The DICE model claims that technological progress can prevent global warming at low cost. However, many uncertainties about climate damages and backstop technologies are not taken into account in this model. Our analysis is based on a very large number of scenarios to account for the possible range of the climate damage function and the level of efficiency of future backstop technologies, as well as their financial costs. We show that if DICE's assumptions turn out to be less optimistic, it's a very risky bet to rely on technology alone to tackle climate change, with 82% of our scenarios leading to economic collapse. Then we introduce in the DICE model a social lever...

<div><p>À l’image de ses aéroports, des espaces où se matérialisent une multitude d’enjeux, économiques, sociaux, environnementaux, le transport aérien, dans son ensemble, est profondément enchevêtré dans le fonctionnement des sociétés humaines actuelles. Au-delà du moyen de transport, de l’outil au service de la mobilité, l’activité aérienne a infiltré toutes les composantes de la vie en société. Elle est par certains égards l’un de ses piliers organisateurs, et même d’un mode vie à part entière. À l’heure d’une réflexion sur le devenir de l’aviation au prisme du dérèglement climatique, il s’agit de mesurer et d’établir une vue globale sur ses implications sociétales...

Piezoelectric resonant de-icing systems are attracting great interest. This paper aims to assess the implementation of these systems at the aircraft level. The article begins with the model to compute the power requirement of a piezoelectric resonant de-icing system sized from the prototype detailed in Part 1/2 of this article. Then the mass, drag, and fuel consumption of this system and the subcomponents needed for its implementation are assessed. The features of a piezoelectric resonant de-icing system are finally computed for aircraft similar to Airbus A320 aircraft and aircraft of different categories (Boeing 787, ATR 72 and TBM 900) and compared with the existing...

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The anthropogenic origin of climate change is now unequivocal, and its mitigation requires drastic reductions in greenhouse gas emissions. Although aviation is a relatively moderate emitter, it still accounts for about 2.6% of CO2 emissions and is responsible for significantnon-CO2, globally warming effects. Several decarbonisation levers are available to reverse the upward emissions trend, including further improvements in aircraft and operational efficiency and the replacement of fossil kerosene with low-carbon alternatives. The advantages and disadvantages of these different options, as well as their interactions, can be explored in prospective transition scenarios...

This paper introduces an Unscented Kalman Filter (UKF) on the Special Euclidean group SE(2) based on optimal quantization, integrating it within the Invariant Linear Quadratic Gaussian (ILQG) regulator to solve trajectory tracking featuring high-angle variations. Traditional trajectory tracking methods like the Linear Quadratic Gaussian (LQG) regulator often face limitations due to linearization, especially under highly nonlinear model, high-angle maneuvers and/or stochastic uncertainties. The proposed approach overcomes these limitations by employing a sigma-point filter, the Unscented Kalman Filter on Lie groups (UKF-LG) enhanced with optimal quantization. This method...

Heterogeneous datasets emerge in various machine learning or optimization applications that feature different data sources, various data types and complex relationships between variables. In practice, heterogeneous datasets are often partitioned into smaller well-behaved ones that are easier to process. However, some applications involve expensive-to-generate or limited size datasets, which motivates methods based on the whole dataset. The first main contribution of this work is a modeling graph-structured framework that generalizes state-of-theart hierarchical, tree-structured, or variable-size frameworks. This framework models domains that involve heterogeneous datasets...

Plenty of asteroid exploration missions have launched in recent years and more missions are planned in the near future. Landing on an asteroid is an important phase of the mission to obtain variable scientific data which is not accessible from orbits, and allows to obtain materials for a sample return mission. Asteroid landing guidance is a challenging task due to several factors. Due to the communication delay between the ground station and the spacecraft, the autonomous, computationally efficient on-board spacecraft guidance is inevitable especially when the spacecraft is near the asteroid surface. In addition, the guidance needs to take into account uncertainties...

To overcome the innovation gap of the Guidance, Navigation and Control (GNC) design process between research and industrial practice a benchmark of industrial relevance has been developed and is presented. This initiative is driven as well by the necessity to train future GNC engineers and the GNC space community on a set of identified complex problems. It allows to demonstrate the relevance of state-of- the-art modeling, control and analysis algorithms for future industrial adoption. The modeling philosophy for robust control synthesis, analysis including the control architecture that enables the simulation of the mission, i.e. the acquisition of a high pointing space...