To support the implementation of biomass procurement practices, a formal, rigorous, consistent, science-based biomass quality control (QC) program is needed. This program should be designed to determine customer needs, the sources of product variation, and ways of eliminating or minimizing product variation as soon as it occurs. The program should also include a well-designed QC plan and sampling protocol, statistical process control methodologies and tools, formal QC teams, and regular training.
This report describes various statistical QC tools and demonstrates those using examples of biomass moisture content data. These tools can be developed in-house or be purchased, but their integration with existing databases (e.g., LIMS) is recommended. FPInnovations experts can assist in developing customized QC programs for companies and for specific biomass products, and can train QC teams to develop and use the tools presented here.
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Hardwood flour was biologically converted with 3 fungal species, and ammonium lignosulfonate was biologically modified with 3 enzyme cocktails.
Ten types of panels were made of bio-modified or unmodified wood flour and ammonium lignosulfonate. All panels were manufactured at target density (850 kg/m3), temperature (220°C), pressure (300 psi) and pressing time (220 sec) without any resin and additives.
Among all formulations, the biomaterials, consisted of bio-modified hardwood flour by the fungal specie 332A, or bio-modified ammonium lignosulfonate by enzymes extracted from 76A and 329A, were most effective and showed significantly higher internal bonding (IB) strengths.
Further investigation of the bio-modification of the kraft lignin for bio-composites is conducted in 2013-2014 financial year (ongoing) and will be reported in 2013-2014.
Linear programming is a technique used to determine the best (or optimal) solution to a problem where there are a number of competing and usually interrelated choices. The technique requires that each restriction on the problem being modeled be formulated as a linear equation. The model consists of a set of linear equations with more unknowns than equations and thus there are many possible solutions. In order to determine the best of these solutions, it is necessary to decide which criteria will be used to determine the best. Once the criteria (usually maximum profit or minimum cost) is chosen, an equation is set up giving the amount each variable (or activity) contributes to the criteria. The linear program then determines which solution will maximize or minimize this criteria. The LP described in this write up was written to determine the best process and set of process conditions for converting steam exploded Aspen wood into a variety of chemical feedstocks. The LP is designed to maximize profit based on the sales value of the chemicals produced, the cost of raw materials and the processing costs incurred. The model is restricted by the raw material availability, the utility and chemical requirements of each process step, the capacity of each process step and the market requirements for each chemical produced. This report will give a detailed description of the model structure, will discuss the validity of the data used in the model as well as future requirements, will discuss the running of the model on the computer and will discuss analysis of the LP solution.