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95 Projects, page 1 of 19
assignment_turned_in ProjectFrom 2023Partners:UNIVERSITE DE TECHNOLOGIE TARBES OCCITANIE PYRENEES (UTTOP), INERIS, BRGM, Ecole des Mines ParisTech, Institut de France +4 partnersUNIVERSITE DE TECHNOLOGIE TARBES OCCITANIE PYRENEES (UTTOP),INERIS,BRGM,Ecole des Mines ParisTech,Institut de France,ENSMP,Université de Lorraine,CNRS délégation Occitanie Est,UORLFunder: French National Research Agency (ANR) Project Code: ANR-22-EXSS-0005Funder Contribution: 12,763,400 EURmore_vert assignment_turned_in ProjectFrom 2016Partners:Laboratoire Manceau de Mathématiques, ENSMP, Electricité de France - R&D, General Electric (France), Centre de Mathématiques AppliquéesLaboratoire Manceau de Mathématiques,ENSMP,Electricité de France - R&D,General Electric (France),Centre de Mathématiques AppliquéesFunder: French National Research Agency (ANR) Project Code: ANR-15-CE05-0024Funder Contribution: 271,120 EUROur aim is to develop together with our industrial partner EDF numerical and theoretical tools which are essential for decision making in a random environment related with the ecological transition. For this we propose to develop simplified mathematical models together with numerical methods, in order to give an answer to major applications, as for example : + The problems of storage related with the development of renewable energies ; + The development of decision tools in a context of ecological transition and decarbonisation ; + The need of dynamic investment models in a competitive environment with different energy producers ; + The risk management in extreme situations and with many risk factors. In our approach our expertise in developing efficient numerical methods in stochastic control, in stochastic and mean-field games as well as for models with uncertainty, combined with the practical expertise of EDF will be crucial, to produce understandable results which can then be used as a guide for efficient public and utilities decisions. Backward stochastic differential equations (BSDE) are a powerful tool of control, known and also already tested by EDF R&D. Related with the problems explained above, our objective consists in the study of efficient algorithms for BSDE in high dimension as required by applications, and to enlarge the class of control problems which can be considered with. The dynamic modelling of investment in a competitive environment is related with the study of stochastic games, and in the case of a large number of agents, with mean-field games. We will focus on investment games in which the agents have different objectives. A major problem for the games will be to develop a suitable notion of equilibrium, while for the mean-field games our objective is to include in the model a control of the local risk. Accounting for extreme situations in the Decision-Making tools constitutes another original aspect of the project. Our aim is also to develop methodologies to assess and measure extremes risks, identify and anticipate critical situations, by using the technics of rare events. We integrate extreme risks in the resolution of stochastic control problems. Moreover, as industrial and societal issues concern several decades, the stochastic model and the optimisation criteria are imperfectly identified, the uncertainty of the risk modelling is large. We tackle these issues by following two ways: first, using a « worst case » approach, using the theory of decision robustness. Second, with the quantification of uncertainty and sensitivity analysis. The research objectives of the project are not only of great interest for EDF but also for any company having to take decisions for a long time horizon, with a large number of variables or with model uncertainty, which is the case for sectors related with energy. Our research programme is split into the following milestones, which are transversal to the major applications aforementioned: Task 1. BSDE-based efficient algorithms for optimal stochastic control ; Task 2. Stochastic and mean-field games ; Task 3. Rare event analysis in optimal decision and risk management ; Task 4. Sensitivity analysis, The research results obtained in the frame of the project will be disseminated by publication in international journals with referee system, by a summer school and a conference, but also by the development of a public bank of benchmark problems and by making available the open-source codes of the developed programs.
more_vert assignment_turned_in Project2019 - 2020Partners:ENSMPENSMPFunder: Swiss National Science Foundation Project Code: 184113Funder Contribution: 81,230more_vert assignment_turned_in ProjectFrom 2024Partners:ENSADLab, Paris Dauphine University, INSHS, TALEMA, Bugis +3 partnersENSADLab,Paris Dauphine University,INSHS,TALEMA,Bugis,DRM,CNRS,ENSMPFunder: French National Research Agency (ANR) Project Code: ANR-23-SSAI-0002Funder Contribution: 149,983 EURThe term "industriation" invites us to return to the sources of industry, which defines the design and production activities of society, in order to break away from practices that are outdated by current environmental and social expectations. The project relies on the experience of the interdisciplinary ENAMOMA program at PSL University, an engagement for creative and responsible alternatives in fashion and materials, built through the collaboration of Paris Dauphine Université Paris Dauphine – PSL, l’Ecole nationale supérieure des arts décoratifs and Mines Paris – PSL. The team proposes to extend the experiments initiated by the collaboration of a fashion designer, Mossi Traoré, with industrial players looking for solutions to revalorize organic and mineral waste in open loop. A first exploratory research was lead through an educational interdisciplinary project. It stressed the importance of approaching the development of materials by taking into account the conditions imposed by waste, while transforming it into an opportunity material with high creative and collaborative potential. The project plans to extend and deepen the experimentations with collaborative research, with regular sharing of knowledge and interpretations and research by practice. Four steps will be associated: (1) The research will be based on a comparative analysis of the reuse of two types of waste, one organic, the other mineral, led by the same player. (2) It will define credible avenues for material development with a scientific, sensory, societal and organizational approach. (3) Experiments will put to the test the diverse applications both in terms of material and industry. (4) The results will be transformed into a guidebook for a museum structure, intended to become an immersive training tool for different types of audiences (youth, student, professional). The research will be valued in complementary journals and an exhibition will valorize the project. Benefits are expected at several levels, with first of all the development of recycling solutions at different levels of maturity, with attention paid to industrialization and life cycle issues beyond the development of the material. An industry expert will support the project team in that direction. The project also aims to support, through its method, the evolution of the creative process in the fashion sector where actors must rethink their practices to face environmental challenges. The media coverage of the first initiatives of Mossi Traoré highlights the leading force of this type of development. The project thus aims to support the emergence of creative personalities of a new kind, able to build bridges between sectors and between actors located at different stages of the value chain, and to engage consumers in new behaviors. The construction of a customizable guidebook for amateur and expert audience finally aims to support the transformation of practices through education.
more_vert assignment_turned_in ProjectFrom 2022Partners:INRA-SIEGE, CNRS IDF Sud (Gif), IOGS, Université Paris-Saclay, Ecole Normale Supérieure de Lyon +10 partnersINRA-SIEGE,CNRS IDF Sud (Gif),IOGS,Université Paris-Saclay,Ecole Normale Supérieure de Lyon,UR,Sorbonne University,Université de Lorraine,ENSMP,AMU,CENG,Xlim UMR 7252 CNRS/ Université de Limoges,Université Paris Cité,Université de Bordeaux,Ecole des Mines ParisTechFunder: French National Research Agency (ANR) Project Code: ANR-22-PETQ-0006Funder Contribution: 10,498,100 EURmore_vert
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