For the second consecutive year Nnergix has attended INTERSOLAR EUROPE in Munich, where the most important players within the solar sector introduced new products, services and where we could check out the latest trends in this amazing field. INTERSOLAR EUROPE 2016 was attended by more than 44,000 visitors, once again becoming the most important solar event in Europe. Nnergix’s booth was located at Hall3 as a PV services company. We got the chance to meet and talk with a lot of different companies, from diverse countries and with many different needs, all of them looking for energy forecasting solutions to match.
Among all the different demands we received during the event, solar energy forecasting for residential and off-grid systems was the most popular and groundbreaking. For a long time, Nnergix has been aware of the strong connection between accurate forecasting solutions and smart management for residential and off-grid systems, but it wasn’t until INTERSOLAR when it became a fact.
Off-grid PV-battery systems, electric car chargers connected with PV-battery residential systems, micro-grid PV-diesel systems or wind-solar-battery systems both off-grid or connected to micro-grid are different facilities that are starting to demand accurate and reliable energy forecasting services to make the most of the renewable resources and achieve the smartest usability. All of these assets used to include some kind of software to manage energy consumption, storage, diesel consumption or energy retrieving from the grid, taking into account demand and load. Ultimately, more and more companies are realising that energy forecasting should be included as an input for this software, improving the performance of the facility by taking into account the energy that will be produced over the following hours and days.
A new age is booming; renewables are seeing unstoppable growth worldwide in both residential and industrial facilities, and its optimal management is a must to make the most of the energetic resources available. The software designed to make that possible has to include energy forecasting as an essential input, along with load curves or storage capacity.