Knowing the signs of climate change is essential to create prediction models and generate prevention policies for the disasters it can cause. Therefore, an investigation carried out by the department of URJC Signal and Communications Theory (Spain) have developed a clustering algorithm (grouping of nodes) called SODCC (Second-Order Data-Coupled Clustering) that helps analyze climate data to search for new signs and evidence of climate change.
With this information it is intended plan and improve wind farms, increasing the performance of energy generation and avoiding, in turn, a greater amount of greenhouse gas emissions that contribute to climate change.
New tool
It is a tool designed for use in massive sensor networks. The data recorded in the meteorological stations around the world can be connected to each other and exchange the variables and parameters recorded from the phenomena that have occurred during tens of years that they have been installed.
Thanks to the data that these infrastructures have collected over decades, the research group has been able to carry out the analysis of the temperature data of the Iberian Peninsula from 1940. Among the data recorded and analyzed, a change has been detected in the spatio-temporal patterns of the environmental temperatures of the areas, which points to a possible sign of climate change.
Improve wind farms
Once the data have been obtained and analyzed, they have been contrasted in order to know the relationship that these changes in temperature patterns have with the generation of wind power. If you can predict the winds to be done more accurately and where it will blow the most, we can facilitate and increase the performance of wind farm planning.
This investigation forms part of the OMEGA-CM Project, funded by the Department of Education of the Community of Madrid. The research group, led by Doctors Antonio Caamaño and Sancho Salcedo-Sanz, is made up of researchers from three universities: Universidad Rey Juan Carlos, Universidad de Alcalá and Universidad Politécnica de Madrid.