The objectives of this project are oriented towards the third challenge in the Spanish Strategy of Science, Technology and Innovation, i.e. safe, efficient and clean energy. Within this framework, we propose to work on the development of advanced supercomputing algorithms. They should be stable and reliable, working with a minimal amount of empirical information, and focused on two important renewable energy fields: solar thermal plants and wind-energy. These fields involve many different physical mechanisms combining a broad range of physical and temporal scales (multiphysics-multiscale modeling). The project consists on two interrelated main lines of research. The first one is a basic research line focused on the development and improvement of numerical techniques for fluid mechanics in turbulent regime and heat transfer. The key elements to improve their accuracy are threefold: the computing capacity of modern (i) high performance computers (HPC) based on hybrid architectures (e.g, CPU+GPU), the improvement of our (ii) numerical techniques and the reliability of (iii) turbulence models. In this regard, this research project interlaces these three pillars with the aim to tackle the problem of turbulence and heat transfer in incoming HPC systems that demand new algorithmic approaches with much higher arithmetic intensity. This central idea of the project will be present in the first seven objectives. Namely, (i) the development of highly-parallel Poisson solvers (O2) and numerical algorithms for the radiative transport equation (O3) that can run efficiently on any kind of modern supercomputer (O1) will constitute the computational base of the project. Moreover, (ii) the development of numerical algorithms for complex geometries will also be addressed in the same vein. This includes the construction of high-order formulations for unstructured meshes with high arithmetic intensity and low memory consumption (O4). In doing so, the basic conservation principles of the governing equations need to be exactly conserved at discrete level; therefore, this type of discretization are the most appropriate for turbulent flows. This should form a solid numerical basis for testing new turbulence models for the subgrid heat flux (O7) and wall-models for turbulent boundary layers (O6) at high Reynolds numbers. The latter will be developed on the basis of new implicit-explicit time-integration schemes with high arithmetic intensity (O5) with the aim to significantly increase the timestep in the near-wall regions. Hence, near-wall regions will be integrated implicitly whereas the rest of the domain will remain solved explicitly. The second line of research is applied to the above-mentioned renewable energy fields: solar thermal plants and wind energy. This line follows the supercomputing trends of the Scientific Excellence Challenges within the Horizon 2020 framework. Moreover, it constitutes a great tool for the priority challenges in renewable energies in Social Challenges of the Horizon 2020. This line consists on two topics of research; namely, multi-physics and multi-scale simulations of high-temperature solar thermal systems (O8) and wind energy (O9). The project focuses on the detailed analysis of relevant elements of these systems with a minimal amount of empirical information.
Gonzalez, I.; Naseri, A.; Chiva, J.; Rigola, J.; Perez, C. European Conference on Computational Mechanics (Solids, Structures and Coupled Problems) / European Conference on Computational Fluid Dynamics p. 1361-1372 Presentation's date: 2018-06-13 Presentation of work at congresses
Calafell, J.; Trias, F. X.; Oliva, A. European Conference on Computational Mechanics (Solids, Structures and Coupled Problems) / European Conference on Computational Fluid Dynamics p. 302-312 Presentation's date: 2018-06-12 Presentation of work at congresses
Amani, A.; Naseri, A.; Perez, C.; Oliva, A. European Conference on Computational Mechanics (Solids, Structures and Coupled Problems) / European Conference on Computational Fluid Dynamics p. 101-110 Presentation's date: 2018-06-11 Presentation of work at congresses
Trias, F. X.; Dabbagh, F.; Gorobets, A.; Oliva, A. European Conference on Computational Mechanics (Solids, Structures and Coupled Problems) / European Conference on Computational Fluid Dynamics p. 313-322 Presentation's date: 2018-06-11 Presentation of work at congresses