Smart Energy Management of Multiple Full Cell Powered Applications Metadata

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  • Main Title Smart Energy Management of Multiple Full Cell Powered Applications


  • Author: Alam, Mohammad S.
    Creator Type: Personal


  • Sponsor: United States. Department of Energy. Office of Energy Efficiency and Renewable Energy.
    Contributor Type: Organization
    Contributor Info: USDOE - Office of Energy Efficiency and Renewable Energy (EE)


  • Name: University of South Alabama
    Place of Publication: United States


  • Creation: 2007-04-23


  • English


  • Content Description: 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.


  • Keyword: Hydrogen Production
  • Keyword: Hydrogen Production, Storage, Energy Management And Control
  • Keyword: Fuel Cell Power Plants
  • Keyword: Solar Cells Hydrogen Production, Storage, Energy Management And Control
  • STI Subject Categories: 30 Direct Energy Conversion
  • Keyword: Energy Conservation
  • Keyword: Load Management
  • Keyword: Hydrogen
  • Keyword: Operating Cost
  • Keyword: Fuel Cells
  • Keyword: Energy Management
  • Keyword: Control Systems


  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI


  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Report


  • Text


  • Report No.: 5-22895
  • Grant Number: FC36-04GO14243
  • DOI: 10.2172/902923
  • Office of Scientific & Technical Information Report Number: 902923
  • Archival Resource Key: ark:/67531/metadc888949