Dana Johnson
dana@mtu.edu
Michigan Technological University
Dana Johnson
dana@mtu.edu
Michigan Technological University
Fengli Zhang
fengliz@mtu.edu
Dept. of Mechanical Engineering
Michigan Technological University
Mark Johnson
marjohns@mtu.edu
School of Technology
Michigan Technological University
Woody biomass feedstock can include logs, forest residues, and energy crops. We want to know how many biorefineries can be supported by the current and future feedstock in the northern lower peninsula of Michigan, and what the optimum locations and sizes of these refineries might be. Is there sufficient material to support more biorefineries in Michigan given that biomass is currently needed by biomass-fired utility operations, pulp and paper mills, and a planned biorefinery in Michigan’s Upper Peninsula? The distributed nature of biomass feedstock, and the cost and methods of biomass recovery operations add complexity to these questions, which are critical for increasing biomass energy production in Michigan.
A series of steps that we used to address these questions are as follows: First, we developed a Geographic Information System (GIS)-based multi-criteria approach to select the best facility locations for biofuel production. Second, we used a simulation tool to address uncertainties in the transportation and storage of biomass (e.g., timing of spring melt). Last, we used a multi-objective optimization technique to identify optimal decisions and evaluate the economic,environmental, and societal impacts of using forest resources as feedstock for biofuel production in Michigan.
Several products have been developed and are available below. The optimization model is now available for download, along with a tutorial and user instructions. A final project report and additional publications and background documents are also included.
Models:
Final Report:
Additional publications and background Documents: