Data-driven Process Systems Engineering Lab

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Research

  • Overview
  • Data-driven Optimization
  • Hybrid Modeling
  • Energy Systems
  • Manufacturing

Energy Systems

Multiscale modeling and optimization is critical towards improving complex energy systems, such as CO2 capture and sequestration; oilfield operations; and petrochemical planning.

Relevant Publications

  1. Carbon Dioxide Capture & Sequestration
    • Global Optimization of General Constrained Grey-Box Models: New Method and its Application to Constrained PDEs for Pressure Swing Adsorption
    • A multi-scale framework for CO2 capture, utilization, and sequestration: CCUS and CCU
    • Nationwide, Regional, and Statewide CO2 Capture, Utilization, and Sequestration Supply Chain Network Optimization

  2. Oilfield Operations
    • Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations
    • Dimensionality reduction for production optimization using polynomial approximations

  3. Planning Operations
    • An integrated data-driven modeling & global optimization approach for multi-period nonlinear production planning problems
    • Data‐Driven Mathematical Modeling and Global Optimization Framework for Entire Petrochemical Planning Operations

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