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Related Experiment Video

Updated: Jun 23, 2026

Millifluidics for Chemical Synthesis and Time-resolved Mechanistic Studies

Millifluidics for Chemical Synthesis and Time-resolved Mechanistic Studies

Published on: November 27, 2013

An Enhanced CAPE-OPEN-Based Digital Twin Platform Architecture for Chemical Processes.

Jun Zhao¹, Wenying Zhao¹, Xiaoyan Sun¹

¹College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao 266042, China.

|June 22, 2026

Summary

This study introduces an enhanced Digital Twin (DT) platform for chemical processes, improving computational efficiency and interoperability. The new CAPE-OPEN framework significantly reduces simulation time, enabling real-time optimization and industrial validation.

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Last Updated: Jun 23, 2026

Millifluidics for Chemical Synthesis and Time-resolved Mechanistic Studies

Millifluidics for Chemical Synthesis and Time-resolved Mechanistic Studies

Published on: November 27, 2013

Area of Science:

Chemical Engineering
Computational Science
Process Systems Engineering

Background:

Digital Twin (DT) technology offers real-time monitoring and optimization for chemical processes.
Industrial adoption is hindered by issues like heterogeneous interfaces and low computational efficiency in traditional simulators.
Existing CAPE-OPEN frameworks lack streamlined high-frequency calculation pathways.

Purpose of the Study:

To propose an enhanced CAPE-OPEN-based Digital Twin platform architecture for chemical processes.
To improve computational efficiency and maintain openness and interoperability.
To validate the industrial applicability of the enhanced DT platform.

Main Methods:

Incorporation of a global interface management mechanism into the COM-based CAPE-OPEN framework.
Benchmarking against the original CAPE-OPEN framework using distillation and refinery tower models.
Integration of a five-dimensional DT model with real-time data-driven methodologies for a closed-loop workflow.
Industrial validation on an S Zorb gasoline adsorption desulfurization unit.

Main Results:

Achieved maximum CPU time reduction of 94.79% for ideal-gas enthalpy evaluation and 94.85% for module convergence.
Demonstrated systematic performance gains through optimized scheduling and data access.
Provided accurate predictions of product properties and operating parameters during industrial validation.
Reduced octane number loss under compliant sulfur specifications through real-time optimization.

Conclusions:

The enhanced CAPE-OPEN-based DT platform significantly improves computational performance and interoperability for chemical processes.
The proposed DT architecture is engineered for real-time data integration, high-fidelity simulation, and application services.
Industrial validation confirms the engineering feasibility and applicability of the DT system for process optimization and stable operation.