Metrics & Modeling Progress

IBSS creates tools and data to evaluate economic & environmental variables within large-scale bioenergy production systems, and finds data gaps for economic & environmental modeling of biomass-to-biofuels systems.

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Significant Metrics & Modeling Milestones

  • Optimized models have been used to generate data for economic as well as environmental performance metrics.

  • Supply chain modeling of costs and energy flows has been conducted for all IBSS feedstock systems.
  • Models of business establishments and employment patterns making up the value chains for advanced biofuels (based on switchgrass) have been analyzed using industry concentration measures and spatial analyses. 

  • Results from supply chain, engineering process and life cycle modeling efforts have been fully integrated and used to identify specific steps that may reduce costs, greenhouse gases and other environmental emissions. 

Significant Metrics & Modeling Accomplishments

  • Costs, productivity and environmental metrics have been used to populate financial and Life Cycle Analysis models to measure the benefits of poplar plantations in Southeastern landscapes. 
  • Developed a prototype of decision support system tool for feedstock producers. 
  • Logistics paths for switchgrass with costs estimated were modeled for several scenarios (e.g., round bale, stored on farm; square bale, stored on farm; field chop and haul to preprocessing facility).

  • NIR chemical composition models were developed for field-study switchgrass, hybrid poplar, as well as greenhouse-grown switchgrass. 

  • Chemical composition models reduce the time and cost of screening new feedstocks being generated for biofuel applications.

  •  Models built with IBSS crops developed for chemical traits such as ash and lignin content are being used for both IBSS and ARPA-E projects. 

  • Process simulation models have been developed for both gas-phase Fisher-Tropsch Synthesis (FTS) and supercritical phase FTS SCF-FTS using data obtained experimentally at Auburn University as part of the IBSS project.

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Metrics & Modeling Progress
Screening Pinus Taeda (loblolly Pine) Families For Physical And Mechanical Properties Using Vibrational Spectroscopy Apr 11, 2016
Prediction of mixed hardwood lignin and carbohydrate content using ATR-FTIR and FT-NIR Apr 08, 2016
Applications of aggregation theory to sustainability assessment Apr 08, 2016
A framework for selecting indicators of bioenergy sustainability Apr 08, 2016
Environmental impacts of bioethanol using the NREL biochemical conversion route: multivariate analysis and single score results Apr 08, 2016
Risks to global biodiversity from fossil-fuel production exceed those from biofuel production Apr 08, 2016
Incidence of MSDs and Neck and Back Pain among Logging Machine Operators in the Southern U.S. Apr 07, 2016
Economic evaluation of the conversion of industrial paper sludge to ethanol Apr 07, 2016
Near Infrared Spectroscopy Calibration for Wood Chemistry: Which Chemometric Technique Is Best for Prediction and Interpretation? Mar 30, 2016
Near Infrared Spectroscopy Calibration for Wood Chemistry: Which Chemometric Technique Is Best for Prediction and Interpretation? Mar 29, 2016
Economic analysis of municipal power generation from gasification of urban green wastes: case study of Fultondale, Alabama, USA Mar 18, 2016
Life-Cycle Assessment of Bioethanol from Pine Residues via Indirect Biomass Gasification to Mixed Alcohols Mar 18, 2016
Frictional properties of ground loblolly pine chips Mar 18, 2016
Modeling for proximate analysis and heating value of torrefied biomass with vibration spectroscopy Mar 18, 2016
Near infrared monitoring of untreated and chemically delignified wood Mar 18, 2016
More…
 
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