2016
DOI: 10.1016/j.apenergy.2016.06.037
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Optimization and GIS-based combined approach for the determination of the most cost-effective investments in biomass sector

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Cited by 36 publications
(16 citation statements)
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“…[17]. The model usually targets supply chain profit maximization or cost minimization [13,[18][19][20][21], or builds an economic and environmental multi-objective model [22][23][24], in addition, calculates supply chain energy considering the minimization of the input energy [12,25,26]. Most of the constructed models are mixed integer linear programming (MILP) models involving many equations and parameters, sometimes requiring some pre-processing and long solution times [27].…”
Section: Introductionmentioning
confidence: 99%
“…[17]. The model usually targets supply chain profit maximization or cost minimization [13,[18][19][20][21], or builds an economic and environmental multi-objective model [22][23][24], in addition, calculates supply chain energy considering the minimization of the input energy [12,25,26]. Most of the constructed models are mixed integer linear programming (MILP) models involving many equations and parameters, sometimes requiring some pre-processing and long solution times [27].…”
Section: Introductionmentioning
confidence: 99%
“…In the past, some studies published on the evaluation of the biomass energy potential, such as [4,[11][12][13][14], used a constant typical efficiency value. In their study, Brasil, Brasil Jr., and Malico [8] considered the electric efficiency dependence on the size of the power plant when calculating the electric energy potential of wood residues generated by the wood industry.…”
Section: Methodology For the Evaluation Of Electric Energy Potentialmentioning
confidence: 99%
“…The work [4] estimated the electric energy potential of wood residues and considered a typical and constant efficiency value taken from the literature and did not account for the dependency of the efficiency with the installed power. As another example of this approach, Singh [11] considered two different efficiencies of 20 and 25% in converting agricultural residues to electricity, while Vukašinović and Gordić [12] considered an efficiency of 35%, and Weldemichael and Assefa [13] considered an electrical energy efficiency of 33%.…”
Section: Determination Of the Energy Content Of Residuesmentioning
confidence: 99%
“…These locations should conform to the regions' possible environmental, economic and social interactions, and should have access to biomass/resources, and the power required for conversion technologies all through the year [14, 15]. Accordingly, a set of criteria grouped into those related to resources, environment, society, and economy is determined to find the location of bio-refineries according to the information existing in literature [42][43][44][45] and also quantitative/ qualitative information which can be obtained from consulting the experts of the national mapping agency of each country.…”
Section: The First Phase Of the Proposed Two-phase Approachmentioning
confidence: 99%