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dc.contributor.authorMashor Housh
dc.contributor.authorXiming Cai
dc.contributor.authorTze Ling Ng
dc.contributor.authorGregory F. McIsaac
dc.contributor.authorYanfeng Ouyang
dc.contributor.authorMadhu Khanna
dc.contributor.authorMurugesu Sivapalan
dc.contributor.authorAtul K. Jain
dc.contributor.authorSteven Eckhoff
dc.contributor.authorStephen Gasteyer
dc.contributor.authorImad Al-Qadi
dc.contributor.authorYun Bai
dc.contributor.authorMary A. Yaeger
dc.contributor.authorShaochun Ma
dc.contributor.authorYang Song
dc.date.accessioned2017-05-08T22:13:03Z
dc.date.available2017-05-08T22:13:03Z
dc.date.copyrightSeptember 2015
dc.date.issued2015
dc.identifier.other39877164.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/73940
dc.description.abstractThis paper presents a system of systems (SoS) Biofuel model considering the interdependency among the systems involved in biofuel development, including biofuel refinery location, transportation infrastructure, agricultural production and markets, environment, and social communities. The model provides the optimal infrastructure development and land-use allocation for biofuel production in a region considering socio-economic and water quality and quantity effects. The optimal development plan quantifies economic and hydrologic outputs and specifies biofuel refinery locations and capacities, refinery operations, land allocation between biofuel and food crops, optimal shipments of products and feedstock, and transportation infrastructure. The model is formulated as a mixed integer linear program (MILP) and is solved by an algorithm developed specifically to cope with the large size of the optimization problem. In addition to the development of the SoS-Biofuel model, this paper demonstrates the functionality of the model and its ability to analyze the effects of interdependency among subsystems by applying it to a watershed in Illinois. The SoS-Biofuel model is used to investigate the effects of different biofuel polices on infrastructure needs and related environmental consequences, highlighting the interdependencies inherent in the optimal development of the entire system.
dc.publisherAmerican Society of Civil Engineers
dc.titleSystem of Systems Model for Analysis of Biofuel Development
dc.typeJournal Paper
dc.journal.volume21
dc.journal.issue3
dc.journal.titleJournal of Infrastructure Systems
dc.identifier.doi10.1061/(ASCE)IS.1943-555X.0000238
dc.treeJournal of Infrastructure Systems:;2015:;Volume ( 021 ):;issue: 003
dc.contenttypeFulltext


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