Yury is an Assistant Professor and Goddard Junior Faculty Fellow in the Department of Electrical and Computer Engineering at New York University’s Tandon School of Engineering with an affiliated appointment at NYU’s Center for Urban Science and Progress.
Testimony – May 26, 2020
Testimony given before The New York City Council Committees on Consumer Affairs, Environmental Protection, Health, and Resiliency and Waterfronts Joint Oversight Hearing on Consolidated Edison’s Summer Preparations and the City’s Cooling Needs Summer Preparations and the City’s Cooling Needs
Research Interests: Yury’s research focuses on developing modeling and algorithmic solutions to assist society in accommodating emerging smart grid technologies (e.g., intermittent generation, demand response, storage, smart appliances, cyberinfrastructure) using multi-disciplinary methods in engineering, operations research, economics, and policy analysis.
Moscow Power Engineering Inst. 2011
B.S., Electrical Engineering
University of Washington 2016
Ph.D., Electrical Engineering
- Y. Dvorkin, R. Fernandez-Blanco, D. S. Kirschen, H. Pandzic, J. P. Watson, and C. A. Silva-Monroy, "Ensuring Profitability of Energy Storage," IEEE Transactions on Power Systems, Vol. 32, No. 1, pp. 611 - 623, 2017.
- M. Lubin, Y. Dvorkin, and S. Backhaus, "A Robust Approach to Chance Constrained Optimal Power Flow with Renewable Generation," IEEE Transactions on Power Systems, Vol. 31, No. 5, pp. 3840 - 3849, 2016.
- Y. Dvorkin, M. Lubin, S. Backhaus, and M. Chertkov, "Uncertainty Sets for Wind Power Generation," IEEE Transactions on Power Systems, Vol. 31, No. 4, pp. 3326 - 3327, 2016.
- K. Bruninx, Y. Dvorkin, E. Delarue, H. Pandzic, W. D’haeseleer and D. S. Kirschen, "Coupling Pumped Hydro Energy Storages with Unit Commitment," IEEE Transactions on Sustainable Energy, Vol. 7, No. 2, pp. 786 - 796, 2016.
- H. Pandzic, Y. Dvorkin, Y. Wang, and D. S. Kirschen, "Toward Cost-Efficient and Reliable Unit Commitment under Uncertainty," IEEE Transactions on Power Systems, Vol. 31, No. 2, pp. 970 - 982, 2016.
- Y. Dvorkin, H. Pandzic, M. A. Ortega-Vazquez, and D. S. Kirschen, "A Hybrid Stochastic/Interval Approach to Transmission-Constrained Unit Commitment with Uncertainty," IEEE Transactions on Power Systems, Vol. 30, No. 2, pp. 621 - 631, 2015.
Spatiotemporal Decoupling of Water Electrolysis for Dual-Use Grid Energy Storage and Hydrogen Generation
Increased efforts to curb global warming have led to a drastic surge in the deployment of renewable electricity sources, such as wind and solar power. However, as these sources form a larger fraction of the energy in the grid, their intermittency has started to cause supply instability and large fluctuations in energy prices.
To mediate this challenge, electrochemical energy storage devices such as lithium ion batteries have started to enter the utility scale market. Also gaining traction are redox flow batteries (RFB) because of their long cycle life and power and energy capacity. Despite their promising performance RFB costs remain high due to low energy density of redox energy carriers, which results in large operational costs.
An alternative energy storage method is the production of energy-dense electrofuels, such as hydrogen (H2). H2 has gained significant attention as a promising energy vector for a renewable-rich energy future, given its high gravimetric energy density that makes it desirable for both stationary and mobile applications.
To make electrochemical hydrogen production more competitive, renewable energy sources need to be used with new strategies for electrochemical hydrogen production. The researchers, including Ph.D. students Daniel Frey (lead author) and Jip Kim, show a cerium-mediated decoupled electrolysis system that produces hydrogen and stores energy in the redox couples. They present electrochemical studies to observe the effects of diffusive transport, convective transport, and thermal effects. Following this, the team performed a techno-economic analysis, focusing on the optimization of the system operation and the identification of target operation parameters to achieve hydrogen production at a competitive price.
- Yury Dvorkin,
- Miguel Modestino