(364x) Modeling and Solution Strategies for the Optimization of Multi-Timescale Process Systems

Research Interests: energy systems optimization, multi-scale dynamic optimization, nonlinear programming, parallel solution algorithms, techno-economic optimization

The economic viability of novel flexible energy systems relies on the formulation of specialized large-scale optimization models and the development of scalable strategies to obtain their solutions efficiently. My research focuses on building models and tools to simultaneously optimize decisions over multiple disparate timescales. A key application of interest is the planning and operational optimization of solid-oxide cell (SOC) systems in the presence of structural and performance degradation.

This poster summarizes the main insights from the following aspects of my research:

• Development of a dynamic first principles health modeling framework for SOC systems
• Model reduction and simulation techniques to quantify the synergistic effects of physical and chemical degradation in SOCs
• Formulation of Multi-Period Optimization (MPO) models for multi-timescale systems
• Implementation of decomposition strategies for the parallel solution of the resultant MPO
• Optimization of SOC systems under synergistic degradation with hourly and seasonal variations in H₂ demand and electricity price