Power Conditioning of Fuel Cell Systems by gyvwpsjkko

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									Power Conditioning of
  Fuel Cell Systems

        Presenter:
      Paul Barendse


      3 November 2009
            Overview


   Introduction
   Power Management of CHP Systems
    –   Motivation and Rationale
    –   Goals and Objectives
    –   Project Team
    –   Proposed Human Resource Development
    –   Progress to date



                                          •2
             Introduction


   UCT has been identified as the Spoke in Power
    Management of Fuel Cell Systems

   Two focus areas have been identified :
    –   Power management for CHP Systems
    –   Power management for Portable Power Systems

   Proposal for the project on CHP Systems has
    been approved

                                                •3
       Power Management of CHP Systems


   Motivation and Rationale
   Goals and Objectives
   Project Team
   Proposed Human Resource Development
   Progress to date




                                     •4
         Motivation and Rationale


 Global factors, favour highly efficient power
  systems with low pollutant emissions
 To provide low cost and reliable energy delivery
  to a consumer with reduced greenhouse gas
  emissions, new technology must be developed.
 Fuel cells are an important technology of the
  proposed hydrogen economy.
 They have the potential to revolutionize the way
  power is generated and offer cleaner, more
  efficient alternatives to the combustion of fossil
  fuels.
                                            •5
             Motivation and Rationale


 Combined heat and power (CHP) systems based
  on PEM fuel cell technology can be an efficient
  option for industrial and domestic applications.
 A fuel cell CHP-system consists of four main
  components
    –   a fuel processor to generate hydrogen-rich gas,
    –   a fuel cell stack to generate electricity,
    –   an electrical storage system to store or release
        electricity,
    –   a power conditioner to convert the DC generated by the
        fuel into usable AC power.

                                                    •6
               Goals and Objectives


      The goals of this project are to:

       –   test and develop power management systems for
           CHP applications
       –   develop skilled human resources in the area of
           power management of CHP systems




•3 November                                      •7
            Goals and Objectives


    Long Term Goals (15 years):
1.   Evaluate and test batteries and power conditioning equipment
     suitable for HT PEMFC based CHP systems
2. Develop a model for a HT PEM fuel cell.
3. Design and build a PEM fuel cell emulator
4. Undertake fault diagnostics and prediction of HT PEMFC life
   expectancy
5. Optimize control strategies for 1-5 kW CHP system based on
   HT PEMFC
6. Integrate batteries and power conditioning devices with HT
   PEMFC stack into the CHP system and validate the electrical
   performance                                        •8
           Project Team

   Prof. P. Pillay – fuel cell modeling and electric
    machines and drives
   Dr. P. Barendse – power electronics, signature
    analysis, diagnostics
   Dr. M.A. Khan – machine design, wind systems
   Prof. S.P. Chowdhury – power systems, grid
    integration of renewable energy sources, micro
    grids
   Supported by post graduate research students
    and technical personnel

                                             •9
              Previous fuel cell output


   Gebregergis, A.; Pillay, P.; Bhattacharyya, D.; Rengaswemy, R.;Solid Oxide Fuel
    Cell Modeling. Industrial Electronics, IEEE Transactions on Volume 56, Issue
    1, Jan. 2009 Page(s):139 - 148 Digital Object Identifier
    10.1109/TIE.2008.2009516
   Gebregergis, A.; Pillay, P.; Rengaswemy, R.;PEMFC Fault Diagnosis, Modeling,
    and Mitigation. Industry Applications Society Annual Meeting, 2008. IAS '08.
    IEEE
    5-9 Oct. 2008 Page(s):1 – 8. Digital Object Identifier 10.1109/08IAS.2008.134
   Gebregergis, A.; Pillay, P.; Implementation of Fuel Cell Emulation on DSPand
    dSPACE Controllers in the Design of Power Electronic Converters
    Industry Applications Society Annual Meeting, 2008. IAS '08. IEEE
    5-9 Oct. 2008 Page(s):1 – 8 Digital Object Identifier 10.1109/08IAS.2008.133
   Gebregergis, A.; Pillay, P. The Development of Solid Oxide Fuel Cell (SOFC)
    Emulator
    Power Electronics Specialists Conference, 2007. PESC 2007. IEEE
    17-21 June 2007 Page(s):1232 - 1238
    Digital Object Identifier 10.1109/PESC.2007.4342169

                                                                     •10
           Proposed Human Resource
           (HR) Development

   HR capacity development envisaged over the
    next five years for the project is as follows:
     Degree/Rank Black      White        Total
     Research    1          0            1
     Officer
     Doctoral    1          0            1
     Masters     4          2            6
     Honours     8          4            12


   3xMSc students have already been identified

                                                 •11
           Progress to date


   Finalising the contract
   Identified institutes for possible collaboration i.e.
    Concordia University, University of Technology of
    Belfort Montbeliard, Texas Tech University.
   Started research on the modelling and emulator
    aspects of the project
   2xUndergraduate students have investigated
    models and emulators, both mathematical and
    empirical
                                              •12
         Models
      Analytical Models
•   Theoretically based              Vout = En - Vact - Vohmic - Vcon




                          Voltage Losses
•   Investigates                                         Vact =(RT/2αF) ln(z + √(1+z 2))
    fundamentals of                                      Vohmic = ifcr + Vanode - Vcathode
    maths and physics                                    Vcon = (RT/2F)In(1 – ifc/il)
    of FC’s                                              1.4


                                                         1.2



•   simple analytical                                     1


                                                         0.8




                                           Voltage (V)
    modelling                                            0.6


                                                         0.4




•   Complex analytical                                   0.2


                                                          0
                                                               0   100   200   300   400     500     600   700   800   900



    modelling
                                                                               Current Density (mA/cm2)
         Models
      Empirical Models
•   Experimentally
    based                  Example: Electro-
                            Chemical Impedance
•   Introduced to reduce    Spectography (EIS)
    complexities from       method
    analytical models
•   Emergence of
    empirical formulae
    which yield good
    results.
              Emulator

        Schematic




(Adapted from Dachuan & Yuvarajan (2004))

Experimental System
         Recent Activities

   Attended a course on Fuel Cells, hosted by
    ZSW in Germany




                                        •16
Baie Dankie

Thank you

  Enkosi

Asante sana

              •17

								
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