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Towards Exascale HPC and Data Intensive Algorithms in the Energy Industry

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B2: Clean Energy".

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 4829

Special Issue Editors


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Guest Editor
Department of Computer Applications in Science and Engineering, Barcelona Supercomputing Center (BSC-CNS), Edificio NEXUS II, 3rd Floor, Jordi Girona, 29, 08034 Barcelona, Spain
Interests: fluid mechanics; computational fluid dynamics; turbulence modelling; large-eddy simulations; wind energy; aerodynamics; combustion; multi-phase flows; heat transfer

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Co-Guest Editor
Physics Department, Instituto Nacional de Investigaciones Nucleares, Km. 36.5 Carretera Mexico Toluca, Ocoyoacac, Salazar 52750, Mexico
Interests: computational fluid dynamic applied to various fields in basic science and engineering

E-Mail Website
Co-Guest Editor
Department of Computer Applications in Science and Engineering, Barcelona Supercomputing Center (BSC-CNS), Plaça Eusebi Güell 1-3, 08034 Barcelona, Spain
Interests: numerical simulation in engineering; high performance computing (HPC)

Special Issue Information

Dear Colleagues,

HPC resources have undergone a dramatic transformation, with an explosion on the available parallelism and the use of special purpose processors. The next technological milestone will be exaFlops supercomputers (1018 Floating Point Operations Per Second). These computers will have tenths to hundreds of millions of cores. Therefore, it is mandatory to develop algorithms and physical models that are able to efficiently exploit this massive parallelism. The present Special Issue explores different exascale candidate problems for the energy industry, targeting possible novel algorithms and possible modeling approaches. In this issue, we will focus on the following problems of the energy industry, specially targeting oil and gas, biofuel and wind energy:

  • Geophysical exploration for subsalt hydrocarbons
  • Reservoir modeling in naturally fractured reservoirs
  • Multiphase flows in pipelines with heavy oil
  • Molecular modeling of catalysts for heavy oil refining
  • Combustion simulation tools to optimize fuel–biofuel design and performance towards more sustainable and greener transport systems
  • Develop methodologies to understand and predict the multi-scale atmospheric motion relevant for the operation and performance of wind farms in complex wind situations

Dr. Oriol Lehmkuhl
Guest Editor
Prof. Dr. Jaime Klapp
Dr. Jose Maria Cela
Co-Gest Editors

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Keywords

  • HPC
  • oil and gas
  • biofuels
  • combustion
  • wind energy
  • CFD
  • reservoir modeling

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Published Papers (2 papers)

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Research

13 pages, 2646 KiB  
Article
Numerical Study of Multiphase Water–Glycerol Emulsification Process in a Y-Junction Horizontal Pipeline
by M. De la Cruz-Ávila, I. Carvajal-Mariscal, J. Klapp and J. E. V. Guzmán
Energies 2022, 15(8), 2723; https://doi.org/10.3390/en15082723 - 8 Apr 2022
Cited by 2 | Viewed by 1856
Abstract
This work aims to analyse different injection configurations for the analysis of the emulsification process in a Y-junction staggered horizontal pipeline. The case study comprises a multiphase analysis between two liquids, one with high and the other with low viscosity. Through numerical simulations, [...] Read more.
This work aims to analyse different injection configurations for the analysis of the emulsification process in a Y-junction staggered horizontal pipeline. The case study comprises a multiphase analysis between two liquids, one with high and the other with low viscosity. Through numerical simulations, it is intended to explain the behaviour and describe the mechanism that produces the water–glycerol emulsification process with three supply zones for both fluids. According to the phase injection scheme, six input scenarios or combinations were analysed. Through strain rate and shear velocity analyses, it was possible to describe the early stages of the emulsification process before a flow pattern is constituted. The results show significant variations concerning the high viscosity fluid, mainly because it presents a partial pipe flooding, even in the injection zone of the low viscosity fluid. The fluid ratio varies according to the input position of the phases. Additionally, a smooth blending process was observed in some scenarios, due to the fact that the continuous phase gradually directs the main fluid to the pipeline centre. The analysis revealed that supply configuration has a significant relevance on the development of the main fluid flow and a substantial extent on the emulsification process. Full article
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12 pages, 2522 KiB  
Article
HPC Geophysical Electromagnetics: A Synthetic VTI Model with Complex Bathymetry
by Octavio Castillo-Reyes, Josep de la Puente and José María Cela
Energies 2022, 15(4), 1272; https://doi.org/10.3390/en15041272 - 10 Feb 2022
Cited by 5 | Viewed by 2168
Abstract
We introduce a new synthetic marine model for 3D controlled-source electromagnetic method (CSEM) surveys. The proposed model includes relevant features for the electromagnetic geophysical community such as large conductivity contrast with vertical transverse isotropy and a complex bathymetry profile. In this paper, we [...] Read more.
We introduce a new synthetic marine model for 3D controlled-source electromagnetic method (CSEM) surveys. The proposed model includes relevant features for the electromagnetic geophysical community such as large conductivity contrast with vertical transverse isotropy and a complex bathymetry profile. In this paper, we present the experimental setup and several 3D CSEM simulations in the presence of a resistivity unit denoting a hydrocarbon reservoir. We employ a parallel and high-order vector finite element routine to perform the CSEM simulations. By using tailored meshes, several scenarios are simulated to assess the influence of the reservoir unit presence on the electromagnetic responses. Our numerical assessment confirms that resistivity unit strongly influences the amplitude and phase of the electromagnetic measurements. We investigate the code performance for the solution of fundamental frequencies on high-performance computing architectures. Here, excellent performance ratios are obtained. Our benchmark model and its modeling results are developed under an open-source scheme that promotes easy access to data and reproducible solutions. Full article
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