Editorial: Advancements in Biomass Feedstock Preprocessing: Conversion Ready Feedstocks

Hess, J. Richard; Ray, Allison E.; Rials, Timothy G.

doi:10.3389/fenrg.2019.00140

Cited by 13 publications

(11 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6,22−25 Biomass variability has proven a formidable challenge to downstream processing in the emerging biorefining industry, impeding feeding operations and reducing conversion yields and selectivity. 26 The U.S. DOE's Bioenergy Technologies Office (BETO) assembled a team to identify the key challenges faced by the industry. These challenges centered around feedstock variability, feeding and handling of solid materials, process scaleup, and valorization of waste and coproduct streams.…”

Section: ■ Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multiscale Characterization of Lignocellulosic Biomass Variability and Its Implications to Preprocessing and Conversion: a Case Study for Corn Stover

Ray

Williams

Hoover

et al. 2020

ACS Sustainable Chem. Eng.

Self Cite

View full text Add to dashboard Cite

Feedstock variability that originates from biomass production and field conditions propagates through the value chain, posing a significant challenge to the emerging biorefinery industry. Variability in feedstock properties impacts feeding, handling, equipment operations, and conversion performance. Feedstock quality attributes, and their variations, are often overlooked in assessing feedstock value and utilization for conversion to fuels, chemicals, and products. This study developed and employed a multiscale analytical characterization approach coupled with data analytic methods to better understand the sources and distribution of feedstock quality variability through evaluation of 24 corn stover bales collected in 4 counties of Iowa. In total, 216 core samples were generated by sampling nine positions on each bale using a reliable bale coring process. The samples were characterized for a broad suite of physicochemical properties ranging across field and bale, macro, micro, and molecular scales. Results demonstrated that feedstock quality attributes can vary at all spatial scales and that multiple sources of variability must be considered in order to establish and manage biomass quality for conversion processes.

show abstract

Section: ■ Introductionmentioning

confidence: 99%

“…Biomass variability has proven a formidable challenge to downstream processing in the emerging biorefining industry, impeding feeding operations and reducing conversion yields and selectivity . The U.S. DOE’s Bioenergy Technologies Office (BETO) assembled a team to identify the key challenges faced by the industry.…”

Section: Introductionmentioning

confidence: 99%

Multiscale Characterization of Lignocellulosic Biomass Variability and Its Implications to Preprocessing and Conversion: a Case Study for Corn Stover

Ray

Williams

Hoover

et al. 2020

ACS Sustainable Chem. Eng.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Second-generation biofuels (2GB), which were developed as a solution to some of the drawbacks associated with 1GB, can be produced from inedible feedstocks like waste cooking oil [127], waste animal fats [128], recovered oil [129], and lignocellulosic biomass, like grass, wood, sugarcane bagasse, agricultural residues, forest residues, and municipal solid waste [130,131], as well as from bioethanol, biodiesel, biosyngass, biomass to liquid biodiesel conversion, bio-oil, biohydrogen, bioalcohols, biodimethylfuran, and bio-Fischer-Tropsch [115,132]. The generation of 2GB does not affect the food chain and the cost of feedstocks is relatively low, but the production technologies are still complex and have not been commercialized yet [98,133].…”

Section: Second-generation Biofuelsmentioning

confidence: 99%

An Overview of the Classification, Production and Utilization of Biofuels for Internal Combustion Engine Applications

et al. 2021

View full text Add to dashboard Cite

Biofuel, a cost-effective, safe, and environmentally benign fuel produced from renewable sources, has been accepted as a sustainable replacement and a panacea for the damaging effects of the exploration for and consumption of fossil-based fuels. The current work examines the classification, generation, and utilization of biofuels, particularly in internal combustion engine (ICE) applications. Biofuels are classified according to their physical state, technology maturity, the generation of feedstock, and the generation of products. The methods of production and the advantages of the application of biogas, bioalcohol, and hydrogen in spark ignition engines, as well as biodiesel, Fischer–Tropsch fuel, and dimethyl ether in compression ignition engines, in terms of engine performance and emission are highlighted. The generation of biofuels from waste helps in waste minimization, proper waste disposal, and sanitation. The utilization of biofuels in ICEs improves engine performance and mitigates the emission of poisonous gases. There is a need for appropriate policy frameworks to promote commercial production and seamless deployment of these biofuels for transportation applications with a view to guaranteeing energy security.

show abstract

“…Constraint (7) calculates the in-feed rate based on the physical dimensions of a bale, its density, and conveyor speed. Constraint (8) ensures that every bale is processed. β + t and β − t calculate the change of reactor feeding rate from one period to the next.…”

Section: Continuous Variablesmentioning

confidence: 99%

“…Furthermore, investors are becoming reluctant to invest in the biofuel industry due to the high risks stemming from variability of biomass characteristics, market, and supply chain [7]. Sustainable operations of a biorefinery under biomass variations remains a challenge [8].…”

Section: Introductionmentioning

confidence: 99%

Optimal Control to Handle Variations in Biomass Feedstock Characteristics and Reactor In-Feed Rate

Kucuksayacigil,

Roni,

Eksioglu

et al. 2021

Preprint

View full text Add to dashboard Cite

The variations in feedstock characteristics such as moisture and particle size distribution lead to an inconsistent flow of feedstock from the biomass pre-processing system to the reactor in-feed system. These inconsistencies result in low on-stream times at the reactor in-feed equipment. This research develops an optimal process control method for a biomass preprocessing system comprised of milling and densification operations to provide the consistent flow of feedstock to a reactor's throat. This method uses a mixed-integer optimization model to identify optimal bale sequencing, equipment in-feed rate, and buffer location and size in the biomass pre-processing system. This method, referred to as the hybrid process control (HPC), aims to maximize throughput over time. We compare HPC with a baseline feed forward process control. Our case study based on switchgrass finds that HPC reduces the variation of a reactor's feeding rate by 100% without increasing the operating cost of the biomass pre-processing system for biomass with moisture ranging from 10 to 25%. A biorefinery can adapt HPC to achieve its design capacity.

show abstract

Editorial: Advancements in Biomass Feedstock Preprocessing: Conversion Ready Feedstocks

Cited by 13 publications

References 12 publications

Multiscale Characterization of Lignocellulosic Biomass Variability and Its Implications to Preprocessing and Conversion: a Case Study for Corn Stover

Multiscale Characterization of Lignocellulosic Biomass Variability and Its Implications to Preprocessing and Conversion: a Case Study for Corn Stover

An Overview of the Classification, Production and Utilization of Biofuels for Internal Combustion Engine Applications

Optimal Control to Handle Variations in Biomass Feedstock Characteristics and Reactor In-Feed Rate

Contact Info

Product

Resources

About