Description
The rational use of the energy is a key aspect for governments, companies, and individuals all around the world due to social, economic, and environmental reasons. The smart meters that conform the smart grids generate an enormous amount of data that has to be stored and processed as fast as possible but also securely and cost-effectively, which is now achievable by means of recently developed big data and cloud computing techniques. The main goal of the ENERLOUD project is to build a platform for the storage, process and analysis of large amounts of data from smart grid sources using big data and cloud computing techniques for the identification and avoidance of unnecessary energy waste. ENERLOUD focuses on creating an innovative platform for the development of a new generation of Smart Grid solutions and services for the integration, management, analysis and diagnosis of energy grid infrastructures, ultimately providing a relevant contribution to green energy and technology through IT solutions.
Summary of project results
The main outcome of the ENERLOUD project is the development of an interoperability system to optimize the energy consumption within a house, which fulfills the most important goal established for the project. The system integrates information from heterogenous sources, such as in-home sensors, open data or advanced metering system of the distribution network, to be able to store, consolidate and process the information to perform a set of recommendations in order to help the inhabitants of the house to consume the energy in a more efficient manner. This reduces the carbon dioxide footprint, optimizes the network system and producse savings and better quality of life to the final consumers and society.
Summary of bilateral results