The Digest’s 2024 Multi-Slide Guide to Feedstock Variability

Industry needs to understand key sources of biomass variability (e.g., growth conditions, harvest conditions, storage degradation) to identify and quantify CMA distributions that propagate across unit operations to inform cost-effective management of variability. A team of researchers is working to identify and quantify the initial distribution of feedstock critical material attributes (CMAs) and inform strategies to manage this variability. Feedstock suppliers, process designers, and equipment manufacturers can benefit from this fundamental knowledge of drivers that are critical to derisking the industry.  Bryon Donohoe of National Renewable Energy Laboratory and Ling Ding of NREL and  Idaho National Laboratory presented these slides at DOE Project Peer Review on the progress to date.