VHL University of Applied Sciences (VHL) is a sustainable University of AppliedSciences that trains students to be ambitious, innovative professionals andcarries out applied research to make a significant contribution to asustainable world. Together with partners from the field, they contribute to innovative and sustainable developments through research and knowledge valorisation. Their focus is on circular agriculture, water, healthy food & nutrition, soil and biodiversity – themes that are developed within research lines in the variousapplied research groups. These themes address the challenges that are part ofthe international sustainability agenda for 2030: the sustainable developmentgoals (SDGs). This booklet contains fascinating and representative examplesof projects – completed or ongoing, from home and abroad – that are linked tothe SDGs. The project results contribute not only to the SDGs but to their teaching as well.
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This study focuses on the feasibility of electric aircraft operations between the Caribbean islands of Aruba, Bonaire, and Curaçao. It explores the technical characteristics of two different future electric aircraft types (i.e., Alice and ES-19) and compares their operational requirements with those of three conventional types currently in operation in the region. Flight operations are investigated from the standpoint of battery performance, capacity, and consumption, while their operational viability is verified. In addition, the CO2 emissions of electric operations are calculated based on the present energy mix, revealing moderate improvements. The payload and capacity are also studied, revealing a feasible transition to the new types. The impact of the local climate is discussed for several critical components, while the required legislation for safe operations is explored. Moreover, the maintenance requirements and costs of electric aircraft are explored per component, while charging infrastructure in the hub airport of Aruba is proposed and discussed. Overall, this study offers a thorough overview of the opportunities and challenges that electric aircraft operations can offer within the context of this specific islandic topology.
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Deze casestudie geeft inzicht in verschillende soorten kennis die kenmerkend zijn voor applied design research. Er wordt onderscheid gemaakt tussen kennis over de huidige situatie, over wenselijke alternatieven en over effectieve oplossingen om daar te komen. Ofwel, kennis hoe het is, kennis over hoe het kan zijn en kennis over hoe het zal zijn als we effectieve oplossingen toepassen. Elk van deze soorten kennis heeft andere kwaliteitscriteria.
Production processes can be made ‘smarter’ by exploiting the data streams that are generated by the machines that are used in production. In particular these data streams can be mined to build a model of the production process as it was really executed – as opposed to how it was envisioned. This model can subsequently be analyzed and stress-tested to explore possible causes of production prob-lems and to analyze what-if scenarios, without disrupting the production process itself. It has been shown that such models can successfully be used to diagnose possible causes of production problems, including scrap products and machine defects. Ideally, they can even be used to model and analyze production processes that have not been implemented yet, based on data from existing production pro-cesses and techniques from artificial intelligence that can predict how the new process is likely to be-have in practice in terms of data that its machines generate. This is especially important in mass cus-tomization processes, where the process to create each product may be unique, and can only feasibly be tested using model- and data-driven techniques like the one proposed in this project. Against this background, the goal of this project is to develop a method and toolkit for mining, mod-elling and analyzing production processes, using the time series data that is generated by machines, to: (i) analyze the performance of an existing production process; (ii) diagnose causes of production prob-lems; and (iii) certify that a new – not yet implemented – production process leads to high-quality products. The method is developed by researching and combining techniques from the area of Artificial Intelli-gence with techniques from Operations Research. In particular, it uses: process mining to relate time series data to production processes; queueing networks to determine likely paths through the produc-tion processes and detect anomalies that may be the cause of production problems; and generative adversarial networks to generate likely future production scenarios and sample scenarios of production problems for diagnostic purposes. The techniques will be evaluated and adapted in implementations at the partners from industry, using a design science approach. In particular, implementations of the method are made for: explaining production problems; explaining machine defects; and certifying the correct operation of new production processes.
