with facilities in the states of Illinois and Idaho, is owned by the United States govemment, and op_' lted by the University of Chicago under the provisions of a contract with te Department of Energy. This technical report is a product of Argonne's Er ironmental Assessment and Information Sciences Division. For informatir n on the division's scientific and engineering activities, contact:
A series of tests was conducted in EBR-II which examined the dynamics of the transition from forced to natural circulation flow in a liquid-metal-cooled fast breeder reactor. Each test was initiated by abruptly tripping an electromagnetic pump which supplies 5–6 percent of the normal full operational primary flow rate. The ensuing flow coastdown reached a minimum value after which the flow increased as natural circulation was established. The effects of secondary system flow through the intermediate heat exchanger and reactor decay power level on the minimum in-core flow rates and maximum in-core temperatures were examined.
As with the distribution of any commodity, distribution of hydrogen depends on how the hydrogen is packaged, how far it must travel, and how much must be delivered. Few would argue that transporting a high-pressure gas is markedly different from transporting a cryogenic liquid—or even a liquid at standard temperature and pressure. Packaging affects not only density (weight/volume) but also the operation of potential delivery modes and onboard storage, a problem that has been called the grand challenge of the hydrogen economy. These three factors—packaging (which in turn affects shipment size and modal attributes), delivery distance, and demand—affect both the structure of potential delivery systems and their contribution to unit costs. This paper describes the hydrogen delivery scenario analysis model, a generalized model of hydrogen delivery that can be used to analyze the economic feasibility of various options for hydrogen distribution to markets of different sizes and types. Inputs may be user defined, or default values developed for the U.S. Department of Energy's Hydrogen Analysis project may be used. This paper describes the model's structure and capabilities, presents initial results, and discusses ongoing enhancements.
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