• SubTitle: Feedstock-Conversion Interface Consortium
  • Source: Collaboration of U.S. Department of Energy, Oak Ridge National Laboratory, Idaho National Laboratory, National Renewable Energy Laboratory, and other research organizations

This consortium used ExtendSim to create the Integrated Biomass Supply Analysis & Logistics (IBSAL) model. This biomass supply chain model starts from defining the logistical features of the supply such as number of farms involved, average yield, the start and progress of harvest schedule, and the moisture content of the crop.

The model also requires daily weather data such as temperature, relative humidity, wind speed, rainfall and snow fall. A spreadsheet containing equipment specifications provides data for calculating service times. This information is used in calculating drying and wetting of the biomass and workability of the soil. The user also defines the safe moisture content for baling and minimum temperature below which farm operations will cease. Once all input parameters are identified, the model calculates costs per ton of biomass, energy input and emissions (CO2) from equipment.