Conference Agenda

Hydrogen has an important role in the future energy system in Europe, especially for the electrification of transport sector. The economic feasibility of hydrogen refueling stations, including infrastructure of wind turbine, solar PC, battery and electrolyser, depends on the geographical locations. This study evaluates the levelized cost of hydrogen (LCOH) of refueling stations by using solar radiation and wind speed data in selected locations, and proposes the best configuration of infrastructures facing different climate conditions. The study reports LCOH varying between 3.5 to 15 €/kg. Furthermore, adding battery may only slightly reduce LCOH, but on the other hand it significantly increases the production outputs. Therefore, a battery can be considered as an option, to be added at the later stage of investment for expanding the existing infrastructure, i.e. solar-wind electrolyser system, to cope with the diffusion of hydrogen market. The study helps investors and policy makers foreseeing the opportunities of developing refueling stations in Europe.

This study investigates the factors influencing users’ perceptions of virtual reality (VR) technology use for team collaboration and users’ intentions to adopt the technology in the future. By integrating the Technology Acceptance Model (TAM) with additional constructs from the Unified Theory of Acceptance and Use of Technology (UTAUT), we aim to understand the complex interplay between social presence, self-efficacy, perceived media richness, and communication satisfaction in shaping user trust in team meetings using virtual reality technologies. The 541 subjects in the study collaborated in teams of 5-7 participants per team while in a VR boardroom environment. Our study uses surveys and interviews to understand user motivations and barriers to VR adoption for team collaboration. The findings will contribute to both theoretical advancements in technology adoption research and practical insights for designers and developers aiming to create more user-friendly and appealing VR experiences.

This paper conducts a comprehensive examination of the evolution from Industry 1.0 to Industry 5.0, meticulously exploring the similarities and differences among these industrial eras. With a primary focus on Industry 4.0 and Industry 5.0, it provides a detailed investigation of their characteristics and the influence of artificial intelligence (AI) within each. Key attributes such as IoT integration, data analytics, smart factory concepts, human-machine collaboration, personalization versus standardization, the evolving role of humans, and decentralized decision making are thoroughly analyzed. Furthermore, the paper assesses the impact of AI in both Industry 4.0 and 5.0, comparing and contrasting its effects on cognitive assistance, personalized manufacturing, human-machine collaboration, autonomous decision-making, supply chain optimization, and other relevant areas.