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Danielle Soban
Researcher at Queen's University Belfast
Publications - 63
Citations - 772
Danielle Soban is an academic researcher from Queen's University Belfast. The author has contributed to research in topics: Value-driven design & Propulsion. The author has an hindex of 15, co-authored 63 publications receiving 678 citations. Previous affiliations of Danielle Soban include Georgia Institute of Technology.
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Journal ArticleDOI
HTS machines as enabling technology for all-electric airborne vehicles
TL;DR: This paper investigates the feasibility of all-electric aircraft based on currently available technology by investigating the development of high power density superconducting motors for aircraft propulsion and fuel cell based power systems for aircraft.
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HTS motors in aircraft propulsion: design considerations
TL;DR: In this paper, a specific sizing model of superconducting propulsion motors for aircraft design is presented, and the requirements for this application are presented in terms of power and dynamics as well as a load profile corresponding to a typical mission.
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Assessing life cycle impacts and the risk and uncertainty of alternative bus technologies
TL;DR: A novel framework for addressing uncertainty in whole life cycle costs and GHG emissions for the manufacture, use, maintenance and infrastructure phases of diesel and battery electric buses is developed to assist decision-makers in assessing the uncertainty of the life cycle impacts of alternative bus technologies.
Proceedings ArticleDOI
An Application of a Technology Impact Forecasting (TIF) Method to an Uninhabited Combat Aerial Vehicle
TL;DR: In this paper, the 4th World Aviation Congress and Exposition, San Francisco, CA, October 19-21, 1999, presented by the American Institute of Aeronautics and Astronautics.
Journal ArticleDOI
Defining a research agenda in Value Driven Design: Questions that need to be asked
TL;DR: Value driven design is an innovative design process that utilizes the optimization of a system level value function to determine the best possible design as discussed by the authors, which contrasts with more traditional systems engineering techniques, which rely on satisfying requirements to decide the design solution.