Decision process to manage useful life of multi-stacks fuel cell systems under service constraint. (May 2017)

• Record Type: Journal Article
• Authors: Herr, Nathalie; Nicod, Jean-Marc; Varnier, Christophe; Jardin, Louise; Sorrentino, Antonella; Hissel, Daniel; Péra, Marie-Cécile
• Is Part Of: Renewable energy. Volume 105(2017)
• Page Start: 590
• Page End: 600
• Publication Date: 2017-05
• Subjects: Fuel cell -- PHM -- Decision making -- Scheduling -- Useful life -- Optimization; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2017.01.001
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: A management of multi-stacks fuel cell systems is proposed to extend systems useful life in a Prognostics and Health Management ( PHM ) framework. The problem consists in selecting at each time which fuel cell stacks have to run and which output power has to be chosen for each of them to satisfy a load demand as long as possible. Multi-stacks fuel cell system useful life depends not only on each stack useful life, but also on both the schedule and the operating conditions settings that define the contribution of each stack over time. As the impact of variable operating conditions on fuel cell lifetime is not well-known, a simplified representation of fuel cell behavior under wear and tear is used to estimate the available outputs over time and their associated Remaining Useful Lives ( RUL ). This health state prognostics model is configured to suit to Proton-Exchange Membrane Fuel Cells (PEMFC) specific characteristics. The proposed scheduling process makes use of an optimal approach based on a Mixed Integer Linear Program ( MILP ). Efficiency of the associated commitment strategy is assessed by comparison with basic intuitive strategies, considering constant and piecewise constant load demand profiles. Graphical abstract: Highlights: A management of multi-stacks fuel cell systems is proposed in a PHM framework. The objective is to maximize the system useful life under service constraint. Proposed model allows to determine each available power output remaining useful life. Linear programming is used to define a scheduling of stacks in power. Results show that the approach is consistent with a real usage of fuel cells.