The world is rapidly transforming. Economic, ecological and technological developments transcend existing boundaries and challenge the way we innovate. The challenge we face is to reinvent innovation as well, changing the way organisations and industries innovate and cooperate. Only with a new approach we can design a better future: an approach where stakeholders from government, organisations, companies and users participate in new ways of collaboration; an approach where solutions are realised that makes our society future-proof. Participatory innovation means that the innovation team changes: expanding beyond the boundaries of the own organisation. For organisations and companies, this is a huge step. Every partner must be willing to think and act beyond their own borders and participate in a joint effort. Participative innovation is a new way of working, where new challenges are encountered. In the field of urban lighting, this transformation is strongly felt. This paper will further explore the challenge and describe a rich case study where participative innovation is used to rethink, redesign and realise the solutions to transform urban lighting from functional lighting to improving social quality.
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Health symptoms may be influenced, supported, or even controlled via a lighting control system which includes personal lighting conditions and personal factors (health characteristics). In order to be effective, this lighting control system requires both continuous information on the lighting and health conditions at the individual level. A new practical method to determine these continuous personal lighting conditions has been developed: location-bound estimations (LBE). This method was validated in the field in two case studies; comparisons were made between the LBE and location-bound measurements (LBM) in case study 1 and between the LBE and person-bound measurements (PBM) in case study 2. Overall, the relative deviation between the LBE and LBM was less than 15%, whereas the relative deviation between the LBE and PBM was 32.9% in the best-case situation. The relative deviation depends on inaccuracies in both methods (i.e., LBE and PBM) and needs further research. Adding more input parameters to the predictive model (LBE) will improve the accuracy of the LBE. The proposed first approach of the LBE is not without limitations; however, it is expected that this practical method will be a pragmatic approach of inserting personal lighting conditions into lighting control systems.
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Long-term care facilities are currently installing dynamic lighting systems with the aim to improve the well-being and behaviour of residents with dementia. The aim of this study was to investigate the implementation of dynamic lighting systems from the perspective of stakeholders and the performance of the technology. Therefore, a questionnaire survey was conducted with the management and care professionals of six care facilities. Moreover, light measurements were conducted in order to describe the exposure of residents to lighting. The results showed that the main reason for purchasing dynamic lighting systems lied in the assumption that the well-being and day/night rhythmicity of residents could be improved. The majority of care professionals were not aware of the reasons why dynamic lighting systems were installed. Despite positive subjective ratings of the dynamic lighting systems, no data were collected by the organizations to evaluate the effectiveness of the lighting. Although the care professionals stated that they did not see any large positive effects of the dynamic lighting systems on the residents and their own work situation, the majority appreciated the dynamic lighting systems more than the old situation. The light values measured in the care facilities did not exceed the minimum threshold values reported in the literature. Therefore, it seems illogical that the dynamic lighting systems installed in the researched care facilities will have any positive health effects.
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In 2024, the Dutch government set a new plan for offshore wind farms to become the Netherlands' largest power source by 2032, aiming for 21 GW of installed capacity. By 2050, they expect between 38 and 72 GW of offshore wind power to meet climate-neutral energy goals. Achieving this depends heavily on efficient wind turbines (WTs) operation, but WTs face issues like cavitation, bird strikes, and corrosion, all of which reduce energy output. Regular Inspection and Maintenance (I&M) of WTs is crucial but remains underdeveloped in current wind farms. Presently, I&M tasks are done by on-site workers using rope access, which is time-consuming, costly, and dangerous. Moreover, weather conditions and personnel availability further hinder the efficiency of these operations. The number of operational WTs is expected to rise in the coming years, while the availability of service personnel will keep on declining, highlighting the need for safer and more cost-effective solutions. One promising innovation is the use of aerial robots, or drones, for I&M tasks. Recent developments show that they can perform tasks requiring physical interaction with the environment, such as WT inspections and maintenance. However, the current design of drones is often task-specific, making it financially unfeasible for small and medium-sized enterprises (SMEs) – providing services in WT inspection and maintenance- to adopt. Together with knowledge institutes, SMEs and innovation clusters, this project addresses these urgent challenges by exploring the question of how to develop a modular aerial robot that can be easily and intuitively deployed in offshore environments for inspecting and maintaining WTs to facilitate SMEs adoption of this technology? The goal is to create a modular drone that can be equipped with various tools for different tasks, reducing financial burdens for SMEs, improving worker safety, and facilitating efficient green energy production to support the renewable energy transition.
