Hub Sessions

In this introductory presentation our session Chairperson will introduce the topic of the session – “Showcasing the future of digital renewables” - by presenting SolarPower Europe’s new report, being launched at the event, on the state of play in digital solar. The report will look at new and improved digital solar business models, digital grid integration and more. Copies of the report will be available at the event. SMA Solar Technology is leading the SolarPower Europe Digitalisation Task Force. Detlef Beister is Business Development Manager at SMA Solar Technology.

Providing information on real-time energy usage and waste levels to tenants is a key tool to help them see and reduce their own environmental footprint.

Only renewable energy sources mean green e-Mobility. So the question lies at hand – How to benefit from digitally enhanced renewable energy in such an important applications field, like e-Mobility. The presentation will give an overview about actual challenges and possibilities with Renewable for the e-Mobility infrastructure. Who are the stakeholders and which are the business cases in this new market? What are possible e-Mobility services and how does the system architecture look like. And what is the impact of charging infrastructure on Utilities and energy grid? Expect an Outlook and midterm forecast and a glimpse on E-Mobility Radar. 

With the ever growing data intensity and data diversity, the Smart Grid requires a rethink of the structure and operational suppleness of its infrastructure and its systems. Instead of collecting data to make long-range plans looking backward. Create a system that is active, dynamic, and secure, with the ability to intelligently react to the distributed resources of micro-grids and two-way power flows using context in real time. We don’t need more data but the right data at the right time.

Accurate data on the installed capacity and location of distributed energy is essential for utility companies to operate and innovate in the changing energy landscape. But data that meets ideal requirements for accuracy and granularity is often difficult to accumulate or inaccessible due to the drawbacks in incumbent data collection methods. Sobolt found the answer to the drawbacks in current data collection methods through the technological revolutions in satellite imagery and artificial intelligence. Using high-resolution satellite imagery and a unique imagery analysis framework that combines spectral imaging, machine learning algorithms and statistical methods, Sobolt developed a scalable solution to provide accurate data on the location and capacity of existing solar PV installations.