Optimization of lignocellulosic biomass-to-biofuel supply chains with densification: Literature review

Albashabsheh, Nibal T.; Stamm, Jessica L. Heier

doi:10.1016/j.biombioe.2020.105888

Cited by 58 publications

(29 citation statements)

References 121 publications

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“…Many studies suggest increasing the bulk density of biomass to produce a dense intermediate feedstock more easily and more economically transportable. 22 Transportation modes of lignocellulosic biomass include roads, railways, waterways, pipelines and integrated-modes. 18 Road transport is mainly used for short distances (<100 km), characterized by low fixed costs, high flexibility in terms of accessed sites but higher variable costs.…”

Section: Introductionmentioning

confidence: 99%

Production of levulinic acid and alkyl levulinates: a process insight

et al. 2022

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Section: Introductionmentioning

confidence: 99%

Production of levulinic acid and alkyl levulinates: a process insight

et al. 2022

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“…In other study, Albashabsheh and Stamm [25] made a literature review for modeling and optimization studies of lignocellulosic biomass supply chains with densification processes. The authors found that baling is the most studied densification technique, while optimization modeling is the most common analysis method.…”

Section: Introductionmentioning

confidence: 99%

Optimization Issues of a Hammer Mill Working Process Using Statistical Modelling

et al. 2021

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Our paper presents the hammer mill working process optimization problem destined for milling energetic biomass (MiscanthusGiganteus and Salix Viminalis). For the study, functional and constructive parameters of the hammer mill were taken into consideration in order to reduce the specific energy consumption. The energy consumption dependency on the mill rotor spinning frequency and on the sieve orifices in use, as well as on the material feeding flow, in correlation with the vegetal biomass milling degree was the focus of the analysis. For obtaining this the hammer mill was successively equipped with 4 different types of hammers that grind the energetic biomass, which had a certain humidity content and an initial degree of reduction ratio of the material. In order to start the optimization process of hammer mill working process, 12 parameters were defined. The objective functions which minimize hammer mill energy consumption and maximize the milled material percentage with a certain specific granulation were established. The results obtained can serve as the basis for choosing the optimal working, constructive, and functional parameters of hammer mills in this field, and for a better design of future hammer mills.

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“…Other forms of mobile processing facilities were investigated by Albashabsheh and Heier Stamm [20] who incorporated mobile densification in a MILP model through the use of mobile pelleting machines to reduce transportation costs for ethanol production from lignocellulosic biomass. Albashabsheh and Heier Stamm [21] also reviewed densification as part of the biomass supply chain optimization, finding that pyrolysis and pelleting achieve the highest density intermediates, offering simpler and less expensive transportation and handling. An early study by Sharifzadeh et al [22] introduced centralized, decentralized and mobile pyrolysis plants in a MILP model integrating uncertainty.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing the Design of a Biomass-to-Biofuel Supply Chain Network Using a Decentralized Processing Approach

2022

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When designing biomass-to-biofuel supply chains, the biomass uncertainty, seasonality and geographical dispersion that affect economic viability need to be considered. This work presents a novel methodology that can optimize the design of biofuel supply chains by adopting a decentralized network structure consisting of a mix of fixed and mobile processing facilities. The model considers a variable biomass yield profile and the mobile fast pyrolysis technology. The mixed-integer linear programming model developed identifies the optimal biofuel production and biomass harvesting schedule schemes under the objective of profit maximization. It was applied in the case study of marginal lands in Scotland, which are assumed to be planted with Miscanthus. The trade-offs observed between economies of scale against the transportation costs, the effect of the relocation costs and the contribution of storage capacity were investigated. The results showed that, in most cases, harvesting is most concentrated during the month of the highest biomass yield, provided that storage facilities are available. Storage capacity plays an important role to widen the operational time window of processing facilities since scenarios with restricted or costly storage resulted in facilities of higher capacity operating within a narrower time window, leading to higher investment costs. Relocation costs proved to have a minor share in the total transportation costs.

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Optimization of lignocellulosic biomass-to-biofuel supply chains with densification: Literature review

Cited by 58 publications

References 121 publications

Production of levulinic acid and alkyl levulinates: a process insight

Production of levulinic acid and alkyl levulinates: a process insight

Optimization Issues of a Hammer Mill Working Process Using Statistical Modelling

Optimizing the Design of a Biomass-to-Biofuel Supply Chain Network Using a Decentralized Processing Approach

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