A5015317205- Wind and Air Flow Studies
- Meteorological Phenomena and Simulations
- Wind Energy Research and Development
- Cyclone Separators and Fluid Dynamics
- Social Acceptance of Renewable Energy
- Energy and Environment Impacts
- Catalytic Processes in Materials Science
- Energy Load and Power Forecasting
- Solar Radiation and Photovoltaics
- Building Energy and Comfort Optimization
- Industrial Gas Emission Control
- Solar Thermal and Photovoltaic Systems
- Integrated Energy Systems Optimization
- Chemical and Environmental Engineering Research
- Advanced Control Systems Optimization
- Microbial Metabolic Engineering and Bioproduction
- Forest Biomass Utilization and Management
- Generative Adversarial Networks and Image Synthesis
- Environmental Impact and Sustainability
- Electric Power System Optimization
- Computer Graphics and Visualization Techniques
- Advanced Image Processing Techniques
- Catalysis and Oxidation Reactions
- Hybrid Renewable Energy Systems
- Global Energy and Sustainability Research
Universidad de Zaragoza
2009-2011
Laboratory of Research in Fluid Dynamics and Combustion Technologies
2009-2010
Abstract The potential of on‐shore wind energy in Spain is assessed using a methodology based on detailed characterization the resource. To obtain such characterization, high‐resolution simulations weather during 1 year are performed, and statistics thus gathered used to estimate electricity‐generation potential. study reports also evolution with installed power capacity factor, parameter closely related cost generated energy, as well occupied land, which bears environmental social...
Abstract The ability to assess detailed wind patterns in real time is increasingly important for a variety of applications, including energy generation, urban comfort and environmental health, drone maneuvering complex environments. Machine Learning techniques are helping develop accurate reliable models predicting local patterns. In this paper, we present method obtaining predictions with higher resolution, similar those from computational fluid dynamics (CFD), coarser, therefore less...
A wet flue-gas desulfurization plant was simulated using a finite-volume commercial computational fluid dynamics (CFD) code with some extensions. An Eulerian model used to the gas phase, while slurry Lagrangian approach. mathematical formulated and implemented simulate SO2 absorption by droplets, taking into account influence of Reynolds Schmidt numbers temperature. The mist eliminators accounted for introducing pressure loss which is dependent on magnitude axial velocity. results from are...
The characterisation of wind is great interest in multiple disciplines such as city planning, pedestrian comfort and energy generation. We propose a conditional Generative Adversarial Network (cGAN), based on the Pix2Pix model [1], that can generate detailed local fields areas with complex orography or an urban layout, which are comparable level detail to those from Computational Fluid Dynamics (CFD) simulations, coarser Numerical Weather Prediction (NWP) data.
A wet flue-gas desulfurization plant was simulated using a finite-volume commercial computational fluid dynamics (CFD) code with some extensions. An Eulerian model used to the gas phase, while slurry Lagrangian approach. mathematical formulated and implemented simulate SO2 absorption by droplets, taking into account influence of Reynolds Schmidt numbers temperature. The mist eliminators accounted for introducing pressure loss which is dependent on magnitude axial velocity. results from are...