Pre-FPO "Addressing the Clean Energy Transition Bottom-Up: Optical Catalysis to Energy System Modeling"

Mar 3, 2022, 11:30 am11:30 am



Event Description

The current transformation of the global energy economy towards a more sustainable, low-carbon energy economy is dependent on technological advancements as well as a system wide push towards structural change and the system integration of new technologies. These two pillars of systemic and economic energy advancement are highly interrelated; however, the technical disciplines of engineering novel energy technologies and modeling system-level energy markets and infrastructure are largely separate. This talk addresses technical aspects of these pillars in two halves. In the first half, technical improvements in the understanding of mid-infrared light delivery to, and plasmonic excitation of, heterogenous metal catalysts for the reaction of ammonia decomposition for hydrogen storage are discussed. In the second half, design tradeoffs in power system models are analyzed to understand how model design influences results, and hence the ability of the model to inform power system trends and decision making; this includes informing the priority of infrastructure investment, market design and policy decisions, the role and system value of resources such as energy storage, and more. Further, it is discussed how the technical understanding of engineering new energy technologies, such as light enabled-hydrogen storage, can help improve future power system models and their ability to inform decision making. In particular, the need for models to evolve to consider the key characteristics that distinguish the growing diversity of energy storage technologies is discussed as an example of the need to understand the engineering of energy technologies alongside system-level planning. Future power system models will need to develop more detailed representation of resources, dependent on device-level technical constraints, in order to properly assess their value to future power systems, and thus inform decision making in the global energy transition.