While modern wind turbines have become by far the largest rotating machines on Earth with further upscaling planned for the future, a renewed interest in small wind turbines (SWTs) is fostering energy transition and smart grid development. Small machines have traditionally not received the same level of aerodynamic refinement as their larger counterparts, resulting in lower efficiency, lower capacity factors, and therefore a higher cost of energy. In an effort to reduce this gap, research programs are developing worldwide. With this background, the scope of the present study is 2-fold. In the first part of this paper, an overview of the current status of the technology is presented in terms of technical maturity, diffusion, and cost. The second part of the study proposes five grand challenges that are thought to be key to fostering the development of small wind turbine technology in the near future, i.e. (1) improving energy conversion of modern SWTs through better design and control, especially in the case of turbulent wind; (2) better predicting long-term turbine performance with limited resource measurements and proving reliability; (3) improving the economic viability of small wind energy; (4) facilitating the contribution of SWTs to the energy demand and electrical system integration; (5) fostering engagement, social acceptance, and deployment for global distributed wind markets. To tackle these challenges, a series of unknowns and gaps are first identified and discussed. Based on them, improvement areas are suggested, for which 10 key enabling actions are finally proposed.
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This qualitative study describes the experiences of five patients with advanced cancer who participated in a guidedreading and discussion about selected literary texts. The intervention consisted of reading a selected story, after which eachpatient was interviewed, using the reading guide as a conversation template. The interviews were then thematically analyzed fortheir conceptual content using a template analysis.First experiences with our newly developed reading guide designed to support a structured reading of storiescontaining experiences of contingency suggest that it may help patients to express their own experiences of contingency andto reflect on these experiences.
The purpose of this paper is to gain deeper insight into the practical judgements we are making together in ongoing organizational life when realizing a complex innovative technical project for a customer and so enrich the understanding of how customer orientation emerges in an organization. The outcome contributes to the knowledge of implementing customer orientation in an organization as according to literature (Saarijärvi, Neilimo, Närvänen, 2014 and Van Raaij and Stoelhorst, 2008) the actual implementation process of customer orientation is not that well understood. Saarijärvi, Neilimo and Närvänen (2014) noticed a shift from measuring the antecedents of customer orientation and impact on company performance, towards a better understanding how customer orientation is becoming in organizations. A different way of putting the customer at the center of attention can be found in taking our day-to-day commercial experience seriously, according to the complex responsive process approach, a theory developed by Stacey, Griffin and Shaw (2000). The complex responsive processes approach differs from a systems thinking approach, because it focuses on human behavior and interaction. This means that the only agents in a process are people and they are not thought of as constituting a system (Groot, 2007). Based on a narrative inquiry, the objective is to convey an understanding of how customer orientation is emerging in daily organizational life. Patterns of interaction between people are investigated, who work in different departments of an organization and who have to fulfill customer requirements. This implies that attention is focused towards an understanding in action, which is quite distinct from the kind of cognitive and intellectual understanding that dominates organisational thought. The reflection process resulting from this analysis is located in a broader discourse of management theory.
Human kind has a major impact on the state of life on Earth, mainly caused by habitat destruction, fragmentation and pollution related to agricultural land use and industrialization. Biodiversity is dominated by insects (~50%). Insects are vital for ecosystems through ecosystem engineering and controlling properties, such as soil formation and nutrient cycling, pollination, and in food webs as prey or controlling predator or parasite. Reducing insect diversity reduces resilience of ecosystems and increases risks of non-performance in soil fertility, pollination and pest suppression. Insects are under threat. Worldwide 41 % of insect species are in decline, 33% species threatened with extinction, and a co-occurring insect biomass loss of 2.5% per year. In Germany, insect biomass in natural areas surrounded by agriculture was reduced by 76% in 27 years. Nature inclusive agriculture and agri-environmental schemes aim to mitigate these kinds of effects. Protection measures need success indicators. Insects are excellent for biodiversity assessments, even with small landscape adaptations. Measuring insect biodiversity however is not easy. We aim to use new automated recognition techniques by machine learning with neural networks, to produce algorithms for fast and insightful insect diversity indexes. Biodiversity can be measured by indicative species (groups). We use three groups: 1) Carabid beetles (are top predators); 2) Moths (relation with host plants); 3) Flying insects (multiple functions in ecosystems, e.g. parasitism). The project wants to design user-friendly farmer/citizen science biodiversity measurements with machine learning, and use these in comparative research in 3 real life cases as proof of concept: 1) effects of agriculture on insects in hedgerows, 2) effects of different commercial crop production systems on insects, 3) effects of flower richness in crops and grassland on insects, all measured with natural reference situations
