Carrying out projects aimed at optimizing the process, highlighting the following sublines of work:
Evaluation and development of processes aimed at obtaining gaseous streams with energy interest from biomass of different origin.
Research focused on the application and uses of gases with energy potential: biogas, syngas, methane, hydrogen.
Development of advanced data analysis projects in the field of the implementation of energy efficiency measures for their use in the deployment of expert systems based on massive data processing techniques (using sensors at consumption points and significant variables), to improving energy efficiency in all industrial sectors.
Through the use of disruptive technologies such as Big Data, Machine Learning, Deep Learning, mechatronic sensors and actuators or the Virtual Twin, we develop predictive mathematical models, adapt energy-consuming systems to their optimal operating point, reduce the gap between forecasted and actual consumption based on the use of statistical models, searches for correlations between energy and production parameters, identifies inefficiencies, prescribes actions to correct them and improves the energy efficiency of industrial equipment and processes.
Development of projects focused on the mitigation of climate change through the application of Artificial Intelligence, Machine Learning and Deep Learning, for the extraction and use of useful information from DB (satellite, government, meteorological, etc…), for the generation of predictive models, development of specific software tools and process optimization in the following areas:
Study, analysis and development of technical solutions for the recovery of medium and low temperature heat in new facilities and existing processes, either for direct thermal use (plate exchangers, heat pump) or for renewable energy generation (Rankine cycle Organic – ORC, Peltier, Stirling engine, …).
Characterization of the existing energy potential through field measurements and laboratory tests, energy parameterization and modeling, energy simulation of thermal processes, design of energy recovery systems and verification of energy savings.
Application to the optimization of heat recovery in specific systems such as industrial cogenerations (improvement of equivalent electrical performance), mechanical compression equipment (refrigeration systems and air compressors), heat recovery from evaporative condensers, industrial ovens and other intensive thermal processes.
Development of comprehensive strategies (building, facilities, renewable energy, management systems) for the decarbonization of cities and the achievement of PEB buildings, that is, buildings that produce more energy than they consume, thanks to sustainable construction and generating systems of clean energy. The main lines of research are:
EnergyLab’s main lines of research in the environment of energy communities focus on the development of:
Improvement of the energy performance of air conditioning and DHW production equipment based on electrically driven heat pump technology, through the following lines of work:
Use and improvement in the management of renewable energy generation sources through their transformation and conservation for subsequent use in air conditioning systems: