Smart Energy Management of Multiple Full Cell Powered Applications

Mohammad S. Alam

关键词: 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 contr;   

DOI  :  10.2172/902923
RP-ID  :  5-22895
PID  :  OSTI ID: 902923
Others  :  TRN: US200722%%336

学科分类：能源（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

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.