Modeling & Analysis of Energy Systems

The Ohio State University hosts a unique program in the modeling and analysis of energy systems that bundles world-class expertise in energy-system modeling, operation research tools, microeconomic analysis, and regulatory and policy expertise. This broad transdisciplinary skill set provides our graduates with a deep understanding of engineering, economic, regulatory, and policy issues that pertain to operating and planning energy systems. This approach enables use develop models and solutions that are applicable to real-world energy systems.

Scope

Modeling and analysis of energy systems provides an integrative perspective that links energy system engineering (e.g., control, operations, and planning) with broader social and behavioral considerations (e.g., economic, regulatory, and policy frameworks that impact energy systems).

Approach

To accomplish this, we take a highly interdisciplinary approach that combines methodologies such as system analysis, stochastic programming, robust optimization, optimal control, large-scale optimization, simulation, and forecasting. These methodologies are adapted and employed in ways that consider the social and behavioral frameworks that impact energy systems.

Our contributions to the basic science of modeling and analysis of energy systems are concerned with understanding how energy system should be built, operated, and controlled, how energy markets should be designed, operated, and monitored, and how the behavior of individual agents (e.g., consumers and producers) impact these questions. We have a particular focus on studying sustainable energy systems. Our research is grounded in the real world and serves the needs of the energy industry and society as a whole.

Methodologies

Stochastic programming
Robust optimization
Large-scale optimization
Complementarity and equilibrium modeling
Decision making under uncertainty
Optimal control
Microeconomics
Energy economics
Energy policy
Energy regulation

 

Applications

Decarbonization
Renewable-energy integration
System adequacy, security, and reliability
Smart grids
Electric vehicles
Integration of multiple energy systems (e.g., electricity & natural gas)
Energy-infrastructure planning
Energy-market, -policy, and -regulatory design
 
 

 

Concentration Faculty


Directing Faculty:

Antonio J. Conejo   |   Ramteen Sioshansi


System Modeling:

Chen Chen   |   Güzin Bayraksan   |   Cathy Xia   |   Mahesh Illindala (ECE)   |   Jeff Bielicki (CEGE)


Control & Algorithms:

Atilla Eryilmaz (ECE)   |   Ness Shroff (ECE)   |   Giorgio Rizzoni (MAE)


Policy, Economics & Markets:

Noah Dormady (Public Policy)   |   Elena Irwin (AEDE)   |   Lixin Ye (Econ)


Power Electronics:

Longya Xu (ECE)   |   Jin Wang (ECE)