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Title: Smart Energy Management of Multiple Full Cell Powered Applications

Abstract

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 objectivesmore » 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.« less

Authors:
Publication Date:
Research Org.:
University of South Alabama
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
902923
Report Number(s):
5-22895
TRN: US200722%%336
DOE Contract Number:  
FC36-04GO14243
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
30 DIRECT ENERGY CONVERSION; CONTROL SYSTEMS; ENERGY CONSERVATION; ENERGY MANAGEMENT; FUEL CELL POWER PLANTS; FUEL CELLS; HYDROGEN; HYDROGEN PRODUCTION; LOAD MANAGEMENT; OPERATING COST; SOLAR CELLS; Hydrogen production, storage, energy management and control

Citation Formats

Mohammad S. Alam. Smart Energy Management of Multiple Full Cell Powered Applications. United States: N. p., 2007. Web. doi:10.2172/902923.
Mohammad S. Alam. Smart Energy Management of Multiple Full Cell Powered Applications. United States. doi:10.2172/902923.
Mohammad S. Alam. Mon . "Smart Energy Management of Multiple Full Cell Powered Applications". United States. doi:10.2172/902923. https://www.osti.gov/servlets/purl/902923.
@article{osti_902923,
title = {Smart Energy Management of Multiple Full Cell Powered Applications},
author = {Mohammad S. Alam},
abstractNote = {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.},
doi = {10.2172/902923},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Apr 23 00:00:00 EDT 2007},
month = {Mon Apr 23 00:00:00 EDT 2007}
}

Technical Report:

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