Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass

Dataset · Thu Nov 21 23:00:00 EST 2019

DOI:https://doi.org/10.7799/1575072· OSTI ID:1575072

Wolfrum, Edward ^[1]

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1. National Renewable Energy Laboratory

Near-infrared (NIR) calibration models are created by applying multivariate calibration methods to the combination of wet chemistry data and NIR spectra of a given set of biomass samples. Wet chemical compositional data and NIR spectra exist for the following types of biomass samples: corn stover, switchgrass, mixed hardwoods, mixed softwoods, sorghum, and miscanthus. These samples may be feedstock samples, washed and dried solids from one or more pretreatment processes, liquors derived from one or more pretreatment processes, or whole pretreated slurries.

• Research Organization: National Renewable Energy Laboratory - Data (NREL-DATA), Golden, CO (United States); National Renewable Energy Laboratory
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies Office (EE-3B)
• Contributing Organization: National Renewable Energy Laboratory
• OSTI ID: 1575072
• Report Number(s): 123
• Availability: [e-mail]
• Country of Publication: United States
• Language: English

Related Subjects

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
NREL
data
energy