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n-silico simulation-based engineering for real-time decision making: application to electric grids and automotion

Total activity: 1
Type of activity
Competitive project
Funding entity
Funding entity code
141.691,00 €
Start date
End date
Descomposición Propia Generalizada, ingeniería basada en simulación, reducción de modelos, tiempo real, toma de decisión
The capital aim of this project is to develop novel computational models and numerical methods to genuinely and drastically advance
simulation-based decision-making for cutting-edge industrial problems. It will confront existing knowledge gaps on fundamental
approaches in reduced order model techniques for real-time, inverse and optimization problems, and it will deliver comprehensive
understanding and tools for simulation in problems seen by industry as a major asset to increase performance and competitiveness. The
ultimate goal is to set the basis for the next generation of simulation tools that will be used for industry related problems within Europe. In
spite the international efforts in this area, these objectives represent a challenge beyond todays state-of-the-art both from the fundamental
computational engineering/science perspective and from the applied engineering industrial standpoint.
To achieve these objectives, InSilico is focused on three specific industrial problems (IP), namely, fast simulation supporting surgery;
electric grids, including uncertainty quantification and decision making; and aerodynamical and mechanical simulation for shape design
and optimization in the automotive industry.
The project aims at providing tools to face the Social Challenge on Economy and Digital Society (#7 from the list of those identified by the
Spanish RTD Strategy). The instruments for decision making provided by the methologies developed here are to be implemented in
portable digital devices. The possibility of producing online real-time simulations with the computational capacity of a smart phone is
creating a new paradigm in the social use of the simulation software for industrial design, for management and control of complex systems
and for monitoring health technologies.
Incidentally, making progress in the three IPs (Surgery, Electric grids and Automotion) is having impact in three other Social Challenges:
Health, Demographical Change and Welfare (#1); Clean, Safe and Sustainable Energy (#3) and Integrated and Sustainable Smart
Transport (#4).
These three big problems, apparently dissimilar and unrelated, share one essential feature: the presence of many queries and the need for
real-time response. By real time different things are meant depending on the context, but in general this relates to the need of a fast and
reliable response provided in times much lower than those usual for everyday engineering simulation practice, and ranging from some
milliseconds in virtual surgery to some minutes in shape optimisation.
To efficiently solve these problems, it is envisaged that model order reduction techniques constitute nowadays the sole alternative to more
traditional tools that, despite the generalization of supercomputing infrastructures, have not provided a satisfactory solution yet under these
astringent requirements. Among the plethora of possible model order reduction techniques, Proper Generalized Decomposition techniques
have demonstrated, despite their youth, an impressive capacity to provide real time response in a wide variety of problems. By stating the
problem at hand into a parametric formulation, a sort of computational vademecum is obtained, that allows for real-time post-processing
rather than real-time simulation. This computational vademecum approach opens unprecedented possibilities for real time and many query
problems, as previous works of the applicants have already demonstrated.
Adm. Estat
Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016
Call year
Funcding program
Programa Estatal de I+D+i Orientada a los Retos de la Sociedad
Funding call
Retos de Investigación: Proyectos de I+D+i
Grant institution
Gobierno De España. Ministerio De Economía Y Competitividad, Mineco


Scientific and technological production

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