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Diagnostic Tool for Measuring Early Chemical Signatures of Pond Crash

Moorman, Matthew W.

The DOE is devoted to improving national energy security and reducing carbon emissions through the development of renewable alternatives to fossil fuel usage. This work demonstrates a pathway to improve the feasibility of large-scale biofuel production by reducing the occurrences of pond failures and their associated economic burdens. We have done this by identifying unique volatile chemical signals that indicate predator attack on an algal biofuel pond. These volatiles are easy to collect in the field and could be rapidly analyzed for state-of- health monitoring. This will allow producers to intervene early during predator attack on a pond and minimize crop loss.

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TYPE SAND Report YEAR 2019
DOIOSTI

Hydrogen Stations for Urban Sites

Ehrhart, Brian D.; Bran Anleu, Gabriela A.; Ye, Dongmei Y.; Hecht, Ethan S.; Muna, Alice B.; Lafleur, Angela (Chris)

Additional fueling stations need to be constructed in the U.S. to enable the wide-spread adoption of fuel cell electric vehicles. A wide variety of private and public stakeholders are involved in the development of this hydrogen fueling infrastructure. Each stakeholder has particular needs in the station planning, development, and operation process that may include evaluation of potential sites and requirements, understanding the components in a typical system, and/or improving public acceptance of this technology. Publicly available templates of representative station designs can be used to meet many of these stakeholder needs. These 'Reference Stations' help reduce the cost and speed the deployment of hydrogen stations by providing a common baseline with which to start a design, enabling quick assessment of the suitability of a particular site for a hydrogen station, and identifying contributors to poor economics and research and development areas for certain station designs.

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TYPE Other Report YEAR 2019
DOIOSTI

MELCOR Code Change History: Revision 11932 to 14959

Phillips, Jesse

This document summarily provides brief descriptions of the MELCOR code enhancement made between code revision number 11932 and 14959. Revision 11932 represents the last official code release; therefore, the modeling features described within this document are provided to assist users that update to the newest official MELCOR code release, 14959. Along with the newly updated MELCOR Users' Guide and Reference Manual, users will be aware and able to assess the new capabilities for their modeling and analysis applications.

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TYPE SAND Report YEAR 2019
DOIOSTI
Results 20301–20400 of 99,299
Results 20301–20400 of 99,299