Level 5.4
Release Date 2008 10

Revision Level 1.0

Last modified on: Monday, 20-Jul-09 14:03 CEST

Emission Control Optimization

The Emission control optimization is currently based on PBM a simple numerical air quality model that simulates photochemical smog at an urban scale.

For a given PBM scenario, the buttons EMISSIONS and in the emission scenario, optimize lead to the optimization interface.

The optimization scenario is a standard OBJECT with header and META data.

The scenario will list a set of sources, for which control options (emission reduction at at a cost) can be defined. The set of sources includes:

all boilers (major point sources from industrial plants)
small stacks (as a class)
area sources (as a class)
line sources (as a class).

As a basic scenario control parameter, the user can define the number of runs to be made in the Monte Carlo framework.

Emission control strategies

For each of the emission sources or source classes, the user can edit:

INV	annualized investment cost of the control policy or technology
OP	annual operating costs (OMR)
Ref	reference unit for the OMR costs (time step)
Reduction%	the relative emision reduction achievable with a 100% (complete) application of the policy of technology
Min	a minimum application rate
Max	a maximum application rate
Weight	a weight factor that defines the probability that the instrument will be applied

Once a scenario is completely defined, it can be run with the pbm button. A message Running ..... will indicate the status.

Optimization results

When the set of runs spacified by the user is completed, the results page (also accessible from the corresponding button) will be shown.

The results list the summary over the set of model runs with the average application rate and associated investment and operating costs for each emission source or source class. The columns %min and &max indicate the minimum and maximum remaining emissions (as % of the original uncontrolled emisisons) from the corresponding source.

The button details generates a ranked listing of the model runs (alternatives) with a set of four (user selected) criteria displaed, the last one associated with a graphical representation (color coded horizontal bar) to symbolize the criteria value. The list can be sorted (ascending or decending) for any one of the criteria displayed.

Selecting any individual alternative from the list will display its specific results, i.e., the various technology application rates, cost, and associated emission reduction.

Post-optimal analysis

To analyse the set of alternatives generated, the data can be exported to DMC a discrete multi-criteria DSS tool.

The buttonexport will export a data set if results have been generated;

The button DMC will directly lead to the corresponding DMC scenario.