Project Highlights

  • "Based on our experience, SIMACRO has demonstrated strong technical capability, with particular expertise in process modeling, digital twin applications, and AI enabled industrial solutions."

    - Technical Program Manager, ExxonMobil

  • "결과적으로, 본 플랫폼은 연구소와 제조 현장에서 개발되는 수학적 모델과 AI 기반 모델을 실무에 신속히 적용하고, 이를 지속적으로 유지·관리·개선할 수 있는 환경을 제공한다는 점에서 높은 활용 가치를 지닌다고 판단됩니다."

    Ultimately, this platform is considered highly valuable in that it enables the rapid deployment of mathematical and AI-based models developed in research and manufacturing environments into real-world operations, while also providing a framework for their continuous maintenance, management, and improvement (translated).

    - Head of Process R&D, CJ Cheiljedang

  • "PMV platform shows meaningful potential as a practical solution for industrial use, especially in enabling improved operational insight, enhanced decision making, and the broader commercialization of AI based process technologies."

    - Technical Program Manager, ExxonMobil

  • "실시간 공정 데이터 조회, Aspen 및 Python 기반 제어·예측 모델과의 연계, 그리고 단일 화면 내 통합 모니터링 환경 제공은 향후 디지털 트윈 구축을 위한 실용적이고 확장성 높은 기반으로 활용될 수 있습니다."

    The ability to access real-time process data, integrate with Aspen and Python-based control and prediction models, and provide a unified monitoring environment within a single interface can serve as a practical and highly scalable foundation for building a digital twin in the future (translated).

    - Head of Process R&D, CJ Cheiljedang

  • "개발된 기능을 별도의 프로그램화 과정 없이 웹 기반 플랫폼에서 즉시 실행할 수 있다는 범용성은 현업 적용 측면에서 매우 큰 의미가 있습니다. 또한 현재 관리자/사용자 모드 분리 기능 역시 사용자 피드백을 반영하여 개발 중에 있어, 향후에는 보다 직관적이고 효율적인 운영이 가능할 것으로 기대됩니다."

    The versatility of being able to run developed features instantly on a web-based platform without any separate programization process has significant implications for real-world application. Additionally, the administrator/user mode separation feature is currently under development based on user feedback, and it is expected to enable more intuitive and efficient operation in the future (translated).

    - Head of Process R&D, CJ Cheiljedang

Process Digital Twin

  • Benefits:

    • Achieved annual savings over $1M USD through a fuel distribution study alone

    • Predicted remaining operational hours based on the current coke production trend

    • Visualized previously invisible chemical dynamics using digital twin metadata

  • Benefits:

    • Developed an online Digital Twin (DT) simulator for an alkylphenol manufacturing plant, incorporating a 32-column SMB process and downstream distillation columns for solvent recovery

    • Supported real-time operation by obtaining data from the DCS or plant historian, predicting current and future plant performance, and assisting operators with actionable insights

    • Maintained simulation accuracy through automated re-validation and updates depending on the model parameters of interest

  • Benefits:

    • Achieved a $30 M reduction in investment costs through the optimal design of the commercial reactor

    • Reduced operational costs by minimizing side-product formation by 20%

  • Benefits:

    • Identified sensor malfunctions and updated P&ID/PFD diagrams to ensure process accuracy

    • Monitored heat exchanger efficiency and predict Overhead Line Corrosion (OLC) points to maintain performance

    • Optimized column operations to enhance efficiency & productivity

    • Predicted catalyst lifespan to plan timely replacements & reduce costs

    • Conducted economic assessments for new or modified crude assays to evaluate feasibility

  • Benefits:

    • With enabled real-time tracking of LNG heat exchanger performance and predicting potential degradation through the use of SIMACRO’s patented approach of M1 and M2 models, proactive maintenance and minimized downtime were achieved

    • By reconciling actual plant data with model predictions, the digital twin system ensured accurate performance insights, improving energy efficiency and reducing operational costs

    • Ongoing

Aspen Modeling & Consulting

  • Benefit:

    • PSA modeling and simulation enabled the fine-tuning of operational parameters such as pressure cycles, adsorption/desorption times, and adsorbent selection, maximizing efficiency and hydrogen recovery rates

  • Benefits:

    • Predicted plant performance history over the past 5 years to analyze trends and identify areas for improvement

    • Empowered the customer to internalize expertise in modeling and simulating ion exchange chromatography processes

    • ongoing

  • Benefits:

    • Enhanced researchers’ understanding of complex fermentation processes

    • Reduced the reliance on extensive experiments or pilot tests

    • Maximizes the scalability and adaptability of fermentation research

Process Design

  • Benefits:

    • Developed proprietary EMC, DEC technologies for the first time in Korea to maximize business competitiveness of electrolyte organic solvents for lithium-ion batteries used in EVs

    • Allowed technological monopoly of global hydrogen, promoting first commercializing in Korea

  • Benefits:

    • Developed batch operational strategies to maximize cellulose derivative production

    • Ensured the optimal design for separation steps

  • Benefits:

    • Reduced waste solvent from optimization of solvent recovery tower operation

    • Saved costs by reducing raw material usage from solvent change simulation