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Clustering and optimising regional segregated resource allocation networks.

Sheetal Jain1, Hon Huin Chin1, Santanu Bandyopadhyay2

  • 1Sustainable Process Integration Laboratory - SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology - VUT BRNO, Technická 2896/2, 616 69, Brno, Czech Republic.

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Summary

This study introduces a clustering algorithm for industrial symbiosis networks to optimize resource use and reduce waste. By grouping plants with resource surpluses and deficits, it significantly cuts costs and conserves fresh resources.

Keywords:
Clustering analysisIndustrial symbiosisProcess integrationResource conservation networkSegregated targeting

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Area of Science:

  • Industrial Ecology
  • Environmental Engineering
  • Operations Research

Background:

  • Increasingly stringent environmental regulations necessitate cleaner production strategies.
  • Optimizing resource utilization and waste reduction economically presents a significant challenge for industries, especially large-scale or regional networks.

Purpose of the Study:

  • To present a novel approach for economic resource optimization in large-scale industries and industrial symbiosis networks.
  • To develop and demonstrate a clustering algorithm for efficient resource management.

Main Methods:

  • A clustering algorithm is developed to group industrial plants based on their resource deficits and surpluses.
  • Plant clusters are formed considering geographical proximity to minimize transportation and communication costs.
  • The algorithm is validated using case studies involving water recycling networks with multiple contaminants.

Main Results:

  • The clustering approach effectively segregates plants, facilitating targeted resource exchange between those with surpluses and deficits.
  • Clustering leads to reduced transportation and communication costs within the industrial network.
  • Case studies demonstrate significant savings in fresh resources through optimized internal flow redirection.

Conclusions:

  • The developed clustering methodology offers an effective strategy for economic resource optimization in industrial symbiosis networks.
  • This approach aids in better management of overall resources, promoting sustainable industrial practices.
  • The findings highlight the importance of clustering for enhancing efficiency and cost-effectiveness in industrial ecosystems.