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• W2249328381 abstract "The experimental validation of a real-time optimization (RTO) strategy for the optimal operation of a solid oxide fuel cell (SOFC) stack is reported in this paper. Unlike many existing studies, the RTO approach presented here utilizes the constraint-adaptation methodology, which assumes that the optimal operating point lies on a set of constraints and then seeks to satisfy those constraints in practice via bias update terms. These biases correspond to the difference between predicted and measured outputs and are updated at each steady-state iteration, allowing the RTO to successfully meet the optimal operating conditions of a 6-cell SOFC stack, despite significant plant-model mismatch. The effects of the bias update filter values and of the RTO frequency on the power tracking and constraint handling are also investigated." @default.
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• W2249328381 date "2010-01-01" @default.
• W2249328381 modified "2023-10-01" @default.
• W2249328381 title "Experimental Real-Time Optimization of a Solid Oxide Fuel Cell Stack via Constraint Adaptation" @default.
• W2249328381 hasPublicationYear "2010" @default.
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