Biomass-to-bioenergy and biofuel supply chain optimization: Overview, key issues and challenges

Yue, Dajun; You, Fengqi; Snyder, Seth W.

doi:10.1016/j.compchemeng.2013.11.016

Cited by 617 publications

(298 citation statements)

References 113 publications

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“…Biofuel models and optimization tools can be used to address the sustainability issues associated with biofuel supply chains in terms of environment, society, and economy [45]. In this study, a mixed integer linear program (MILP) [46], BeWhere, is used to optimize the choice of technology for producing energy products and services in sugarcane biorefineries.…”

Section: Methodsologymentioning

confidence: 99%

Optimizing ethanol and bioelectricity production in sugarcane biorefineries in Brazil

et al. 2016

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a b s t r a c tIn sugarcane biorefineries, the lignocellulosic portion of the sugarcane biomass (i.e. bagasse and cane trash) can be used as fuel for electricity production and/or feedstock for second generation (2G) ethanol. This study presents a techno-economic analysis of upgraded sugarcane biorefineries in Brazil, aiming at utilizing surplus bagasse and cane trash for electricity and/or ethanol production. The study investigates the trade-off on sugarcane biomass use for energy production: bioelectricity versus 2G ethanol production. The BeWhere mixed integer and spatially explicit model is used for evaluating the choice of technological options. Different scenarios are developed to find the optimal utilization of sugarcane biomass. The study finds that energy prices, type of electricity substituted, biofuel support and carbon tax, investment costs, and conversion efficiencies are the major factors influencing the technological choice. At the existing market and technological conditions applied in the upgraded biorefineries, 300 PJ y À1 2G ethanol could be optimally produced and exported to the EU, which corresponds to 2.5% of total transport fuel demand in the EU. This study provides a methodological framework on how to optimize the alternative use of agricultural residues and industrial co-products for energy production in agro-industries considering biomass supply chains, the pattern of domestic energy demand, and biofuel trade.

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Section: Methodsologymentioning

confidence: 99%

Optimizing ethanol and bioelectricity production in sugarcane biorefineries in Brazil

et al. 2016

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“…Yue et al [11] categorised biomass supply chain publications according to type of problem being solved 100 (e.g. supply chain design, planning and operation, multi-objective optimisation etc.)…”

Section: Literature Reviewmentioning

confidence: 99%

BVCM: A comprehensive and flexible toolkit for whole system biomass value chain analysis and optimisation – Mathematical formulation

Samsatli

Shah

2015

Applied Energy

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“…Biofuels can be classified based on their production technologies: firstgeneration biofuels; second generation biofuels; third generation biofuels; and fourth generation biofuels (Yue et al, 2014) and the focus of this work is on the 'second generation' biofuels. First-generation biofuels are made from the sugars which can be obtained from crops using conventional technology and are fully commercialized.…”

Section: Introductionmentioning

confidence: 99%

Optimization of biofuel production from corn stover under supply uncertainty in Ontario

et al. 2017

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Biomass-to-bioenergy and biofuel supply chain optimization: Overview, key issues and challenges

Cited by 617 publications

References 113 publications

Optimizing ethanol and bioelectricity production in sugarcane biorefineries in Brazil

Optimizing ethanol and bioelectricity production in sugarcane biorefineries in Brazil

BVCM: A comprehensive and flexible toolkit for whole system biomass value chain analysis and optimisation – Mathematical formulation

Optimization of biofuel production from corn stover under supply uncertainty in Ontario

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