Experimental real-time optimization of a solid oxide fuel cell stack via constraint adaptation

Gene A. Bunin, Zacharie Wuillemin, Grégory François, Arata Nakajo, Leonidas Tsikonis and Dominique Bonvin

Energy, 2012, vol. 39, issue 1, 54-62

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 active constraints and then seeks to satisfy those constraints in practice via the addition of a correction term to each constraint function. These correction terms, also referred to as “modifiers”, correspond to the difference between predicted and measured constraint values and are updated at each steady-state iteration, thereby allowing the RTO to iteratively meet the optimal operating conditions of an SOFC stack despite significant plant-model mismatch. The effects of the filter parameters used in the modifier update and of the RTO frequency on the general performance of the algorithm are also investigated.

Keywords: Applied fuel cell modeling; Constraint adaptation; Optimal fuel cell performance; Real-time optimization; SOFC load tracking; SOFC operation (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:39:y:2012:i:1:p:54-62

DOI: 10.1016/j.energy.2011.04.033

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