Designing Industrial Networks Using Ecological Food Web Metrics.
Biologically Inspired Design (biomimicry) and Industrial Ecology both look to natural systems to enhance the sustainability and performance of engineered products, systems and industries. Bioinspired design (BID) traditionally has focused on a unit operation and single product level. In contrast, this paper describes how principles of network organization derived from analysis of ecosystem properties can be applied to industrial system networks. Specifically, this paper examines the applicability of particular food web matrix properties as design rules for economically and biologically sustainable industrial networks, using an optimization model developed for a carpet recycling network. Carpet recycling network designs based on traditional cost and emissions based optimization are compared to designs obtained using optimizations based solely on ecological food web metrics. The analysis suggests that networks optimized using food web metrics also were superior from a traditional cost and emissions perspective; correlations between optimization using ecological metrics and traditional optimization ranged generally from 0.70 to 0.96, with flow-based metrics being superior to structural parameters. Four structural food parameters provided correlations nearly the same as that obtained using all structural parameters, but individual structural parameters provided much less satisfactory correlations. The analysis indicates that bioinspired design principles from ecosystems can lead to both environmentally and economically sustainable industrial resource networks, and represent guidelines for designing sustainable industry networks.
George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology , Atlanta, Georgia 30332 United States.
Astrid
A
Layton
George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology , Atlanta, Georgia 30332 United States.
Bert
B
Bras
School of Biology, Georgia Institute of Technology , Atlanta, Georgia 30332 United States.
Marc
M
Weissburg
D020387:Food Chain; D007221:Industry; D008962:Models, Theoretical