Over the last years a large growth in Electric Vehicles (EV) and charging infrastructure (CI) development has been observed. Particularly in metropolitan areas this growth has led to a system in which multitudes of interactions between EV users take place. While many researchers have focused on EV user charging behavior and deployment strategies for CI, little attention has been paid to conceptualizing the problem domain. This research provides a brief overview of complex systems theory, and derives six characterizing elements of complex systems that may be applicable for CI. The paper investigates both theoretically but also empirically how these characterizing elements apply for CI and provides implications for the further roll-out of CI for both policy makers and researchers. We illustrate our findings with preliminary results form ongoing research. Recommendations include the further development of simulation tools that are capable of exploring effects of e.g. non-linear behavior, feedback loops and emergence of new patterns on CI performance. In the end this paper aims to provide directions to enable policy makers to be better prepared for the anticipated exponential growth of EVs and CI.
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We live in an increasingly complex world, characterised by interconnected and intractable wicked problems. Systems mapping offers a visual approach for collectively understanding and envisioning how to coordinate the addressing of these problems. The agri-food sector is facing severe problems and systems mapping could be particularly instrumental in helping it navigate these difficulties.
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Since the first release of modern electric vehicles, researchers and policy makers have shown interest in the deployment and utilization of charging infrastructure. Despite the sheer volume of literature, limited attention has been paid to the characteristics and variance of charging behavior of EV users. In this research, we answer the question: which scientific approaches can help us to understand the dynamics of charging behavior in charging infrastructures, in order to provide recommendations regarding a more effective deployment and utilization of these infrastructures. To do so, we propose a conceptual model for charging infrastructure as a social supply–demand system and apply complex system properties. Using this conceptual model, we estimate the rate complexity, using three developed ratios that relate to the (1) necessity of sharing resources, (2) probabilities of queuing, and (3) cascading impact of transactions on others. Based on a qualitative assessment of these ratios, we propose that public charging infrastructure can be characterized as a complex system. Based on our findings, we provide four recommendations to policy makers for taking efforts to reduce complexity during deployment and measure interactions between EV users using systemic metrics. We further point researchers and policy makers to agent-based simulation models that capture interactions between EV users and the use complex network analysis to reveal weak spots in charging networks or compare the charging infrastructure layouts of across cities worldwide.
The textile industry contributes over 8% of global greenhouse gas emissions and 20% of the world's wastewater, exceeding emissions from international flights and shipping combined. In the European Union, textile purchases in 2020 resulted in about 270 kg of CO₂ emissions per person, yet only 1% of used clothes are recycled into new garments.To address these challenges, the Textile Hub Groningen (THG) aims to assist small and medium-sized enterprises (SMEs) and stakeholders in forming circular textile value chains, hence reducing waste. Designing circular value chains is complex due to conflicting interests, lack of shared understanding, knowledge gaps regarding circular design principles and emerging technologies, and inadequate tools for collaborative business model development. The potential key stakeholders in the circular textile value chain find it hard to use existing tools and methods for designing these value chains as they are often abstract, not designed to be used in a collaborative setting that fosters collective sense making, immersive learning and experimentation. Consequently, the idea of circular textile value chain remains abstract and hard to realize.Serious games have been used in the past to learn about, simulate and experiment with complex adaptive systems. In this project we aim to answer the following research:How can serious games be leveraged to design circular textile value chains in the region?The expected outcomes of this project are: • Serious game: Facilitates the design of circular textile value chains• Academic Publication: Publish findings to contribute to scholarly discourse.• Future Funding Preparation: Mobilize partners and prepare proposals for follow-up funding to expand the approach to other domains.By leveraging game-based collaborative circular value chain and business model design experiences, this project aims to overcome barriers in designing viable circular value chains in the textile industry.
The textile industry is responsible for over 8% of global greenhouse gas emissions and 20% of the world’s wastewater, surpassing the emissions from international flights and shipping combined. In the European Union, textile purchases in 2020 led to around 270 kg of CO₂ emissions per person, yet only 1% of used clothing is recycled into new garments. The municipality of Groningen manages an estimated 950 kilotons of textile waste but is only able to collect, sort, and recycle 250 kilotons. To address these challenges, Textile Hub Groningen (THG) seeks to support small and medium-sized enterprises (SMEs) and stakeholders in creating circular textile value chains. However, designing circular value chains presents challenges, including conflicting interests, knowledge gaps on circular design principles, and inadequate tools for collaborative business model development. Potential stakeholders often find current tools too abstract and not conducive to collaboration, learning, or experimentation. As a result, circular value chains remain difficult to achieve from the perspective of individual stakeholders. Serious games have been employed to simulate and experiment with complex adaptive systems , . Research shows that well-designed playful learning enhances both learning and motivation, particularly when social elements are integrated . This project aims to answer the following research question: How can serious games be leveraged to design circular textile value chains in the region? The expected outcomes are: 1. Serious Game: Design, test, and deliver a serious game to facilitate the joint design of circular textile value chains. 2. Publications: Extract insights from the game’s design and evaluation, contributing to both academic and practical discussions. 3. Consortium for Follow-up: Mobilize partners and secure funding for future projects in related fields. Through game-based collaborative circular value chain and business model design experiences, this project overcomes barriers in designing viable circular value chains in the textile industry