Cross-Re-Tour supports European tourism SME while implementing digital and circular economy innovations. The three year project promotes uptake and replication by tourism SMEs of tools and solutions developed in other sectors, to mainstream green and circular tourism business operations.At the start of the project existing knowledge-gaps of tourism SMEs will be researched through online dialogues. This will be followed by a market scan, an overview of existing state of the art solutions to digital and green constraints in other economic sectors, which may be applied to tourism SME business operations: water, energy, food, plastic, transport and furniture /equipment. The scan identifies best practices from other sectors related to nudging of clients towards sustainable behaviour and nudging of staff on how to best engage with new tourism market segments.The next stage of the project relates to two design processes: an online diagnostic tool that allows for measuring and assessing (160) SME’s potential to adapt existing solutions in digital and green challenges, developed in other economic sectors. Next to this, a knowledge hub, addresses knowledge constraints and proposes solutions, business advisory services, training activities to SMEs participating. The hub acts as a matchmaker, bringing together 160 tourism SMEs searching for solutions, with suppliers of existing solutions developed in other sectors. The next key activity is a cross-domain open innovation programme, that will provide 80 tourism SMEs with financial support (up to EUR 30K). Examples of partnerships could be: a hotel and a supplier of refurbished matrasses for hospitals; a restaurant and a supplier of food rejected by supermarkets, a dance event organiser and a supplier of refurbished water bottles operating in the cruise industry, etc.The 80 cross-domain partnerships will be supported through the knowledge hub and their business innovation advisors. The goal is to develop a variety of innovative partnerships to assure that examples in all operational levels of tourism SMEs.The innovation projects shall be presented during a show-and-share event, combined with an investors’ pitch. The diagnostic tool, market scan, knowledge hub, as well as the show and share offer excellent opportunities to communicate results and possible impact of open innovation processes to a wider international audience of destination stakeholders and non-tourism partners. Societal issueSupporting the implementation of digital and circular economy solutions in tourism SMEs is key for its transition towards sustainable low-impact industry and society. Benefit for societySolutions are already developed in other sectors but the cross-over towards tourism is not happening. The project bridges this gap.
In De Haagse Hogeschool werken de lectoraten vanuit faculteiten, dicht bij het onderwijs, nauw samen in zeven kenniscentra. Deze kenniscentra zijn de verbinding tussen de regio, met zijn actuele thema’s (vaak gelinkt aan het missiegedreven innovatiebeleid van de overheid) en het onderwijs en onderzoek van de Haagse Hogeschool. De zeven kenniscentra van De Haagse Hogeschool zijn: Cybersecurity, Digital Operations & Finance, Global & Inclusive Learning, Global Governance, Health Innovation, Governance of Urban Transitions & Mission Zero. Deze kenniscentra zijn in opstartende fase en worden ondersteund door centrale diensten. De Haagse Hogeschool kiest voor versterking van de onderzoeksinfrastructuur die centraal staat in de kenniscentra: ‘de Haagse Labs’. Praktijkgericht onderzoek vindt in deze omgevingen plaats als een vervlechting van onderwijs (studenten en docenten), onderzoek, het werkveld en maatschappelijke partners. Sommige labs hebben een tijdelijk karakter, andere, zoals de hogeschool zelf, zijn continu een omgeving waarbinnen onderzoek gedaan wordt. De Haagse Labs zijn bij uitstek de plek waarin nauw samengewerkt wordt met andere hogescholen of kennisinstellingen (veelal zijn ze ontstaan uit een samenwerking zoals The Green Village, of het Basalt SmartLab). De keuze voor de Haagse Labs geeft verdieping aan regionale samenwerkingen en bijbehorende speerpunten. De huidige, meer informele inrichting, kan met behulp van Impuls 2020, verder structuur krijgen, leiden tot een betere kennisdeling tussen de kenniscentra heen en de regionale netwerkvorming versterken. Naast het formaliseren van ‘de Haagse Labs’ zetten we in op zichtbaarheid van de Hogeschool in de regio door te investeren in communicatie (denk bijvoorbeeld aan het opzetten van podcasts, en digitale middelen in Corona-tijd). Die profilering van ons onderzoek wordt verder ondersteunt door een traject rond visievorming en strategische positionering. De kenniscentra zullen begeleid worden om einde 2021 een visie te ontwikkelen met bijbehorende acties om de rol van de hogeschool in de regio te versterken.
