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Techno-economic analysis of decentralized biomass processing depots

pmid: 26196421
Decentralized biomass processing facilities, known as biomass depots, may be necessary to achieve feedstock cost, quantity, and quality required to grow the future U.S. bioeconomy. In this paper, we assess three distinct depot configurations for technical difference and economic performance. The depot designs were chosen to compare and contrast a suite of capabilities that a depot could perform ranging from conventional pelleting to sophisticated pretreatment technologies. Our economic analyses indicate that depot processing costs are likely to range from ∼US$30 to US$63 per dry metric tonne (Mg), depending upon the specific technology implemented and the energy consumption for processing equipment such as grinders and dryers. We conclude that the benefits of integrating depots into the overall biomass feedstock supply chain will outweigh depot processing costs and that incorporation of this technology should be aggressively pursued.
- Idaho National Engineering Laboratory United States
- Idaho National Engineering Laboratory United States
- Idaho National Laboratory United States
- Michigan Biotechnology Institute United States
- Michigan Biotechnology Institute United States
Environmental Engineering, Bioengineering, Humidity, Advanced biomass supply system, Bioeconomy, Biorefinery, Feedstock logistics, Ammonia, Costs and Cost Analysis, Biomass depot, Biomass, Waste Management and Disposal, Acids, Biotechnology
Environmental Engineering, Bioengineering, Humidity, Advanced biomass supply system, Bioeconomy, Biorefinery, Feedstock logistics, Ammonia, Costs and Cost Analysis, Biomass depot, Biomass, Waste Management and Disposal, Acids, Biotechnology
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).141 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
