A sustainable energy economy implies high shares of volatile renewable energy sources and requires the use of energy storage technologies. Hydrogen is a very flexible energy carrier and can be employed as a large-scale energy storage in electric grids. This paper focuses on the integration of hydrogen production, conversion and storage options in a smart grid environment. A process current source (PCS) that functions as a rectifier for an alkaline electrolysis system and is compared to a conventional rectifier structure that is not specifically designed for dynamic operation. All components of the smart grid are scaled using a staggered algorithm that combines a pattern search algorithm and a genetic algorithm. This smart optimization tool shows high flexibility, accuracy and low computing times. The required computing time has been reduced by 56% in contrast to genetic algorithms without the pattern search method. Furthermore, the energy system optimization reduced the alkaline electrolysis below 30% of the initial scale in order to yield lower costs. Therefore, the difference in rectifier performance was reduced to a minor contribution.
Brennstoffzellensysteme werden heute meist manufakturartig hergestellt. Damit sie wirtschaftlich gefertigt werden können bedarf es Automatisierungslösungen für die Massenproduktion. Hierbei müssen verschiedenste Anforderungen beachtet werden. Im Rahmen des Forschungsprojekts H2FastCell wurden Experteninterviews durchgeführt, in denen diese Anforderungen erfasst und diskutiert werden. Die Ergebnisse sind in diesem Beitrag dargestellt. Im Fokus der Interviews steht der Brennstoffzellenstack, der den Kern eines Brennstoffzellensystems bildet und in der aktuellen Fertigung von Brennstoffzellen einen zeit- und qualitätskritischen Engpass darstellt.
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