Compilation and Analysis of Toxic Organic & Metallic Speciate Inventories for Deep-Draft Emissions Modelling

The next phase for improvement in capabilities of emissions handling modeling is to move forward with the increased acquisition, integration, and processing of ais data and information. Doing so will support improved determination as to operational mode at any given time of vessel activity or movement and allow more discriminating application of the model’s capabilities for assessment of emissions handling according to parameters such as speed, maneuvering, and dockside activities over time and the timing of vessel operations. This is also of particular value for the varying modes of vessel operation in and around the geographical areas of port and their communities. It has been determined additional robustness to model application could be achieved by adding or refining currently available hazardous air pollutant (hap) profiles to the existing model’s emissions output or estimations to quantify releases of dangerous or harmful organic gaseous and metallic compounds. The interest in assessing these additional emissions constituents is that in sufficient concentration (depending on fuel or bunkerage source) they add additional cost for operation and maintenance of scrubbers, catalytic converters and other technology employed for emissions processing and reduction. Among the tangible deliverables needed to support accomplishment of gis-enhanced emissions handling modeling efforts, the following listing or outline is offered: 1. ) compilation of gis data provided in a format suitable or appropriate for efficient intake by emissions modeling handling. 2. ) compilation of vessel attribute data that aligns with the ais data versus the underling lines library of reference hulls. 3. ) quality-checked and verification criteria for pollutant emissions output from emissions modeling structure and applicable relationships for a given hull. 4. ) improved speciation profiling for marine diesel engines based on distillate versus non-distillate fuels and alternative measures for emissions handling and control combined with and derived from more discriminating assessment of mode of vessel operation. 5. ) enhancement of modeling emissions handling with application of speciation profiles to modeling algorithms based on and applied to data and information for actual operations. 6. ) gis mapping and visualization of vessel movement and emissions and concentrations to place in perspective the costs of emissions handling per requirements imposed for vessel operations. 7. ) documentation of technical\analytical process and summarization of results.