Welcome to the Advanced Biofuels and Bioproducts Process Demonstration Unit. Part of the Lawrence Berkeley National Labs, we were established by the United States Department of Energy to help ramp up the bioeconomy.
Predictive modeling was used to evaluate and optimize traditional pretreatment methods for biomass mixture compositions to maximize sugar yield and minimize furfural production.read more
What We Offer
Meet Our Team
BETO is providing up to $40,000 per selected DOE National Laboratory proposal that focuses on one or more critical bioenergy small business challenge(s) by leveraging unique laboratory assets. Proposal submission deadline is July 31, 2016.
Bio-Malonic acid fermentation process to be validated at ABPDU and scaled at NREL
Feedstock conversions yields approach theoretical maximum
April 25-28, 2016
November 8-13, 2015
November 2-5, 2015
In a collaborative effort with INL, SNL, and JBEI, predictive modeling was used to evaluate and optimize traditional pretreatment methods for biomass mixture compositions to maximize sugar yield and minimize furfural production. The collaboration encompassed compositional analysis of feedstocks, solids loading during pretreatment for mixed feedstock, enzymatic hydrolysis on unwashed solids, and sugar and furfural analysis. Predictive modeling could effectively identify the pretreatment catalyst and treatment conditions for an “optimal” biomass mixture and the optimal biomass mixture for a particular pretreatment system.
A collaboration between ABPDU, INL, and SNL as to whether blends of municipal solid waste (MSW) and corn stover (CS) could meet cost and quality targets yielded valuable results. The team successfully developed an integrated process for ionic liquid (IL) based deconstruction technologies. They also demonstrated a 200-fold scale up MSW/CS blends IL acidolysis. The scale up attempt and process integration will leverage the opportunity towards a cost-effective sugar/lignin production technology.
Sixteen MSW blends provided by INL were screened using the 10mL tube reactor to identify the most promising blend (CS/MSW 4:1) for scaling up test based on the sugar yields as well as the feedstock cost. The collaboration also successfully demonstrated 600-fold (10mL to 6L) scale up of MSW/CS blends IL acidolysis.