Smart Energy Management of Multiple Full Cell Powered Applications Page: 3 of 86
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In this research project the University of South Alabama research team has been investigating
smart energy management and control of multiple fuel cell power sources when subjected to
varying demands of electrical and thermal loads together with demands of hydrogen production.
This research has focused on finding the optimal schedule of the multiple fuel cell power plants
in terms of electric, thermal and hydrogen energy. The optimal schedule is expected to yield the
lowest operating cost. Our team is also investigating the possibility of generating hydrogen using
photoelectrochemical (PEC) solar cells through finding materials for efficient light harvesting
photoanodes. The goal is to develop an efficient and cost effective PEC solar cell system for
direct electrolysis of water. In addition, models for hydrogen production, purification, and storage
will be developed. The results obtained and the data collected will be then used to develop a
smart energy management algorithm whose function is to maximize energy conservation within a
managed set of appliances, thereby lowering O/M costs of the Fuel Cell power plant (FCPP), and
allowing more hydrogen generation opportunities.
The Smart Energy Management and Control (SEMaC) software, developed earlier, controls
electrical loads in an individual home to achieve load management objectives such that the total
power consumption of a typical residential home remains below the available power generated
from a fuel cell. In this project, the research team will leverage the SEMaC algorithm developed
earlier to create a neighborhood level control system.
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Alam, Mohammad S. Smart Energy Management of Multiple Full Cell Powered Applications, report, April 23, 2007; United States. (digital.library.unt.edu/ark:/67531/metadc888949/m1/3/: accessed November 14, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.