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Low-carbon operation technologies and challenges for process industry.

Chunhua Yang1,2, Yishun Liu1,2, Keke Huang1,2

  • 1School of Automation, Central South University, Changsha 410083, China.

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Summary
This summary is machine-generated.

Information and Communications Technology (ICT) can significantly reduce carbon emissions in energy-intensive process industries. This study analyzes ICT

Keywords:
Carbon emission monitoringCarbon migration controlCollaborative optimizationLow carbonProcess industry

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Area of Science:

  • Industrial Process Optimization
  • Environmental Science and Technology
  • Information and Communications Technology

Background:

  • Process industries are vital for economic and defense sectors but are major energy consumers and carbon emitters.
  • Reducing carbon emissions is a critical challenge for these industries.
  • Information and Communications Technology (ICT) offers a pathway to achieve low-carbon operations.

Purpose of the Study:

  • To review and analyze the current research status and bottlenecks in low-carbon operation for process industries.
  • To identify and analyze the challenges ICT faces in enabling low-carbon operations.
  • To propose a framework and future research directions for ICT-driven low-carbon process industries.

Main Methods:

  • Literature review of low-carbon industrial processes.
  • Analysis of ICT challenges in carbon emission sensing, modeling, control, and optimization.
  • Development of a conceptual framework for ICT implementation in low-carbon operations.

Main Results:

  • Identified key research gaps and bottlenecks in current low-carbon industrial practices.
  • Detailed the specific challenges ICT encounters in sensing, modeling, controlling, and optimizing carbon flow.
  • Presented a comprehensive framework for integrating ICT to achieve low-carbon operations.

Conclusions:

  • ICT is essential for enabling low-carbon operations in process industries.
  • Addressing identified ICT challenges is crucial for successful implementation.
  • Future research should focus on industrial artificial intelligence for enhanced low-carbon optimization.