Tuesday, April 1, 2008 - 3:00 PM

HDSAM 2.0: Expanded Capabilities, Enhanced Results in Hydrogen Delivery Modeling

Marianne Mintz1, Amgad Elgowainy1, Jerry Gillette1, Mark D. Paster2, Matthew B. Ringer3, Daryl Brown4, Matthew Hooks5, and Bruce Kelly5. (1) Argonne National Laboratory, (2) U.S. Dept. of Energy, Energy Efficiency & Renewable Energy, (3) National Renewable Energy Laboratory, (4) Pacific Northwest National Laboratory, (5) TIAX LLC

The Hydrogen Delivery Scenario Analysis Model (HDSAM) is an analytical tool that characterizes potential pathways for delivering hydrogen from central production facilities to hydrogen-fueled vehicles and estimates the contribution of each major step in the pathway to the levelized cost of hydrogen. Version 1.0 of the model was posted on the Energy Efficiency and Renewable Energy (EERE) page of the U.S. Department of Energy’s (DOE) website in April 2005 from which it has been accessed and downloaded by a variety of analysts from government, industry and academia. Since 2005 work has continued on model improvements identified from user feedback, model review and the results of various delivery analyses conducted for DOE. These improvements include updated characterizations of individual components like compressors, pumps, evaporators and storage vessels; revised component sizing and cost equations; development of methodologies for integrating components into cohesive pathways, estimating energy and greenhouse gas emissions of alternative pathways and optimizing pathway storage requirements; and major revisions to refueling station supply-demand dynamics. Together, these improvements greatly enhance the realism with which the model represents the individual components involved in hydrogen delivery and their linkage into alternative pathways. This presentation describes Version 2.0 of the model (which was posted to the EERE website in December 2007), highlights major differences between it and Version 1.0, and presents illustrative results which demonstrate some of the model’s capabilities.