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A novel step-by-step optimization method for interplant water networks.

Zhuming Lv1, Yun Song1, Chen Chen2

  • 1Environmental Protection Research Institute of Light Industry, No.27, West 3rd Ring Rd North, Beike Building, Beijing 100089, PR China.

Journal of Environmental Management
|March 5, 2018
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Summary
This summary is machine-generated.

This study introduces a new optimization method for interplant water networks, simplifying complex models for efficient contaminant management in industrial water systems.

Keywords:
Interplant water networkWastewater minimizationWater system integration

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Area of Science:

  • Environmental Engineering
  • Water Resource Management
  • Industrial Ecology

Background:

  • Interplant water networks are crucial for industrial water reuse and management.
  • Complex nonlinear programming models often pose challenges in optimizing these networks.
  • Existing methods may not fully address the complexities of contaminant transport and management.

Purpose of the Study:

  • To evaluate interplant water network characteristics and superstructure models.
  • To develop a simplified, effective optimization method for these networks.
  • To demonstrate the method's applicability in managing single and multiple contaminants.

Main Methods:

  • Utilized nonlinear programming tools to assess intermediate pools in network models.
  • Simplified superstructure models based on unidirectional flow characteristics.
  • Developed and applied a novel step-by-step optimization method.

Main Results:

  • Successfully simplified complex nonlinear programming models for water networks.
  • Demonstrated the effectiveness of the novel optimization method on two case studies.
  • Validated the method's applicability for both single and multiple contaminant scenarios.

Conclusions:

  • The proposed step-by-step optimization method is effective for interplant water networks.
  • The simplified model and method overcome limitations of traditional nonlinear programming.
  • This approach offers a practical solution for industrial water management and contaminant control.