Phil Brodrick

Understanding interactions using optimization and statistical learning

Understand interactions using optimization and statistical learning

Energy Systems

Designing, operating, and rebuilding energy systems are tasks that require balancing environmental impacts, economics, and regulations.   My work places particular emphasis on using optimization to explore physically realistic systems, while still examining outcomes under a variety of economic and policy scenarios.  Below is some select recent work.

Optimal design and operation of integrated solar combined cycles under emissions intensity constraints

As renewable energy becomes increasingly prevalent, considerations of economically viable integration strategies become more important.  In this work, we explored the bi-objective optimization of an integrated solar combined cycle (ISCC) system with respect to net present value and carbon emissions intensity under a range of different economic conditions.

Operational optimization of an integrated solar combined cycle under practical time-dependent constraints

Solar thermal and natural gas can be integrated directly for power generation in a system known as an integrated solar combined cycle (ISCC).  ISCCs face complicated thermodynamic operating constraints, and here we use optimization to highlight the utility of flexible approaches to system operations.

Optimal design and operations of a flexible oxyfuel natural gas plant

Computational optimization shows that liquid oxygen storage is not economically favorable in oxyfuel natural gas plants, even with high volatility in the system electricity price. 

Optimization of carbon-capture-enabled coal-gas-solar power generation

By exploring optimally designed and operated facilities, we can quantify the economic tradeoffs of using natural gas and solar thermal auxiliary heat in carbon capture power plants.

Establishing Building Recommissioning Priorities and Potential Energy Savings from Utility Energy Data

Historical utility data can help identify the best commercial and residential candidates for energy savings.