Condensing boilers have a higher efficiency than standard boilers as they use the latent energy of water vapor through condensation. One of the challenges for this type of boiler is to reduce the size of the boiler, which would allow it to reach a larger number of buildings and households, as well as reducing material...
New facilities with a growing number of Heating, Ventilation and Air-conditioning (HVAC) machines produce huge amounts of data. Usually, a deterministic system with brute force conditions was applied to detect comfort anomalies in more than 3,000 installations worldwide, with 600,000 variables monitored resulting in 3 trillion records for 5 years. The challenge of this experiment...
Anaerobic digestion is the process by which microorganisms degrade organic matter in the absence of oxygen, producing a methane-rich biogas stream that can be used for energy generation. Industrially this process takes place in large full tanks called anaerobic digesters. The main motivation was to prove that an optimal energy balance between energy consumption and...
If a chimney is not properly designed, not enough oxygen will reach the stove and combustion will be inefficient. There are many variables involved in the optimization of the design of a chimney and physical testing is not feasible on the grounds of cost and time. Consequently, it is necessary to use advanced numerical tools...
The challenge of this case study was to simulate and optimize the tightening of flanges. This required the development of a computer model for simulating the tightening process and a front-end application to control the simulations in order to improve the design of the tightening process. Given the complexity of the problem, HPC resources were..
The challenge was:
- to identify the main meteorological variables that influence incidents in distribution networks.
- to develop reliable demand and generation forecasting models.
- to develop a system that collects, processes, and integrates the information from the various data sources identified.
- to develop incident forecasting algorithms based on historical data Integrate the different algorithms developed for...
The challenge faced was to modify a software to run in a HPC-Cloud environment instead of using a local PC. The goal was to reduce the number of computing hours to minutes even for large-scale optimizations.
An additional goal was to develop a graphical user interface to guide the optimizations. The modified software would serve...
This challenge needs to develop an application that combines GIS (Geographic Information System), NWP (Numerical Weather Prediction), CFD (Computational Fluid Dynamics) and analytical software, NWP (Numerical Weather Prediction), CFD (Computational Fluid Dynamics) and analytical software in a cloud environment.
The company needs a cloud environment, to provide detailed information about wind flow in urban environments...
The challenge is to develop a Deep Learning system for the insurance sector to improve the data analysis needed in the actuarial process.
Insurance companies use complex statistical and mathematical models to estimate the different types of risk associated with an insurance policy and therefore to determine the possible premiums, with a whole science behind...
