Design of bioethanol green supply chain: Comparison between first and second generation biomass concerning economic, environmental and social criteria

Miret, Carlos; Chazara, Philippe; Montastruc, Ludovic; Negny, Stéphane; Domenech, Serge

doi:10.1016/j.compchemeng.2015.10.008

Cited by 141 publications

(71 citation statements)

References 42 publications

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“…Constraints (12) and (13) illustrate that at most, one capacity expansion level can be selected in the next periods. Constraint (14) ensures that only one of the capacity levels considered for established JCL supply centers can be selected. Constraints (15) and (16) bind the maximum number of facilities that can be established.…”

Section: Continuous Decision Variablesmentioning

confidence: 99%

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A benders-local branching algorithm for second-generation biodiesel supply chain network design under epistemic uncertainty

Babazadeh

Ghaderi

Pishvaee

2019

Computers & Chemical Engineering

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This paper proposes a possibilistic programming model in order to design a second-generation biodiesel supply chain network under epistemic uncertainty of input data. The developed model minimizes the total costs of the supply chain from supply centers to the biodiesel and glycerin consumer centers. Waste cooking oil and Jatropha plants, as non-edible feedstocks, are considered for biodiesel production. To cope with the epistemic uncertainty of the parameters, a credibility-based possibilistic programming approach is employed to convert the original possibilistic programming model into a crisp counterpart. An accelerated benders decomposition algorithm using efficient acceleration mechanisms is devised to deal with the computational complexity of solving the proposed model in an efficient manner. The performance of the proposed possibilistic programming model and the efficiency of the developed accelerated benders decomposition algorithm are validated by performing a computational analysis using a real case study in Iran.

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Section: Continuous Decision Variablesmentioning

confidence: 99%

“…Multi-criteria decision-making methods are classified into two groups, including (1) multi-attribute decision-making methods [13] and (2) multi-objective decision-making methods (e.g. [10,14,15]). Heuristic and metaheuristic algorithms (e.g.…”

Section: Introductionmentioning

confidence: 99%

A benders-local branching algorithm for second-generation biodiesel supply chain network design under epistemic uncertainty

Babazadeh

Ghaderi

Pishvaee

2019

Computers & Chemical Engineering

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“…it is assumed that during each time period a given fraction of stored products deteriorates and cannot be used. Miret et al (2016) take into account biomass deterioration during the storage by considering a given (fixed) deterioration rate for each product. To consider perishability Bortolini et al (2016) propose a quality function, which describes shelf life, to evaluate the quality decrease over the time and the related market purchase probability.…”

Section: Model Characteristicsmentioning

confidence: 99%

Multi-criteria decision making approaches for green supply chains: a review

et al. 2016

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Designing Green Supply Chains (GSCs) requires complex decisionsupport models that can deal with multiple dimensions of sustainability while taking into account specific characteristics of products and their supply chain. Multi-Criteria Decision Making (MCDM) approaches can be used to quantify trade-offs between economic, social, and environmental criteria i.e. to identify green production options. The aim of this paper is to review the use of MCDM approaches for designing efficient and effective GSCs. We develop a conceptual framework to find relevant publications and to categorise papers with respect to decision problems, indicators, and MCDM approaches. The analysis shows that (1) the use of MCDM approaches for designing GSCs is a rather new but emerging research field, (2) most of the publications focus on production and distribution problems, and there are only a few inventory models with environmental considerations, (3) the majority of papers assume all data to be deterministic, (4) little attention has been given to minimisation of waste, (5) numerous indicators are used to account for eco-efficiency, indicating the lack of standards. This study, therefore, identifies the need for

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“…Lignocellulosic biomass is regarded as an attractive substrate for a wide range of potential uses because of its renewability, large available quantities, and potential environmental benefits (Miret et al 2016). However, after pretreatment and hydrolysis, the hydrolysates from lignocellulose, which are mainly composed of glucose and xylose, are accompanied by many inhibitors, such as furfural and acetic acid.…”

Section: Introductionmentioning

confidence: 99%

Hybridization Improves Inhibitor Tolerance of Xylose-fermenting Saccharomyces cerevisiae

Li¹,

Zhu²,

Li³

et al. 2017

BioResources

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Although some engineered S. cerevisiae strains exhibit good xylose utilization ability, the lack of tolerance to inhibitors generated in biomass pretreatment limits the application of such strains in the production of bioethanol from lignocellulosic biomass. By applying a sexual mating method, inhibitor tolerance was developed in xylose-utilizing strains. The final ethanol concentrations in simultaneous scarification and cofermentation (SScF) process at 38 °C with hybrid strains were 50% higher than the SScF process with the xylose-fermenting parent strain. The strain viability of the hybrid strain E7-12 at 24 h was 282 times higher than the parent strain in the SScF process at 25% solid loading. Due to the improved sugar utilization, the final ethanol concentration reached 69.7 g/L (E7-11) and 70.0 g/L (E7-12), which were 25.3 g/L and 25.6 g/L higher than that of SScF with the xylose-fermenting strain, respectively.

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Design of bioethanol green supply chain: Comparison between first and second generation biomass concerning economic, environmental and social criteria

Abstract: OATAO is an open access repository that collects the work of some Toulouse researchers and makes it freely available over the web where possible.

Cited by 141 publications

References 42 publications

A benders-local branching algorithm for second-generation biodiesel supply chain network design under epistemic uncertainty

A benders-local branching algorithm for second-generation biodiesel supply chain network design under epistemic uncertainty

Multi-criteria decision making approaches for green supply chains: a review

Hybridization Improves Inhibitor Tolerance of Xylose-fermenting Saccharomyces cerevisiae

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