Designing Industrial Networks Using Ecological Food Web Metrics

Area of Science:

• Ecology
• Industrial Ecology
• Biomimicry
• Sustainable Systems Design

Background:

• Biologically Inspired Design (biomimicry) and Industrial Ecology leverage natural systems for sustainable industrial practices.
• Traditional Bioinspired Design (BID) focuses on single products or unit operations.
• Ecosystem network principles offer a novel approach for industrial system networks.

Purpose of the Study:

• To apply ecosystem network organization principles to industrial systems.
• To evaluate food web matrix properties as design rules for sustainable industrial networks.
• To compare ecological optimization with traditional cost and emissions-based optimization.

Main Methods:

• Developed an optimization model for a carpet recycling network.
• Applied food web matrix properties as design rules.
• Compared network designs optimized using ecological metrics versus traditional metrics (cost, emissions).

Main Results:

• Networks optimized with food web metrics showed superior economic and environmental performance.
• Correlations between ecological and traditional optimization ranged from 0.70 to 0.96.
• Flow-based ecological metrics were more effective than structural parameters.

Conclusions:

• Bioinspired design principles derived from ecosystems can create sustainable industrial resource networks.
• Ecosystem principles provide effective guidelines for designing sustainable industry networks.
• Ecologically optimized networks align with and often surpass traditional sustainability goals.