Žilinská univerzita v Žiline

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    Optimisation of airport airside operations and reduction of aircraft delays
    (University of Žilina, 2024) Plško, Lukáš; Badánik, Benedikt
    The demand for air transport has a rising tendency over the years. This leads to more and more aircraft movements at a given time. This increase may lead to traffic congestions and an increase in aircraft delays. Airports cannot expand indefinitely and therefore they need to look for other options to mitigate the congestions. The main objective of this paper is to increase airport airside efficiency and thus reduce aircraft delays at a chosen airport. Second chapter is dedicated to currently deployed solutions at airports and theories discussed among researchers which may help the cause. Fifth and sixth chapter focuses on airport airside efficiency at the Dubai International Airport. An in-house software solution for tracking ADS-B data is used for these needs. Output of this paper is an analysis of airport operations at the airport and recommendations are made to increase airport airside efficiency and reduction of aircraft delays.
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    Tepelný model energetického úložiska s batériami druhej životnosti
    (University of Žilina, 2023) Žiľka, Richard; Krško, Ondrej; Liška, Martin; Louvar, Stanislav; Novotný, Jakub
    A Second-life Battery Storage Systems are a promising direction of how to optimize costs in modern smart grids. although they may help to reduce costs, they represent very sensitive components which imposes a high demand on their design and control. A promising direction is so called ”digital twin” approach where particular sub-systems are designed and optimized in a simulations or co-simulations without the need to nvest in to the real hardware. Such mathematical models are usually quite complex due to highly nonlinear nature of the system and they require a high degree of understanding of the problem to successfully implement them. In this paper we deal with the design of thermal mathematical description of the battery storage system as a building block of the overall mathematical model. Specifically, we focus on simple implementation and low complexity while achieving sufficient precision of the model. Proposed model was verified in simulations using real measured data.