Green spherical icon of biomass plants growing in a row.

The Feedstock-Conversion Interface Consortium (FCIC) employs several tools and models to help researchers and industry overcome the obstacles of biomass variability. FCIC researchers have access to:

  • A physical sample repository and database for physical, chemical, and conversion performance characteristics of a variety of biomass feedstock
  • A model to determine dry matter loss from microbial degradation and moisture migration
  • A model that provides realistic impact estimates of biomass quality.

Bioenergy Feedstock Library

Idaho National Laboratory’s (INL’s) Bioenergy Feedstock Library is a biomass repository and research tool that contains information about the chemical, physical, and conversion performance properties of more than 90 crop types and factions from across the United States. The library provides tools to store, record, track, retrieve, and analyze data to help researchers and industry overcome challenges posed by biomass variability. INL’s library team has curated 30,000+ physical biomass samples and data for an additional 50,000+ samples. 

The library offers a range of fully characterized biomass samples to researchers and industry. These materials can be requested using the updated Biomass Request Page. Each sample comes with a reference sheet of extensive analytical data. The project portal, available to registered users, makes tracking and managing your own samples easier.

Learn more about the INL’s Bioenergy Feedstock Library.

Storage Numerical Simulation Models for Moisture Migration

For the FCIC, INL has developed a model for describing dry matter loss from microbial degradation and moisture migration. INL’s model uses numerical simulations to solve the partial differential equations describing the flow of air and water vapor through biomass material in four industrial-scale storage techniques:

  • Open storage or unprotected stacks
  • Tarped stacks
  • Permanent structures such as hoop sheds and pole barns
  • Anaerobic storage using wrapped stacks.

Each method has use in different conditions of climate, biomass cost, moisture content, storage duration, and timing of use.

Strategic Biomass Quality Impact Analysis

FCIC employs the Strategic Biomass Quality Impact Analysis model, which quantifies biomass logistics costs based on user-entered distributions of moisture, carbohydrate, and ash contents.

A daily time-step modeling approach was used to estimate the impacts of biomass quality on feedstock and biofuel production costs based on inputs for biomass production and quality, moisture content, dry matter loss, refinery operations, and economics. The model operates over a 365-day period and calculates the daily quantity of feedstock necessary to meet an annual fuel production goal. 


For more information, contact the FCIC.

Other Consortium Research and Capabilities

Learn about all of FCIC’s research areas and capabilities.

Return to FCIC home page.