TY - JOUR A1 - Nehk, Nadia A1 - Tiberius, Victor A1 - Kraus, Sascha T1 - Urban air mobility BT - projections for air taxis JF - International journal of innovation and technology management N2 - The growing global demand for efficient and sustainable urban mobility in metropolitan areas has created innovative approaches to new modes of transportation and vehicles. Using the Delphi method, this study explored the prospective development of urban air mobility (UAM), specifically the emergence of air taxis or vertical take-off and landing (VTOLs). The two-staged study examined 25 projections regarding technological and infrastructural aspects to propose a future scenario for UAM and air taxis for the next 5-10 years. The questioned experts confirmed most of the proposed statements from both areas but were undetermined regarding certain technological aspects. Considering the crucial impacts of regulation and certification as well as consumer perception and acceptance for UAM and air taxis, further research on these topics and their correlation is suggested. KW - Urban air mobility KW - Air taxi KW - VTOL (vertical take-off and landing) KW - Sustainable aviation KW - Delphi method KW - Forecasting Y1 - 2021 U6 - https://doi.org/10.1142/S0219877021500334 SN - 0219-8770 SN - 1793-6950 VL - 18 IS - 07 PB - World Scientific CY - Singapore ER - TY - JOUR A1 - Jeltsch, Florian A1 - Blaum, Niels A1 - Brose, Ulrich A1 - Chipperfield, Joseph D. A1 - Clough, Yann A1 - Farwig, Nina A1 - Geissler, Katja A1 - Graham, Catherine H. A1 - Grimm, Volker A1 - Hickler, Thomas A1 - Huth, Andreas A1 - May, Felix A1 - Meyer, Katrin M. A1 - Pagel, Jörn A1 - Reineking, Björn A1 - Rillig, Matthias C. A1 - Shea, Katriona A1 - Schurr, Frank Martin A1 - Schroeder, Boris A1 - Tielbörger, Katja A1 - Weiss, Lina A1 - Wiegand, Kerstin A1 - Wiegand, Thorsten A1 - Wirth, Christian A1 - Zurell, Damaris T1 - How can we bring together empiricists and modellers in functional biodiversity research? JF - Basic and applied ecology : Journal of the Gesellschaft für Ökologie N2 - Improving our understanding of biodiversity and ecosystem functioning and our capacity to inform ecosystem management requires an integrated framework for functional biodiversity research (FBR). However, adequate integration among empirical approaches (monitoring and experimental) and modelling has rarely been achieved in FBR. We offer an appraisal of the issues involved and chart a course towards enhanced integration. A major element of this path is the joint orientation towards the continuous refinement of a theoretical framework for FBR that links theory testing and generalization with applied research oriented towards the conservation of biodiversity and ecosystem functioning. We further emphasize existing decision-making frameworks as suitable instruments to practically merge these different aims of FBR and bring them into application. This integrated framework requires joint research planning, and should improve communication and stimulate collaboration between modellers and empiricists, thereby overcoming existing reservations and prejudices. The implementation of this integrative research agenda for FBR requires an adaptation in most national and international funding schemes in order to accommodate such joint teams and their more complex structures and data needs. KW - Biodiversity theory KW - Biodiversity experiments KW - Conservation management KW - Decision-making KW - Ecosystem functions and services KW - Forecasting KW - Functional traits KW - Global change KW - Monitoring programmes KW - Interdisciplinarity Y1 - 2013 U6 - https://doi.org/10.1016/j.baae.2013.01.001 SN - 1439-1791 VL - 14 IS - 2 SP - 93 EP - 101 PB - Elsevier CY - Jena ER - TY - JOUR A1 - Kayem, Anne Voluntas dei Massah A1 - Meinel, Christoph A1 - Wolthusen, Stephen D. T1 - A resilient smart micro-grid architecture for resource constrained environments JF - Smart Micro-Grid Systems Security and Privacy N2 - Resource constrained smart micro-grid architectures describe a class of smart micro-grid architectures that handle communications operations over a lossy network and depend on a distributed collection of power generation and storage units. Disadvantaged communities with no or intermittent access to national power networks can benefit from such a micro-grid model by using low cost communication devices to coordinate the power generation, consumption, and storage. Furthermore, this solution is both cost-effective and environmentally-friendly. One model for such micro-grids, is for users to agree to coordinate a power sharing scheme in which individual generator owners sell excess unused power to users wanting access to power. Since the micro-grid relies on distributed renewable energy generation sources which are variable and only partly predictable, coordinating micro-grid operations with distributed algorithms is necessity for grid stability. Grid stability is crucial in retaining user trust in the dependability of the micro-grid, and user participation in the power sharing scheme, because user withdrawals can cause the grid to breakdown which is undesirable. In this chapter, we present a distributed architecture for fair power distribution and billing on microgrids. The architecture is designed to operate efficiently over a lossy communication network, which is an advantage for disadvantaged communities. We build on the architecture to discuss grid coordination notably how tasks such as metering, power resource allocation, forecasting, and scheduling can be handled. All four tasks are managed by a feedback control loop that monitors the performance and behaviour of the micro-grid, and based on historical data makes decisions to ensure the smooth operation of the grid. Finally, since lossy networks are undependable, differentiating system failures from adversarial manipulations is an important consideration for grid stability. We therefore provide a characterisation of potential adversarial models and discuss possible mitigation measures. KW - Resource constrained smart micro-grids KW - Architectures KW - Disadvantaged communities KW - Energy KW - Grid stability KW - Forecasting KW - Feedback control loop Y1 - 2018 SN - 978-3-319-91427-5 SN - 978-3-319-91426-8 U6 - https://doi.org/10.1007/978-3-319-91427-5_5 VL - 71 SP - 71 EP - 101 PB - Springer CY - Dordrecht ER -