Modeling and optimization for the clean energy transition
The transition to a net-zero energy system and industrial sector is one of the most pressing challenges of our time. In particular, the integration of variable renewable energy sources with both the existing electricity grid and natural gas network is challenging.
We use mathematical modeling and optimization as well as machine learning and computer vision to analyze and optimize the deployment, design, and operation of clean energy technologies on the system and process scale. Currently, our work is structured into the four subareas below.
Current researchers: Andea Scott, Dimitri Saad, Josh Neutel, Lama El Halabi, Mathis Heyer, Mo Sodwatana
Current Research Topics
1. Macro-energy system modeling: BRIDGES
Macro-energy system analysis is crucial as it provides a comprehensive view of how energy systems operate and evolve, offering valuable insights for ...
2. Photovoltaic output forecasting
Solar photovoltaic (PV) is rapidly becoming a significant source of humanity’s electricity. Fluctuations in solar PV output due to short-term events ...
3. Renewable and fossil energy integration and substitution
The integration of renewable energy sources introduces significant supply-side fluctuations to the energy system, a shift from the traditional model where variability was largely confined to the demand side. This new paradigm of energy generation creates ...
4. Technoeconomic assessment of clean energy technologies
Technoeconomic analysis of clean energy technologies is vital for understanding the feasibility, costs, and potential impact of various solutions in the transition to a low-carbon economy. The EAO research group has conducted ...
Past Research Topics
Oil depletion and transition to renewable substitutes
The depletion of energy resources is a complex phenomenon. Depletion is not a process of simply "running out" of a resource, but instead is a complex process of technological change and ...