1,579 research outputs found
Andrea Scartabellati, Poietiche nazionaliste. Un itinerario giuliano tra testi, storiografie, identità, emozioni, Cercenasco, Marcovalerio, 2019, pp. 528.
Recensione al volume: Andrea Scartabellati, Poietiche nazionaliste. Un itinerario giuliano tra testi, storiografie, identità emozioni, Cercenasco, Marcovalerio, 201
Smart Materials: When Art Meets Technology
In this chapter, we will present our approach for the development of young artists. We describe how we helped them to discover new expression methods and methodology. We guided them through the smart material jungle with Arduino as lantern. We will describe the application and use of smart material interfaces (SMIs) in the context of artistic installations. SMIs are interfaces that make use of smart materials and the possibility of changing their physical properties to create interaction. We organised an intensive workshop in the Fine Art Academy of Venice. The students, divided into groups, produced interactive creative works based on cheap traditional materials enhanced with the properties of smart materials. Our idea was to use new materials to augment the degree of freedom of expressivity of traditional media. Through this experience, the budding artists had the possibility to learn new technology and techniques for creating fun new interaction by surprising and amazing the user in unexpected ways. The experience itself stood for a growing point of the students, and it allowed them to give life to their static works. Also, the possibility of augmenting objects with new properties allowed them to convey emotion and feelings, not just information
La protesta delle donne contro la guerra. Il 1917 nella provincia pisana
Il saggio ricostruisce le mobilitazioni delle donne contro la guerra che si verificarono nella provincia di Pisa tra il 1916 e il 1917. La ricerca mette in luce caratteri, natura e estensioni delle proteste, inserendo il caso toscano all'interno della cornice nazionale delle mobilitazioni nelle zone lontane dal fronte
Energy-sharing mechanisms for energy community members under different asset ownership schemes and user demand profiles
Renewable Energy Communities are aggregations of final users/prosumers whose energy comes from renewable power generators. This work systematically assesses the rules of the current and new approaches to sharing the generated benefits obtainable from renewable energy production and its consumption among members of a virtual net-metering energy community. In this work, three sharing mechanism algorithms are proposed to distribute the energy community net profit among the members, utilizing a Token currency, in proportion to the service they provide: financing service, self-consumption service, and both financing and self-consumption services. An energy community, comprising of 100 households and supplied by a 100 kWp photovoltaic system, has been simulated. Six scenarios were designed to determine how profits could be shared between users and prosumers. We focused on the impact that the adoption of a specific sharing mechanism could have on the different categories of members (e.g., low-energy users, high-energy users with ownership, etc.)
Smart material interfaces as a methodology for interaction
In this paper we give an overview of the work done on the methodology of using smart material interfaces as it appears in the literature until now. We address the opportunities oered by smart materials as they have been exploited by other researchers who created smart material interfaces. We do so by surveying smart materials by kind and by looking at how they have been exploited
Techno-economic dataset for hydrogen storage-based microgrids
The challenge of energy storage is a pivotal consideration in renewable energy-based power systems. Hydrogen emerges as a highly promising alternative or complementary solution to electric batteries, showcasing its potential for long-term and high-capacity storage. In this context, energy system modeling and optimization has gained prominence as an indispensable research tool, aiding in the processes of designing, sizing, and managing the day-to-day operations of renewable energy systems integrated with a hydrogen storage unit. However, the gathering of reliable and accurate techno-economic data emerges as time-consuming tasks, and the lack of standardized reference data introduces variability in model results. This variability arises from inconsistent input parameters rather than the physics or complexity of energy systems, leading to potentially erroneous results and misguided policy recommendations. Recognizing the need for comprehensive and transparent datasets, we introduce this open data techno-economic repository. The dataset is meticulously designed to encompass key technologies essential for hydrogen production, compression, storage, and utilization within a power-to-power system. Specifically, techno-economic data are reported for electrolysers, fuel cells, battery energy storage systems, hydrogen compression units, and hydrogen storage vessels. The learning curves and cost functions embedded in this paper, delineating investment costs as a function of production scale up and size, are derived directly from the raw data, providing a nuanced understanding of the economic landscape
Estimating Greenhouse Gas Emissions from Hydrogen-Blended Natural Gas Networks
Methane is a significant contributor to anthropogenic greenhouse gas emissions. Blending hydrogen with natural gas in existing networks presents a promising strategy to reduce these emissions and support the transition to a carbon-neutral energy system. However, hydrogen’s potential for atmospheric release raises safety and environmental concerns, necessitating an assessment of its impact on methane emissions and leakage behavior. This study introduces a methodology for estimating how fugitive emissions change when a natural gas network is shifted to a 10% hydrogen blend by combining analytical flowrate models with data from sampled leaks across a natural gas network. The methodology involves developing conversion factors based on existing methane emission rates to predict corresponding hydrogen emissions across different sections of the network, including mainlines, service lines, and facilities. Our findings reveal that while the overall volumetric emission rates increase by 5.67% on the mainlines and 3.04% on the service lines, primarily due to hydrogen’s lower density, methane emissions decrease by 5.95% on the mainlines and 8.28% on the service lines. However, when considering the impact of a 10% hydrogen blend on the Global Warming Potential, the net reduction in greenhouse gas emissions is 5.37% for the mainlines and 7.72% for the service lines. This work bridges the gap between research on hydrogen leakage and network readiness, which traditionally focuses on safety, and environmental sustainability studies on methane emission
Ketene 3-Component Staudinger Reaction (K-3CSR) to β-Lactams: A New Entry in the Class of Photoinduced Multicomponent Reactions
A Smart Material Interfaces Learning Experience
This paper describes a learning experience held with a class of primary school children who were introduced to a novel class of resources, named smart materials, and the interfaces built with them (Smart Material Interfaces). The pupils were guided along a multidisciplinary educational path in which traditional and innovative teaching methods were composed for educating while engaging the children. It led to the creation of 6 automated puppet plays focused on the themes of environmental awareness as a result. In this process, storytelling and visual programming acted as powerful means for merging different educational concepts and techniques. The children’s engagement and the educational impact were evaluated during and after of the experience, revealing interesting results. The data collected through the direct observation and the questionnaires indicate that the experience was perceived as a positive and interesting. The post evaluation, held some months later, revealed improvements in all the areas involved by the multidisciplinary experience, from the knowledge of the properties of smart materials and the programming skills, to the increase of the environmental awareness and the skills for text analysis
- …
