FSU Research Network Energy Materials Biomass Solar Electric - - PowerPoint PPT Presentation

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FSU Research Network Energy Materials Biomass Solar Electric - - PowerPoint PPT Presentation

FSU Research Network Energy Materials Biomass Solar Electric energy & power Objective : To develop a biorefinery concept to produce biofuels and value added chemicals in an economic, efficient and continuous manner. S. Ramakrishnan,


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FSU Research Network

Energy Materials Biomass Solar Electric energy & power

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SLIDE 2

Glucose Xylose Galactose Arabinose Mannose Glucuronic Acid

Residual Solid Lignin Fraction Soluble Glucose

Highly Accessible Cellulosic Fraction Cellulose/Lignin Rich Substrate

Soluble Hemicellulosic Sugars

Dilute Acid Treatment NMMO Treatment Enzymatic Hydrolysis

  • Objective: To develop a biorefinery concept to produce biofuels and value added

chemicals in an economic, efficient and continuous manner.

  • S. Ramakrishnan, J. Telotte and J. Collier (Chem. Eng.)
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  • Battery research (AME)

– Materials synthesis, characterization, modeling, and packaging

  • Power grids (CAPS)

– Control systems, hardware-in-the-loop

  • Solar energy (Chem./Physics/Eng.)

– Photonic materials research

  • Battery research (AME)

– Materials synthesis, characterization, modeling, and packaging

  • Power grids (CAPS)

– Control systems, hardware-in-the-loop

  • Solar energy (Chem./Physics/Eng.)

– Photonic materials research

  • Battery research (AME)

– Materials synthesis, characterization, modeling, and packaging

  • Power grids (CAPS)

– Control systems, hardware-in-the-loop

  • Solar energy (Chem./Physics/Eng.)

– Photonic materials research

Electric and Solar Energy Research

Assembly Machines/Dry Room Characterization Material Preparation Nanostructure

So la r Wa te r Splitting

Molecular Photophysics OLEDs

Pla smo nic Crysta l

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Wind Energy and Flow Control

  • Steven Cook & Shawn Smith (COAPS), Mark

Powell (NOAA)

  • Physical based models predict loss (on average)
  • f 2 turbines vs. prior prediction of 24 turbines
  • Rajan Kumar and Farrukh Alvi (Mech. Eng.)
  • Polysonic Wind Tunnel:

– Large Mach number range (0.2 to 5), 12-in. test- section and advanced diagnostics is a unique, shared resource – NSF MRI ($3.3M) & FSU AME $25M facility