The ambitious emissions reduction targets established to avert climate change impacts make it imperative to transition from the current fossil fuel-dependent energy systems to deeply decarbonized ones. This transformation of the energy landscape requires coordinated energy planning and operations while considering cross-sectoral technology and policy-enabled interactions, climate change trends, and uncertainty of key modeling inputs. I collaboratively combine high-fidelity models that account for network-level interactions between various energy vectors (electric power, gas, hydrogen) with novel algorithmic approaches to identify implementable pathways for energy transition under supply and demand uncertainties.
How does coordinated investment and operations planning for power, gas, and hydrogen sectors impact energy infrastructure outcomes under deep decarbonization scenarios?
What is a climate-resilient energy system and how to endogenize demand/supply uncertainties in macro-energy models?
What are the bulk system impacts of end-use electrification, energy storage, low-carbon fuels, and negative emission technologies on alternative decarbonization pathways?
How to increase the spatio-temporal fidelity of capacity expansion models?
I am part of MIT’s Climate Grand Challenge project, titled “Preparing for a New World of Weather and Climate Extremes,” where my focus is on characterizing and evaluating the risks posed by future climate extremes on bulk power-gas systems (more information about the project can be found on its website).