Process Improvement Solutions
Proven in Industrial Fields

Case study

28+

Cumulative Projects

CEPiEL Service Implementation Status

98.99%

Max Prediction Accuracy

100%

Project Success Rate

LNG Liquefaction Process
(S-Company · 1 yr 6 mos)

Digital process twin model error rate: 1.25%

Real-time validation completed for pilot plant

Overcoming limits of manual simulation — Enabling real-time response structure

5.25%
Energy Reduction

97%+ Detection Accuracy

Petrochemical Distillation Tower Fouling
(L-Company · 1 yr)

Predictive maintenance: Performance degradation forecasted up to 7 days in advance

Optimal operation control: 14.6% efficiency improvement

Secured 38h+ of additional stable operation time

$8.5M+ (₩11B) Annual Savings

Utility System Optimization
(L-Company · 2024-25)

External power savings: $6.3M (₩8.2B) per year

External MP steam savings: $2.2M (₩2.8B) per year

Carbon credit cost reduction: $0.8M (₩1B) per year

CEPiEL Performance Achievements

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CEPiEL Service Implementation Cases

For more detailed service cases, please contact our Sales Team.

Digital Twin Solution

An integrated process optimization solution that combines process modeling, custom AI development, and real-time monitoring to simultaneously deliver operational, financial, and ESG excellence.

A solution that mathematically models processes to provide a precise understanding of process structures and behaviors.

A machine learning platform that supports data-driven, scientific decision-making through prediction and optimization based on collected in-process data.