Horizontal axis wind turbines (HAWTs) experience three-dimensional rotational and unsteady aerodynamic phenomena at the rotor blades sections. These highlyunsteady three-dimensional effects have a dramatic impact on the aerodynamic load distributions on the blades, in particular, when they occur at high angles of attack due to stall delay and dynamic stall. Unfortunately, there is no complete understanding of the flow physics yet at these unsteady 3D flow conditions, and hence, the existing published theoretical models are often incapable of modelling the impact on the turbine response realistically. The purpose of this paper is to provide an insight on the combined influence of the stall delay and dynamic stall on the blade load history of wind turbines in controlled and uncontrolled conditions. New dynamic stall vortex and nonlinear tangential force coefficient modules, which integrally take into account the three dimensional rotational effect, are also proposed in this paper. This module along with the unsteady influence of turbulent wind speed and tower shadow is implemented in a blade element momentum (BEM) model to estimate the aerodynamic loads on a rotating blade more accurately. This work presents an important step to help modelling the combined influence of the stall delay and dynamic stall onthe load history of the rotating wind turbine blades which is vital to have lighter turbine blades and improved wind turbine design systems.
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Airborne wind energy (AWE) is an emerging renewable energy technology that uses kites to harvest winds at higher altitudes than wind turbines. Understanding how residents experience a local AWE system (AWES) is important as the technology approaches commercialization. Such knowledge can help adjust the design and deployment of an AWES to fit locals' needs better, thereby decreasing the technology's burden on people. Although the AWE literature claims that the technology affects nature and residents less than wind turbines, empirical evidence has been lacking. This first community acceptance study recruited residents within a 3.5 km radius of an AWE test site in Northern Germany. Using structured questionnaires, 54 residents rated the AWES and the closest wind farm on visual, sound, safety, siting, environmental, and ecological aspects. Contrary to the literature's claims, residents assessed the noise, ecological, and safety impacts similarly for the AWES and the wind farm. Only visual impacts were rated better for the AWES (e.g., no shadows were perceived). Consistent with research on wind turbines, residents who rated the site operation as fairer and the developer as more transparent tended to have more positive attitudes towards the AWES and to experience less noise annoyance. Consequently, recommendations for the AWE industry and policymakers include mitigating technology impacts and implementing evidence-based strategies to ensure just and effective project development. The findings are limited to one specific AWES using soft-wing kites. Future research should assess community responses across regions and different types of AWESs to test the findings' generalizability.
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In this report, the details of an investigation into the e ect of the low induction wind turbines on the Levelised Cost of Electricity (LCoE) in a 1GW o shore wind farm is outlined. The 10 MW INNWIND.EU conventional wind turbine and its low induction variant, the 10 MW AVATAR wind turbine, are considered in a variety of 10x10 layout configurations. The Annual Energy Production (AEP) and cost of electrical infrastructure were determined using two in-house ECN software tools, namely FarmFlow and EEFarm II. Combining this information with a generalised cost model, the LCoE from these layouts were determined. The optimum LCoE for the AVATAR wind farm was determined to be 92.15 e/MWh while for the INNWIND.EU wind farm it was 93.85 e/MWh. Although the low induction wind farm o ered a marginally lower LCoE, it should not be considered as definitive due to simple nature of the cost model used. The results do indicate that the AVATAR wind farms require less space to achieve this similar cost performace, with a higher optimal wind farm power density (WFPD) of 3.7 MW/km2 compared to 3 MW/km2 for the INNWIND.EU based wind farm.
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This interview-based article about Hubert Hermans, founder of The Dialogical Self Theory (DST), was intended to determine the founder’s personal relationship to the construction and development of his theory and to provide a portrait of the engaged scientist and vulnerable researcher at work. DST lends itself to interdisciplinary research and practice, and is used in diverse fields and contexts (e.g. psychotherapy; bereavement scholarship; higher education). However, little has been written about the founder of the theory. I embarked on this project to illuminate the researcher and theorist as an individual who taps into personal material for practical and conceptual learning, and to honour Hermans’s contribution to the field of psychology, in the spirit of a Festschrift. Reinekke Lengelle (02 Apr 2021): Portrait of a scientist: in conversation with Hubert Hermans, founder of Dialogical Self Theory1, British Journal of Guidance & Counselling, DOI: 10.1080/03069885.2021.1900779
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Based on the theory of embodied cognition we developed NOOT, at tangible tool that allows marking audio-moments during creative sessions. A detailed analysis of using NOOT in practice lead to a reconceptualization of NOOT within processes of external scaffolding. It also spurred a new design project focused on reflection during group sessions
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The rising global demand for district nursing care necessitates effective strategies to support evidence-based decision-making. Despite the extensive development of nursing guidelines, adherence by district nursing teams remains suboptimal, revealing a gap between guideline development and daily practice. The Learning And Reflection for Nurses (LEARN) programme aims to bridge this gap by enhancing guideline use and fostering a learning attitude among district nursing teams. This protocol outlines the programme’s development, components and evaluation approach.
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This manifesto describes the notion of sustainable development according to its basic appeal for economic, social and environmental value-creation, together with the implications of its meaning at the level of the individual (the manager), the organisation (the business) and society. As sustainable tourism is focused on the long term, foresight is used to develop four scenarios for a sustainable tourism industry in 2040: “back to the seventies”, “captured in fear”, “unique in the world”, and “shoulders to the wheel”. The implications of the scenarios are mapped for four distinct types of organisational DNA: the blue organisation focusing on quality, professionalism and efficiency, the red organisation for whom challenge, vision and change are most important, the yellow organisation addressing energy, optimism and growth, and the green organisation which is led by care, tradition and security. The manifest concludes with strategic propositions for tourism organisations in each of the four business types and each of the four scenarios.
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