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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Networking Chemicals Flows: Efficiency-Value-Environment Functionalized Symbiosis Algorithms and Application.

Yizheng Lyu1, Zhuoer Andrew Feng2, Tianshu Ji3

  • 1School of Environment, Tsinghua University, Beijing 100084, China.

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|November 7, 2023
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Summary

This study introduces two new algorithms to optimize chemical industrial clusters, identifying symbiotic relationships that boost economic benefits and reduce environmental impact for sustainable chemical manufacturing.

Keywords:
algorithm design and applicationchemical industrial clusterenvironmental and economic benefitsindustrial symbiotic network

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Area of Science:

  • Chemical Engineering
  • Industrial Ecology
  • Operations Research

Background:

  • Chemical industrial clusters (CICs) offer opportunities for resource optimization and waste reduction through symbiosis.
  • Achieving sustainability in the chemical industry requires maximizing economic benefits and minimizing environmental impacts.
  • Current CICs may not fully exploit potential symbiotic relationships for enhanced efficiency.

Purpose of the Study:

  • To design and validate innovative symbiosis algorithms for chemical industrial clusters.
  • To quantify the economic and environmental benefits of implementing optimized symbiotic relationships.
  • To provide theoretical support for pollution and carbon reduction strategies in CICs.

Main Methods:

  • Development of the Longest Path Algorithm and the Maximum Symbiosis Algorithm for CICs.
  • Application of algorithms to a prototypical CIC with 569 raw materials and 435 products.
  • Analysis of chemical traits, flow patterns, and existing relationships within the cluster.

Main Results:

  • The Longest Path Algorithm identified a 5-enterprise dyestuff industry chain.
  • The Maximum Symbiosis Algorithm revealed 218 symbiotic pairs, adding 0.91 million tonnes of chemicals.
  • Symbiotic relationships resulted in 1.25 billion CNY cost savings and 0.62-11.87x increased life cycle benefits.

Conclusions:

  • The developed algorithms effectively optimize CICs for enhanced economic and environmental performance.
  • Implementation of symbiosis algorithms contributes to sustainability goals in the chemical industry.
  • This interdisciplinary approach provides a foundation for pollution and carbon reduction in industrial clusters.