Incorporating social benefits in multi-objective optimization of forest-based bioenergy and biofuel supply chains

Cambero, Claudia; Sowlati, Taraneh

doi:10.1016/j.apenergy.2016.06.079

Cited by 151 publications

(47 citation statements)

References 39 publications

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“…In order to design sustainable biofuel supply chains, Yue et al [30] presented multi-objective MILP models in which the maximization of costs, minimization of greenhouse gas emissions, and maximization of job opportunities are the objective functions. Given various impacts of new created jobs based on their type and location, Cambero and Sowlati [10] developed an indicator in order to quantify the potential social benefit of forest-based bioenergy supply chains. They incorporated this social benefit into a multi-objective MILP model so as to maximize the social benefit, net present value, and greenhouse gas emission potential saving of the supply chain.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, the proposed credibility-based fuzzy chance constrained programming approach selects more locations than deterministic one to deal with epistemic uncertainty. Although, more locations will impose higher construction costs, it will avoid infeasibility of the model and save costs when realization of uncertain parameters [10].…”

Section: Fig 2 the Illustration Of The Second-generation Biodiesel mentioning

confidence: 99%

“…[6,7]), (2) mixed integer linear programming (e.g. [4,[8][9][10]), and (3) nonlinear programming (e.g. [11,12]).…”

Section: Introductionmentioning

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%

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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: Literature Reviewmentioning

confidence: 99%

Section: Fig 2 the Illustration Of The Second-generation Biodiesel mentioning

confidence: 99%

“…[6,7]), (2) mixed integer linear programming (e.g. [4,[8][9][10]), and (3) nonlinear programming (e.g. [11,12]).…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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“…After harvesting the cardoon and carthamus biomass, there is a need to collect the residues: cardoon and carthamus stalks. Furthering the analysis of the classification methodologies for biorefineries, the scientific community is focusing on several aspects such as biorefinery logistics [8,9], the type and quality of the produced biochemicals [10,11], and the overall environmental impacts [12].…”

Section: Introductionmentioning

confidence: 99%

Energy Opportunities from Lignocellulosic Biomass for a Biorefinery Case Study

et al. 2016

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This work presents some energy considerations concerning a biorefinery case study that has been carried out by the CRB/CIRIAF of the University of Perugia. The biorefinery is the case study of the BIT3G project, a national funded research project, and it uses the lignocellulosic biomass that is available in the territory as input materials for biochemical purposes, such as cardoon and carthamus. The whole plant is composed of several sections: the cardoon and carthamus seed milling, the oil refinement facilities, and the production section of some high quality biochemicals, i.e., bio-oils and fatty acids. The main goal of the research is to demonstrate energy autonomy of the latter section of the biorefinery, while only recovering energy from the residues resulting from the collection of the biomass. To this aim, this work presents the quantification of the energy requirements to be supplied to the considered biorefinery section, the mass flow, and the energy and chemical characterization of the biomass. Afterwards, some sustainability strategies have been qualitatively investigated in order to identify the best one to be used in this case study; the combined heat and power (CHP) technology. Two scenarios have been defined and presented: the first with 6 MWt thermal input and 1.2 MWe electrical power as an output and the second with 9 MWt thermal input and 1.8 MWe electrical power as an output. The first scenario showed that 11,000 tons of residual biomass could ensure the annual production of about 34,000 MWht, equal to about the 72% of the requirements, and about 9600 MWhe, equal to approximately 60% of the electricity demand. The second scenario showed that 18,000 tons of the residual biomass could ensure the total annual production of about 56,000 MWht, corresponding to more than 100% of the requirements, and about 14,400 MWhe, equal to approximately 90% of the electricity demand. In addition, the CO 2 emissions from the energy valorization section have been quantified and the possibility of re-using the CO 2 flow in order to produce methane is described.

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Decision support systems for assessment of biorefinery transformation strategies

et al. 2018

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The development of integrated biorefineries is one of the currently proposed strategies for transforming into a low carbon bio‐economy. Although different biorefining technologies can be integrated into host mills such as the Kraft and thermomechanical pulp processes, it is important to select the most appropriate technology taking into consideration the specificities and on‐site constraints. In this work, a decision support tool was developed and applied to industrial case studies for biorefinery implementation. Firstly, the tool was used for scenario‐based simultaneous analysis of the technical, economic, and environmental impacts in a single platform for different biorefinery implementation strategies. Its robustness and flexibility were demonstrated by two comprehensive industrial cases covering biorefinery transformation strategies for a Kraft pulp corporation involving three sites and a newsprint corporation with two sites. The tool made it possible to elucidate the advantages of lignin recovery implementation at modern and median Kraft pulping sites. Also, it revealed the objective basis for selecting between lignin recovery, hemicelluloses extraction, and thermochemical platforms biorefineries. The most suitable plant capacity for profitability was determined in the case of repurposing a median or average integrated newsprint mill into a biofuel production facility based on the pyrolysis platform. In a modern integrated newsprint mill, it was shown that phenol‐formaldehyde (PF) resins production can significantly decrease production costs, diversify the product portfolio, and mitigate risks associated with the core product line.

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Incorporating social benefits in multi-objective optimization of forest-based bioenergy and biofuel supply chains

Cited by 151 publications

References 39 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

Energy Opportunities from Lignocellulosic Biomass for a Biorefinery Case Study

Decision support systems for assessment of biorefinery transformation strategies

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