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
