Food webs: Realizing biological inspiration for sustainable industrial resource networks

dc.contributor.advisor Bras, Berdinus A.
dc.contributor.author Layton, Astrid C.
dc.contributor.committeeMember Weissburg, Marc
dc.contributor.committeeMember Jiao, Roger
dc.contributor.committeeMember Linsey, Julie
dc.contributor.committeeMember Borrett, Stuart
dc.contributor.department Mechanical Engineering
dc.date.accessioned 2016-01-07T17:22:13Z
dc.date.available 2016-01-07T17:22:13Z
dc.date.created 2014-12
dc.date.issued 2014-11-17
dc.date.submitted December 2014
dc.date.updated 2016-01-07T17:22:13Z
dc.description.abstract This thesis considers the problem of how to design an industrial network to reduce cost, increase efficiency, and reduce environmental burdens. A recent approach is further developed that uses analogies with biological food webs to guide industry design. Studying ecological food webs shows that among the metrics in use, critical quantities of interest for industry design include the internal cycling of energy, the ratio of producers to consumers, and the ratio of efficiency to redundancy in the network. Metrics that are calculated using flow based information are also introduced for use in industry, a significant step forward for bio-inspired network design. A comprehensive data set of proposed, operational, and failed eco-industrial parks is compiled for use with structural food web analyses. A data set of biological food webs is also assembled to calculate sustainable benchmark values used as goals for the industrial designs. This research an essential difficulty in bio-inspired design approaches by quantitatively analyzing components of food web design by reconstructing found relationships from science and engineering 1st principles, specifically using thermodynamic 1st law efficiency. Results from this work have the potential to provide industry-wide cost savings, increase efficiency, and reduce environmental burdens through a reduction in raw material consumption and waste disposal. The results also support the view that financial competitiveness and sustainability need not be mutually exclusive: using food web network patterns embodying both economically and environmentally desirable properties, biologically redesigned industrial networks can ease both environmental and economic burdens.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/54307
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Industrial ecology
dc.subject Food webs
dc.subject Eco-industrial parks
dc.subject Biological analogy
dc.subject Ecosystem network analysis
dc.subject Industrial resource networks
dc.subject Sustainable design
dc.title Food webs: Realizing biological inspiration for sustainable industrial resource networks
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Bras, Berdinus A.
local.contributor.corporatename George W. Woodruff School of Mechanical Engineering
local.contributor.corporatename College of Engineering
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relation.isOrgUnitOfPublication c01ff908-c25f-439b-bf10-a074ed886bb7
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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