Er wordt continu ‘reuzenarbeid’ verricht in het rivierengebied in het teken van hoogwaterbescherming, vaarwegbeheer, natuurontwikkeling en delfstoffenwinning. Bij veel van deze rivierprojecten maakt grondverzet het grootste deel uit. Het is onder andere bepalend voor de kosten, de CO2-footprint en de omgevingshinder van dergelijke projecten, en de ruimtelijke kwaliteit van het rivierlandschap. Slim omgaan met grond is daarom een sleutelfactor van duurzaam rivierbeheer. Het onderwerp heeft daarom een prominente plek in verschillende kennis- en innovatieagenda’s, zoals de KIA Landbouw, Voedsel en Water, de KIA Circulaire Economie, en de KIA van het Hoogwaterbeschermingsprogramma. Deze articuleren een behoefte aan praktijkgericht onderzoek dat bijdraagt aan verduurzaming en kostenreductie van grondverzet, zodat grondverzet in 2030 energieneutraal is, de kosten per m3 tussen 2020 en 2030 aanzienlijk gedaald zijn en dat er in 2030 een gezonde slibeconomie is voor circulair materiaalgebruik. Desondanks moet er nog heel wat water door de Rijn voordat bovenstaande ambities in de praktijk kunnen worden gehaald. Het doel van dit project is om praktische inzichten en tools voor duurzaam grondmanagement in riviergebieden te ontwikkelen. Een consortium van 22 partijen (publiek, privaat, kennis) zal onder leiding van HAN lectoraat Sustainable River Management praktijkgericht onderzoek doen ter ondersteuning van technisch managers, ontwerpers, risicomanagers, projectmanagers en beheerders van dijken en uiterwaarden. Door middel van o.a. materiaalonderzoek, ontwerpend onderzoek en evaluaties worden praktische handvatten ontwikkeld voor realisatiestrategieën voor grondstoffenwinning volgens het DNA van de rivier, en het bruikbaar maken van sediment en gebiedseigen grond voor toepassing in de dijkenbouw. Bovendien worden verbeterde werkwijzen en tools ontwikkeld voor het op riviertakniveau afstemmen van vraag en aanbod van delfstoffen in natuur- en dijkversterkingsprojecten in het rivierengebied. Hiermee levert het project een concrete bijdrage aan de invulling van het Grondstoffenakkoord en het Rijksprogramma ‘Nederland Circulair in 2050’.
It is VHL’s mission to train high-quality, committed and innovative professionals who con-tribute to a more sustainable world , and who are able to organize and manage multi-stakeholder processes for sustainable change: graduates with transdisciplinary competences. Secondly, VHL aims to contribute to the SDG-agenda by linking its education and applied research to eight particular SDGs of which Resilient Communities is one. However, to operationalize SDGs in practice, and aligning targets and strategies of different stakeholders is difficult: ‘resilience’ and ‘sustainability’ refer to ‘wicked problems’ for which no definitive problem formulation, nor clear-cut solutions exist. Addressing wicked problems like ‘resilience’ and ‘sustainability’ requires transdisciplinary collaboration to manage and transform divergent values and conflicting interests, and to co-create sustainable innovations. This HBO postdoc views the 17 SDGs as a compass to align targets and strategies of citizens, government, civil society organizations, private sector and knowledge institutes who collaborate in Living Labs of VHL focusing on resilient communities/regions. Through spiraling action-reflection cycles, stakeholders will use the SDG compass to make success mechanisms, obstacles and trade-offs visible, assuming they stay engaged to overcome difficulties to improve interventions and innovations; this is expected to result in adapted sustainability practices and lessons learned on reaching community resilience. The postdoc’s aim is two-fold highlighting the link between research and education: (1) Design a methodology to integrate SDGs effectively in VHL’s applied research: using the SDGs as compass to improve performance and outcomes of transdisciplinary collaborations. (2) Develop a Roadmap for transdisciplinary education at course, curriculum, and institutional level with SDGs as compass. Future graduates require the competence to work together with others outside one own’s discipline, institute, culture or context. Living Labs offer a suitable learning environment to develop this competence
