It is easy. It is smart.
It is Solar Ecosystem.

GEF Vision™ Ecosystem

The share of decentralized solar power in Finland's electricity production is constantly increasing. The production of solar energy depends, however, on the prevailing meteorological conditions, which can result in a considerable variation in production power, even within one second. When production is focused regionally by the number of inhabitants, local weather variances can cause significant local and national changes in the total solar power output. The predictability of the production of small and medium-sized locations can also be considered a challenge for decentralized photovoltaic production. In large, megawatt-level sites, utilization of production forecasts is a common practise, but when it comes to small locations, utilization forecasts are challenging. Tens of decentralized production megawatts are, however, installed every year, with small and medium-sized power plants forming the majority of the installed capacity. Electric companies have information on installed capacity, but not on factors affecting the power plant's production, such as installation angles and potential shading of the power plant. The impact of mounting angles and shadows on the power plant's production, and especially its timing, is really significant. To predict the production of a power plant reliably, the production forecast must be made per power plant. These production forecasts can be aggregated regionally, allowing regional or even country-wide production forecasts to be formed.

From the power grid point of view, the status of the location network interface has a larger significance than production forecasting. Solar power's profitability is at its highest when the energy produced is consumed at the same site. This, in turn, results in optimization of consumption by directing it to solar production hours. At the location network interface, this can be seen, depending on the situation, either as a result of increased consumption or a decrease in production sold to the network. As a result, the role of consumption forecasting also increases.

By combining consumption control and production forecasting, one can create a forecast model for the location network interface. The inaccuracies of the forecasting model can be affected either by reducing production or by controlling consumption as needed. By integrating battery storage, the inaccuracy of the forecasting model can almost be eliminated.

GreenEnergy Finland Oy has developed a secure, real-time GEF Vision™ Ecosystem for the collection of production data and forwarding consumption control commands to target properties. In addition, the GEF Vision™ platform includes a production forecast based on machine learning and weather forecasts, which allows you to create hourly production forecasts for the next 24 hours.

The aim of the GEF Vision™ Ecosystem is to enable the self-sufficiency of decentralized energy production and the commercial exploitation of energy storage and decentralized production surpluses. All activities will however develop on the terms and in the interest of the end customer.

Contact us and join the users of future solutions already today!

 

Electric vehicles and GEF Vision™ Ecosystem

Due to the increasing number of electric vehicles, the load and dynamics of the power grid will change significantly. Uncertainty in the renewable energy production can limit peak power output and vehicle charging services. In addition, the present electricity grid will not be able to respond to the new dynamic grid challenges when fossil traffic is replaced by electronic means. With intelligent electricity grids and decentralized ecosystems, energy stores can respond to high power consumption peaks, especially caused by increased charging services for electric vehicles. Charging of electric vehicles poses challenges, but at the same time they offer solutions to the challenges. Electric vehicle batteries are a significant energy resource for exploitation, most of the time the cars are not in use.

Thus, with the increasing electric vehicles, their battery capacity being steered also partly for the use of flexible markets is an interesting option and opportunity. In the flexible market, significant capacity gains can be achieved from the point of view of the flexibility of the electricity market, in particular by discharging batteries to the grid with a so-called vehicle-to-grid (V2G) functionality and real estate battery packs and their sharing.

So how does one charge an electric car quickly?

The typical household property features a 3 x 25 A power supply, which provides a power output of about 17 kW. In practice, the available single phase power rating of 16 A is about 3.7 kW, which means, for example, for a Nissan Leaf (40 kWh battery) about 11 h of continuous charging. It cannot be considered quick, but if the property has a separate energy battery, for example 15 kWh and DC 15 kW, it fills half of the battery's capacity in half an hour and in just over two hours the battery is almost full. The GEF Vision™ Ecosystem also expands modularly to larger system sizes, allowing even faster charging.


 Toward new services - what can be expected?

An intelligent power grid ecosystem can utilize the energy stock of property and electric vehicles also in the various reserves of the electricity market, for example in the supply chain. Charging the vehicle's battery from a network or a property battery, or discharging it into a property bundle or a power grid, is matched with the current status of the power system. As the energy production volatility increases, the minimum and maximum hourly rates can be utilized through the ecosystem. Increasing volatility creates opportunities by charging when hourly rates are low, and discharging when they are high. This supports the stability of the power system, particularly during the variations in renewable energy, wind and solar power, and generates additional returns to the property's ecosystem owner.

 

The GEF Vision™ Ecosystem integrates the property's own energy storage and electric vehicle into an entity, where fast charging services are possible. In addition, it enables the introduction of ancillary services (eg demand flexibility) in the property.

 

Picture 1. Artist Jouni Hynynen gets acquainted with the GEF Vision™ Ecosystem in the attached video . (in finnish)

How do I benefit from the GEF Vision™ Ecosystem?

Contact our sales team for a possibility to join our group of pilot customers in shaping the energy market and creating new commercial services and earning models.