Accelerating the green energy transition
+380 (66) 508-07-64On today`s meeting, NERC decided to establish a green tariff for the second stage of the solar photovoltaic station Rykhta, built by our company in the autumn of 2018. All legal issues related to the adjustment of the electricity producer’s license and FIT obtaining were maintained by Avenston specialists without the involvement of external consultants. All work was done on time and in accordance with the plans agreed by the client.
The solar photovoltaic station “Rykhta” was built in two stages during 2018 near the city of Kamenets-Podolsky in Khmelnytsky region. The solar power plant covers an area of about 5 hectares, and the total capacity of installed solar panels (photovoltaic modules) is 2.178 MW. The project uses Tier-1 solar panels and string inverters.
Useful articles:
Floating Solar Panels Market
Solar power is one of the fastest growing renewable energy technology owing to the ease in system installation as well as abundant sunlight across the globe. Advantages related to the installation of floating panels as compared to conventional plants are expected to drive growth.
RES implementation: standalone and grid solutions
Over the last decade, the development of renewable energy sources (RES) has been at a pace that outstrips any other energy sources. Today, RES has reached a certain level of maturity and greater financial attractiveness than traditional technology.
Energy Transit: New Challenges for Grid Operators
The achieved level of development of renewable energy technologies and the degree of their penetration into the market due to lowering the cost of RES generation already has a significant impact on the energy infrastructure.
Solar forecasting in Ukraine
Weather systems result in strong variability in the available solar radiation across the day. This means that solar plant power output is impacted, with strong changes in energy generation across the day. As Ukraine adds more solar energy to its electricity grid, it is becoming important to predict these changes in energy generation from hours to days ahead.