Economic NMPC for a Reversible Solid Oxide Cell
Sakshi S. Naik, Yufei Zhao, Douglas Allan, Sangbum Lee, Lorenz T. Biegler
TL;DR
This paper introduces an economic control strategy for reversible solid oxide cells to optimize their operation based on electricity prices.
Contribution
The novelty is an economic nonlinear model predictive control framework tailored for reversible solid oxide cells.
Findings
E-NMPC reduces hydrogen consumption in fuel cell mode while maintaining electricity output.
E-NMPC provides marginal improvement in hydrogen production during electrolysis mode.
Battery integration enhances the system's flexibility in meeting energy targets.
Abstract
Reversible solid oxide fuel cells (rSOCs) offer the flexibility to operate in tandem with the electric grid by switching between fuel cell and electrolysis modes based on real-time electricity prices. However, their complex, tightly coupled dynamic behavior poses significant challenges in determining optimal operating strategies. In this work, we present an economic nonlinear model predictive control (E-NMPC) framework to optimize the operation of rSOCs. The proposed E-NMPC is applied to a detailed rSOC flowsheet model that includes a utility scale rSOC module as well as balance-of-plant equipment necessary for thermal management. Our results demonstrate that in fuel cell mode, the E-NMPC strategy reduces hydrogen consumption compared to conventional set-point tracking NMPC, while maintaining the same level of electricity output. Also, in electrolysis mode, the E-NMPC yields a marginal…
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Taxonomy
TopicsAdvancements in Solid Oxide Fuel Cells · Magnetic and transport properties of perovskites and related materials · Chemical Looping and Thermochemical Processes