Use of new high-strength steels in the construction of TSK facilities

In this project it is proposed to build the raw material handling and storage facilities using thermomechanically rolled microalloyed steels, with fine grain ferritic microstructures, and/or dual phase steels, with ferritic-martensitic microstructures, obtained by means of in-line heat treatment (low thickness plates) or controlled cooling after hot rolling (thicker plates), replacing the S355 type carbon steel. In this way, it will be possible to build welded structures using thinner sheets than those currently used, which are lighter and highly resistant to sub-zero temperatures.

High-precision multisensorial positioning and anti-collision system for hostile industrial environments

The project aims to develop a high-precision positioning and anti-collision system for heavy machinery, vehicles and other assets in industrial environments on the outdoors regardless of environmental conditions. There is a clear need for such systems to improve safety conditions (both equipment and people), to optimise resources (with real-time monitoring of assets), to improve productivity and, consequently, to reduce costs. The proposed solution is based on the integration of different sensors (sensor fusion) in order to be able to monitor vehicles reliably. These sensors stand out as they are practically immune to external conditions (humidity, dirt or visibility) and well-suited for industrial applications. The cheapening of the sensors in the wake of the Internet of Things revolution means that now is the suitable time for developing the proposed system.

Web-based real-time data control and monitoring center for electrical networks in a virtual reality environment

This project aims to implement a control and monitoring centre for real-time data in a virtual reality environment. Monitoring will be done through web applications embedded in the virtual environment, thus facilitating the integration of the virtual environment, databases and cloud computing and the exchange of information with real sensors. The aim is to implement a system, applied to a synthetic electricity network. Consumption and generation data in nodes will be emulated, and implemented in real sensors that will communicate with a central server in real time. Cloud computing techniques will be used in this server to estimate the rest of electricity/energy network variables, all the information generated will be stored in a database that will also communicate in real time with the integrated visualisation system in the virtual reality environment.

Use of hybrid storage systems based on batteries and super capacitors to support photovoltaic installations using weather forecasting algorithms.

The use of distributed generation systems requires compliance with certain requirements on the rate of energy that the distributed generation system discharges into the grid. This is especially problematic when using distributed generators based on photovoltaic generators, where the evolution of the clouds can generate areas of shade and consequently, it breaches ramp control regulations and frequency fluctuations. The proposal of the present project includes the design, control and verification of a hybrid storage system based on batteries and super capacitors for frequency control and ramp compliance. The control algorithm can be connected to the meterological TSK Group prediction systems, which will use local information from the set of panels to improve the probability of accuracy. The aim will be to reduce the use of diesel generators. The system will be validated to scale in the LEMUR laboratory.

Expert system for the management of geological-geotechnical risk throughout the life cycle of EPC projects

The resolution of all kinds of unforeseen geological-geotechnical problems represents a very important percentage of the economic-temporal deviations suffered by EPC projects. In this sense, one of the main problems is that there is no usual practice, guide or computer tool, which takes into account the specificity of the "soil risk", and its impact depending on the phase of the project or its typology. Based on the in-depth analysis of the geological-geotechnical information of the EPC projects executed by TSK and lessons learned, and through systems of KDD [Knowledge Discovery in Databases] and DM [Data Mining], an expert Geological-Geotechnical risk management System will be developed, that for the different phases and types of projects, will allow the different technicians involved to obtain a precise and specific evaluation of geotechnical risks, as well as the different actions to be implemented to mitigate or eliminate them.