OST graduates predict solar yield
Two graduates of the OST - Ostschweizer Fachhochschule have developed an innovative tool that provides precise energy forecasts for photovoltaic systems and increases the efficiency of the systems.
Two graduates of the CAS Energy Digital at the OST – Eastern Switzerland University of Applied Sciences have developed a new tool that can accurately predict the energy yields of photovoltaic (PV) systems. In addition, the data from the systems can be easily and intuitively managed and clearly visualized, according to a press release from OST. This would enable both companies and private individuals to increase the efficiency and profitability of their systems.
One of the two, Lukas Loser, is quoted as saying that it is “extremely important” for energy suppliers in particular to know when which system is producing how much. This has an influence on the use of power plants and electricity schedules, among other things. This knowledge therefore serves to ensure grid stability and as an important basis for trading activities. “The more accurately you can forecast the portfolio of a PV system, the more optimally the aforementioned processes can be carried out. A good forecast therefore helps both electricity producers and end customers financially.”
The same applies to private individuals, adds Dimitri Gysin. He developed this tool together with Loser as part of a project. “Precise forecasts can be used to plan the use of appliances with increased energy consumption or to charge an electric car when a lot of energy is available.”
Both see room for improvement in the accuracy and variety of the meteorological data used. According to the OST, it is quite possible that the forecasting tool will soon be further developed by other students as part of a Bachelor’s or Master’s thesis.