Particle Separation Control for Efficient Biofuel Energy Generation

This project involved development and application of computational methods for prediction of particle separation and mixing in problems related to biofuel production from algae. The computational method employed a multiscale complex systems framework, using an agent-based mesoscale model with individual algae "particles" as individual agents. Optimized, low-energy mixing processes are important in the design of efficient algae reactors. Efficient particle separation technologies are important in extraction of algae from the surrounding water prior to oil extraction.

• Record URL:
  https://ntlrepository.blob.core.windows.net/lib/43000/43500/43511/Record_190.pdf
• 
• Supplemental Notes:
  • Program Information: Advanced Research, Renewable Transport Systems

Language

• English

Project

• Status: Completed
• Funding: $235341.00
• Contract Numbers:

  DTOS5906G00048

• Sponsor Organizations:

  Research and Innovative Technology Administration

  Office of Research, Development, and Technology
  1200 New Jersey Avenue, SE
  Washington, DC    20590
• Project Managers:

  Tucker-Thomas, Dawn

• Performing Organizations:

  University of Vermont, Burlington

  Office of the Vice President for Research and Dean of the Graduate College
  Burlington, VT    05405
• Principal Investigators:

  Burkins, Melody

• Start Date: 20020918
• Expected Completion Date: 0
• Actual Completion Date: 20100929
• Source Data: RiP Project 35408

Subject/Index Terms

• TRT Terms: Algae; Biomass fuels; Particles
• Uncontrolled Terms: Agent based models; Mesoscale; Separation
• Subject Areas: Energy; Transportation (General);

Filing Info

• Accession Number: 01494542
• Record Type: Research project
• Source Agency: Department of Transportation
• Contract Numbers: DTOS5906G00048
• Files: RIP
• Created Date: Sep 27 2013 1:00AM