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Bioenergy Knowledge Discovery Framework
The Bioenergy Knowledge Discovery Framework (BioKDF) provides a centralized repository of datasets and reports and contributes decision criteria for each feedstock management; matrices regarding cost, performance, and life cycle impacts (e.g., on air and water quality); support to...
Davis, M. Office of Energy Efficiency & Renewable Energy
Nov 25, 2014
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
NREL Biomethane GIS Data
This dataset contains information about the biomass resources generated by county in the United States. It includes the following feedstock categories: crop residues, forest residues, primary mill residues, secondary mill residues, and urban wood waste.
The estimates are based ...
Milbrandt, A. National Renewable Energy Laboratory
Apr 25, 2016
2 Resources
0 Stars
Publicly accessible
2 Resources
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Corresponding Standard Reference Material Data used in Partial Least Squares Regression Models for Sugar Composition Estimates in Biomass in: Economic Impact of Yield and Composition Variation in Bioenergy Crops: Populus trichocarpa
Corresponding Standard Reference Material Data used in Partial Least Squares Regression Models for Sugar Composition Estimates in Biomass in: Economic Impact of Yield and Composition Variation in Bioenergy Crops: Populus trichocarpa (for corresponding manuscript: DOI: 10.1002/bbb....
Happs, R. et al National Renewable Energy Laboratory
Mar 16, 2022
1 Resources
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1 Resources
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Deep Green Unannotated Protein Structures
The Deep Green list is based on the identification and curation of conserved unannotated proteins in three green lineage (Viridiplantae) model organisms; Arabidopsis thaliana, Chlamydomonas reinhardtii, and Setaria viridis. Preliminary characterization of Deep Green proteins and g...
Knoshaug, E. et al National Renewable Energy Laboratory
Apr 20, 2023
4 Resources
0 Stars
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4 Resources
0 Stars
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Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass
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 samp...
Wolfrum, E. National Renewable Energy Laboratory
Nov 22, 2019
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
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Performance Analysis of a Stirling Engine Hybrid Power System
This project presents the performance analysis of a photovoltaic (PV)/Stirling battery system in terms of energy efficiency, economic feasibility, and environmental sustainability. The analysis includes the dynamic start-up and cooling phases of the system, and then compares its p...
Zabalaga, P. et al National Renewable Energy Laboratory
Dec 20, 2019
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
Publicly accessible
Development of Integrated Screening, Cultivar Optimization, and Verification Research (DISCOVR)
The objective of the DISCOVR consortia is to develop an integrated algae strain screening platform for the discovery of high-productivity and resilient strains of algae that can be cultivated outdoors year-round via crop rotation. The data includes annual weather data, algae culti...
Knoshaug, E. National Renewable Energy Laboratory (NREL)
Sep 01, 2016
12 Resources
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12 Resources
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FCIC FY18 LT-baseline Feedstock Images
Set of images taken during pilot plant dilute-acid hydrolysis preatreatment reactor operation. Images were taken with a GoPro Hero 5 with rectilinear lens facing downwards on a weigh-belt instrument. Image period was every 30 seconds during operation. This image set is connec...
Sievers, D. National Renewable Energy Laboratory
Jul 24, 2020
31 Resources
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31 Resources
0 Stars
Publicly accessible
Self-charging Zn-polymer Battery
This dataset supports the development and characterization of a bio-catalyzed oxidation self-charging zinc-polymer (Zn-PANI) battery system. The study introduces hemoglobin (Hb) as a catalytic additive in the polyaniline (PANI) cathode to enhance the autoxidation-driven self-charg...
Fan, H. et al Nanyang Technological University
Feb 01, 2024
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Biofuels, E-Fuels, and Hydrogen Cost and Performance Dataset
The Biofuels, E-fuels, and Hydrogen Cost and Performance dataset provides techno-economic assumptions as well as reference financial assumptions and scaling information, intended for potential use in sector and economy-wide models. The data include itemized elements of purchased e...
Vimmerstedt, L. et al National Laboratory of the Rockies (NLR)
Jul 15, 2026
0 Resources
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In progress
0 Resources
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In progress