The main goal of our research is to improve the understanding of the complex interactions between engineering, economics, and policy in electricity markets, and ultimately enable the transition towards a cost efficient and reliable low-carbon energy system. We are particularly interested in integration of renewable energy and energy storage into a smarter electricity grid. Towards this end, we use methods from operations research and decision science combined with fundamental principles of electrical power engineering and energy economics. At a more general level, our research focuses on decision making under uncertainty in complex systems.
Research interests include:
- Electricity market design
- Grid integration of renewable energy
- Energy storage, demand response, smart grid solutions
- Energy system transition and decarbonization analysis
- Planning and operation of low-carbon energy systems
- Forecasting of wind and solar power
- Stochastic optimization and decision-making under uncertainty
- Large-scale optimization, modeling, and simulation
Current research projects include:
- Price formation in zero-carbon electricity markets
- Efficient decarbonization strategies
- Electrification and decarbonization of transportation fleets
- Generation expansion and resource adequacy in electricity markets with renewable energy
- Energy storage optimization for grid integration of renewable energy
- Hydropower as a flexibility provider in zero-carbon electricity markets
- Improved analytics for urban energy distribution grids
- Smart temperature control in buildings
Recent research projects include:
- Risk management in electricity markets
- Electrify Italy
- The role of renewable energy and natural gas in the future Indian power grid
- The role of energy storage in distributed power systems
- Improved production cost models for power systems with renewable energy
- Stochastic methods in power system operations with wind power
- Competitiveness of nuclear energy in electricity markets with increasing shares of renewable energy
- Wind power forecasting and its use in electricity markets
- Agent-based modeling of electricity markets
Sponsors include: