This research aims to find relevant evidence on whether there is a link between air capacity management (ACM) optimization and airline operations, also considering the airline business model perspective. The selected research strategy includes a case study based on Paris Charles de Gaulle Airport to measure the impact of ACM optimization variables on airline operations. For the analysis we use historical data which allows us to evaluate to what extent the new schedule obtained from the optimized scenario disrupts airline planned operations. The results of this study indicate that ACM optimization has a substantial impact on airline operations. Moreover, the airlines were categorized according to their business model, so that the results of this study revealed which category was the most affected. In detail, this study revealed that, on the one hand, Full-Service Cost Carriers (FSCCs) were the most impacted and the presented ACM optimization variables had a severe impact on slot allocation (approximately 50% of slots lost), fuel burn accounted as extra flight time in the airspace (approximately 12 min per aircraft) and disrupted operations (approximately between 31% and 39% of the preferred assigned runways were changed). On the other hand, the comparison shows that the implementation of an optimization model for managing the airport capacity, leads to a more balanced usage of runways and saves between 7% and 8% of taxi time (which decreases fuel emission).
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This paper proposes a Hybrid Microgrid (HμG) model including distributed generation (DG) and a hydrogen-based storage system, controlled through a tailored control strategy. The HμG is composed of three DG units, two of them supplied by solar and wind sources, and the latter one based on the exploitation of theProton Exchange Membrane (PEM) technology. Furthermore, the system includes an alkaline electrolyser, which is used as a responsive load to balance the excess of Variable Renewable Energy Sources (VRES) production, and to produce the hydrogen that will be stored into the hydrogen tank and that will be used to supply the fuel cell in case of lack of generation. The main objectives of this work are to present a validated dynamic model for every component of the HμG and to provide a strategy to reduce as much as possible the power absorption from the grid by exploiting the VRES production. The alkaline electrolyser and PEM fuel cell models are validated through real measurements. The State of Charge (SoC) of the hydrogen tank is adjusted through an adaptive scheme. Furthermore, the designed supervisor power control allows reducing the power exchange and improving the system stability. Finally, a case, considering a summer load profile measured in an electrical substation of Politecnico di Torino, is presented. The results demonstrates the advantages of a hydrogen-based micro-grid, where the hydrogen is used as medium to store the energy produced by photovoltaic and wind systems, with the aim to improve the self-sufficiency of the system
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De dissertatie "Probing Futures, Acting Today" van Caroline Maessen onderzoekt hoe organisaties alternatieve toekomsten kunnen verbeelden om dagelijkse toekomstvormende praktijken te veranderen teneinde complexe maatschappelijke uitdagingen aan te pakken. Organisaties hebben de neiging door lineair denken hun verbeeldingsvermogen te beperken tot conventionele toekomsten, wat effectieve reacties op problemen zoals klimaatverandering en sociale ongelijkheid belemmert. Het gevolg is dat na de zoveelste heisessie voor visieontwikkeling, er nog steeds niets fundamenteel verandert. Hoe de toekomst zich ontvouwt, tegen de achtergrond van maatschappelijke complexe problemen, gaat vaak voorbij onze collectieve verbeeldingskracht. Organisaties hebben moeite om zich te verbinden met onconventionele toekomsten en acties in het heden daarop af te stemmen. Voor betekenisvolle verandering moeten organisaties navigeren tussen de aantrekkingskracht van inspirerende onconventionele toekomsten en de behoefte aan stabiliteit en controle. Maessen heeft in twee (semi) publieke organisaties onderzocht waarom dit zo lastig is en hoe organisaties daarin ondersteund kunnen worden.
Dit project richt zich op de ontwikkeling van de biotechnologische en chemische procesvoering om op basis van mycelium een alternatief voor leer te produceren. In vergelijking met leer is het voordeel van mycelium dat geen runderen nodig zijn, de productie kan plaatsvinden onder industriële condities en met gebruik van reststromen, de CO2 uitstoot alsook hoeveelheid afval verlaagd wordt, en het gebruik van toxische stoffen zoals chroom wordt vervangen door biobased alternatieven. In het project zullen de procescondities worden bepaald die leiden tot de vorming van optimaal mycelium. Daartoe zullen twee verschillende schimmels worden gekweekt in bioreactoren bij de Hogeschool Arnhem Nijmegen (HAN), waarbij specifiek de effecten van de procescondities (temperatuur, pH, shear, beluchting) en de samenstelling van het kweekmedium op groei van het mycelium en materiaal eigenschappen zullen worden onderzocht. De meest optimale condities zullen vervolgens worden opgeschaald. Op het op deze wijze verkregen materiaal zal Mylium BV een aantal nabehandelingsstappen uitvoeren om de sterkte, elasticiteit, en duurzaamheid van het product te vergroten. Daartoe worden biobased plasticizers, cross-linkers en/of flexibility agents gebruikt. Het resulterende eindproduct zal middels specifiek fysieke testen vergeleken worden met leer alsook worden voorgelegd aan mogelijke klanten. Indien beide resultaten positief zijn kan het betreffende proces na het project verder worden opgeschaald voor toepassing naar de markt.
The growing demand for both retrofitting and refitting, driven by an aging global fleet and decarbonization efforts, including the need to accommodate alternative fuels such as LNG, methanol, and ammonia, offers opportunities for sustainability. However, they also pose challenges, such as emissions generated during these processes and the environmental impacts associated with the disposal of old components. The region Rotterdam and Drechtsteden form a unique Dutch maritime ecosystem of port logistics, shipbuilding, offshore operations, and innovation facilities, supported by Europe’s largest port and world-class infrastructure connecting global trade routes. The Netherlands’ maritime sector, including the sector concentrated in Zuid-Holland, is facing competition from subsidized Asian companies, leading to a steep decline in Europe’s shipbuilding market share from 45% in the 1980s to just 4% in 2023. Nonetheless, the shift toward climate-neutral ships presents economic opportunities for Dutch maritime companies. Thus, developing CE approaches to refitting is essential for promoting sustainability and addressing the pressing environmental and competitive challenges facing the sector and has led companies in the sector to establish the Open Joint Industry Project (OJIP) called Circolab of which this PD forms the core.
The maritime transport industry is facing a series of challenges due to the phasing out of fossil fuels and the challenges from decarbonization. The proposal of proper alternatives is not a straightforward process. While the current generation of ship design software offers results, there is a clear missed potential in new software technologies like machine learning and data science. This leads to the question: how can we use modern computational technologies like data analysis and machine learning to enhance the ship design process, considering the tools from the wider industry and the industry’s readiness to embrace new technologies and solutions? The obbjective of this PD project is to bridge the critical gap between the maritime industry's pressing need for innovative solutions for a more agile Ship Design Process; and the current limitations in software tools and methodologies available via the implementation into Ship Design specific software of the new generation of computational technologies available, as big data science and machine learning.
