Abstract
Electricity production from renewable energy sources (RES) is characterized by its distributed nature, massiveness, and vast divergence of the production facilities. Such facilities require close monitoring for fault management, yield tuning, maintenance scheduling and production reporting. Renewable energy data management platforms have evolved, from simple data repositories, into complex, IoT-based, asset management and online analytics platforms. This evolution continues, as new assets -such as distributed storage- are integrated in the grid, and is accompanied by an explosion in the data size and sampling rate of the data recorded in the field. In this paper, we present INACCESS’s state-of-art UNITY RES asset management and performance assessment platform and we discuss next generation platform evolutions, as proposed by the MORE H2020 research project. We focus on the challenges presented by the need for massive ingestion of data, from thousands of dispersed production facilities, encompassing hundreds of thousands of assets, generating tens of millions of data points per second! We propose data compression at the edge as a potential solution for the efficient data transmission and ingestion of RES data in the cloud.