[en] This report summarized the results obtained in FY2017 Q3 of a collaborative effort between researchers at NREL, PNNL, and INL to develop rapid screening methods and models to predict the fact pyrolysis conversion performance of a range of biomass materials.

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[en] In this paper, a modified version of the Direct LSC method to correct for quenching effect was investigated for the determination of bio-originated fuel content in fuel samples produced from multiple biological starting materials. The modified method was found to be accurate in determining the percent bio-originated fuel to within 5% of the actual value for samples with quenching effects ≤43%. Finally, analysis of highly quenched samples was possible when diluted with the exception of one sample with a 100% quenching effect.

[en] Meeting Co-Optima biofuel production targets will require large quantities of mobilized biomass feedstock. Mobilization is of key importance as there is an abundance of biomass resources, yet little is available for purchase, let alone at desired quantity and quality levels needed for a continuous operation, e.g., a biorefinery. Therefore Co-Optima research includes outlining a path towards feedstock production at scale by understanding routes to mobilizing large quantities of biomass feedstock. Continuing along the vertically-integrated path that pioneer cellulosic biorefineries have taken will constrain the bioenergy industry to high biomass yield areas, limiting its ability to reach biofuel production at scale. To advance the cellulosic biofuels industry, a separation between feedstock supply and conversion is necessary. Thus, in contrast to the vertically integrated supply chain, two industries are required: a feedstock industry and a conversion industry. The split is beneficial for growers and feedstock processers as they are able to sell into multiple markets. That is, depots that produce value-add feedstock intermediates that are fully fungible in both the biofuels refining and other, so-called companion markets. As the biofuel industry is currently too small to leverage significant investment in up-stream infrastructure build-up, it requires an established (companion) market to secure demand, which de-risks potential investments and makes a build-up of processing and other logistics infrastructure more likely. A common concern to this theory however is that more demand by other markets could present a disadvantage for biofuels production as resource competition may increase prices leading to reduced availability of low-cost feedstock for biorefineries. To analyze the dynamics across multiple markets vying for the same resources, particularly the potential effects on resource price and distribution, the Companion Market Model (CMM) has been developed in this task by experts in feedstock supply chain analysis, market economics, and System Dynamics from the Idaho National Laboratory and MindsEye Computing.

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[en] Energy potential of different parts of willow plants has been estimated by means of calorific bomb. The experiments were conducted on the base of clone TURBO on Volma station. The mathematic model of assessment of energy potential of willow biomass has been developed. (authors)

[en] This viewpoint article offers the proposition that purpose-grown biomass buried in landfills constitutes a 'virtual' biofuel that is more practical, economic, and immediate than the use of actual biofuels from cellulosics. While not a permanent solution, it may be a useful bridge to the hoped-for era of actual biofuels prior to the time technology for economically converting cellulosics to actual liquid biofuels is realized

[en] The well-to-wheel (WtW) results of biomass-based chains are found to be significantly sensitive to changes in the elements of the chain model such as the land use change. Our new standardization model is based on the conviction that the synthesis of a statistical aggregate of the possibilities that are defined by the major models in the field including GREET and GEMIS would build reliability into the result by buffering against the changes in the elements of the chain model. In this paper we assess a chosen set of biomass-based chains in terms of energy and GHG emissions using the innovative concept of the standardization transport model (STM). Hydrogen was found to be very attractive with the use of waste wood. On the other hand, sugar ethanol was found to be a promising fuel for the reduction of GHG emissions. Unfavorable land use changes and high fertilizers use should be avoided to maximize confidence in significant reductions from sugar ethanol. - Highlights: ► We generate the standardization transport model (STM). ► We measure the uncertainty of well-to-wheel results with the use of biomass. ► Hydrogen from waste wood is a very attractive second generation transport fuel. ► Bioethanol from sugar is a promising first generation transport fuel.