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Interactive and Visualized Online Experimentation System for Engineering Education and Research
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A software algorithm/package for control loop configuration and eco-efficiency.

M T Munir1, W Yu, B R Young

  • 1Industrial Information and Control Centre, Chemical and Materials Engineering Department, The University of Auckland, New Zealand. mmun047@aucklanduni.ac.nz

ISA Transactions
|June 22, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a new software tool to select eco-efficient control configurations for industrial processes. It utilizes the exergy eco-efficiency factor to enhance process efficiency and sustainability.

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Area of Science:

  • Chemical Engineering
  • Process Control
  • Sustainable Manufacturing

Background:

  • Growing importance of eco-efficiency in industrial processes.
  • Need for integrated methods to assess control loop configuration and eco-efficiency.
  • Development of novel metrics for evaluating process sustainability.

Purpose of the Study:

  • To present a newly developed software algorithm/package for selecting eco-efficient control configurations.
  • To introduce the exergy eco-efficiency factor as a measure for control loop configuration.
  • To facilitate the integration of control engineering with eco-efficiency metrics.

Main Methods:

  • Development of a novel software algorithm/package.
  • Integration of a commercial simulator (VMGSim) with Microsoft Excel.
  • Calculation of the exergy eco-efficiency factor for control loop configurations.

Main Results:

  • A functional software tool capable of selecting more eco-efficient control configurations.
  • Quantification of eco-efficiency using the exergy eco-efficiency factor.
  • Demonstration of the software's utility in industrial process analysis.

Conclusions:

  • The developed software provides a practical approach to enhance industrial process eco-efficiency.
  • The exergy eco-efficiency factor serves as a valuable metric for control loop optimization.
  • The software facilitates informed decision-making for sustainable industrial operations.