We are committed to a balanced energy mix and efficient management of fossil fuels and of renewable resources in which zero-emission generation technologies (renewable and hydropower generation) and low-emission technologies (combined cycle and cogeneration) represent a significant volume of the total installed capacity.
The initiatives the company is developing in this area focus on two primary areas: on the one hand, monitoring the state of the assets, through measurement, smart models and data processing to improve monitoring and diagnosis of the plants and, on the other, to maintain and optimise the performance of the facilities through the implementation or testing of improvements.
The company is committed to implementing new technologies, both in areas of environmental control and in establishing mobilitysystems and remote monitoring, as well as to improvingthe performance of the hydropower facilities.
The company promotes initiatives that cover the automated and smart management of environmental information, energy efficiency and, in short, the development of photovoltaic technology.
The innovation activities in the area of storage focus on an even greater increase in the quality and reliability of the supply, developing joint solutions with the customers and permitting greater and easier integration in the electricity gridof renewable resources.
The company, in its commitment to minimising the impact of the industrialactivity where it operates, is conducting different technological developments at its facilities. Work also continues on improving efficiency at its coal and combinedcycle plants, adopting solutions that lengthen the useful life if its facilities.
The Renewable Environmental Information System (SIAR) centralises the environmental information existing at the renewable facilities, accessible in real time and available for consulting and analysing results or trends.
Sensorisation and development of informationprocessing tools to extend the useful and structural life of wind farms based on a technology for measuring vibrations and other parameters that use fibre optics.
Renewable-Storage HybridsImplementation of a managementsystem for the power generated at a wind farm for a pilot that hybrids storage with generation and complements the capabilities of a conventional plant with new capabilities.
Monitoring Loads in Wind Turbines (2017-2018)Development of a platform to monitor displacements at the base of the wind turbine and the relative variation of loads in different operating modes, to determine the suitability of a change in its configuration.
LORA Wind Turbine Sensorisation with TechnologyLow-cost platform that enables previously configured equipment to issue alarms with departing from certain conditions of a safe profile, improving oversight on the status of the wind turbine components.
Photovoltaic power plant
Big Data / IoT in Cogeneration and Photovoltaic PlantsImplementation of a dataacquisition and management service for the PLCs of the Cogeneration and Photovoltaic plants. The purpose is to automate the processes and conduct predictive maintenance based on the information gathered.
Thermal optimisation of photovoltaic power plants (2016-2017)Optimisation of the performance of photovoltaic panels using passive cooling. This project introduces the weather variable, as it has a direct effect on cooling the panels and is useful when bidding on energy on the markets.
Photovoltaic Solar Laboratory (Durango, Mexico) (2017-2018)This laboratory evaluates the most relevant operating and maintenanceparameters of the solar panels on the global market. It offers new sustainable solutions and strengthens the Group on the new energy markets.
Hydroelectric Integrated CC
The HydroelectricIntegrated Control Centre (ICC) uses the most advanced technologies to provide centralised management and remote supervision of 51 hydropower plants and 23 major dams owned by the company in Spain.
Development of an independent system of watersampleanalysis from the reservoirs, sending the results remotely. Analysis by an expert system makes it possible to model the behaviour of the reservoir and to predict environmental events.
CBM Besesar and Bolarque Reservoirs
Application of a methodology that can reduce the workload and maintenance cost, replacing preventive maintenancetasks with predictive in equipment in which it is technically and economically feasible.
Batteries for Renewable HybridisationImplementation of a storage system with batteries at the La Vega I & II wind farms in Zamora to test its functioning under real conditions and explore its real possibilities to improvemanagement at this type and in similar plants.
Optimisation of combustion with lasers (2017)
This is a novel system for the Optimisation of Combustion based on Laser Technology that helps reduceNOxemissions at the Meirama Thermal Power Plant. It can also increase performance, as well as lengthen the useful life of the boiler.
Neural networks (2017-2018)
The project is taking place at the La Robla Thermal Power Plant, and it focuses on the installation of an expert system, based on neural networks that are used to reduce the NOx values from combustion.