@article{5af0c73930064400b0bd1ab303ff6695,
title = "Green flight challenge: Aircraft design and flight planning for extreme fuel efficiency",
abstract = "The Green Flight Challenge occurred in September 2011 as a competition to spur extreme flight efficiency for general aviation aircraft. In order tocompete, an aircraft hadto demonstrate flight over a 200 mile course at an average groundspeed of 100 mph with a fuel efficiency greater than 200 passenger miles per equivalent gallon. This paper describes the design of Taurus G4, the world's first four-seat electric-powered aircraft, and the flight-planning techniques used in winning the competition. The aircraft demonstrated flight over a 196 mile course at an average speed of 107mphand an average equivalent fuel efficiency of 403.5 passenger miles per equivalent gallon of automotive gasoline. In this demonstration, it showed that battery-powered flight is practical for general aviation missions.",
author = "Langelaan, {Jack W.} and Anjan Chakrabarty and Aijun Deng and Kirk Miles and Vid Plevnik and Jure Tomazic and Tine Tomazic and Gregor Veble",
note = "Funding Information: The real-time meteorological modeling support for the 2011 Green Flight Challenge was provided by the Numerical Weather Prediction (NWP) group of the Department of Meteorology at Pennsylvania State University. The core of the real-time modeling system is the Weather Research and Forecasting (WRF) model [10]. The WRF modeling system is a state-of-the-science community-supported numerical weather prediction (NWP) and atmospheric simulation system used worldwide for both research and operational applications. WRF{\textquoteright}s development is supported by the broad scientific community, including the National Center for Atmospheric Research Mesoscale and Microscale Meteorology Division, the National Oceanic and Atmospheric Administration{\textquoteright}s National Centers for Environmental Prediction (NCEP) and Earth System Research Laboratory, the Department of Defense Air Force Weather Agency and Naval Research Laboratory, the Center for Analysis and Prediction of Storms at the University of Oklahoma, and the FAA, along with very active participation of university scientists world-wide. Pennsylvania State University has been one of the contributing developers of the WRF system in the areas of model physics and data assimilation [11,12].",
year = "2013",
doi = "10.2514/1.C032022",
language = "English (US)",
volume = "50",
pages = "832--846",
journal = "Journal of Aircraft",
issn = "0021-8669",
publisher = "American Institute of Aeronautics and Astronautics Inc. (AIAA)",
number = "3",
}