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- Day-Ahead Forecast at 8:00 am for 72h starting at 12:00 pm
- Day-Ahead Forecast at 8:00 pm for 60h starting at 12:00 am
- Intraday Forecast for 8h updated hourly
- Region, Plant and Portfolio Forecasts und Extrapolations for Wind und PV in 15min
- Data Delivery as CSV, XML, XLS or EDI@Energy/MSCONS2.1Y Format
- 24/7 Operations at the enercast Data Centre Directly at the DECIX Internet Node
- Put Your Own Plants to the Test
Direct marketing of forecasts for wind- and solar electricity
Ideal trade with precise forecasts
If electricity from wind parks or photovoltaic plats should be sold at an optimal price in the electricity market, particularly precise forecasts are required. The better operators and traders can predict the electricity quantities that they will generate, the lower are the reserves that need to be facilitated. Furthermore, the expensive purchase of balance energy can be avoided in this manner.
The actual values, meaning the effectively produced amount of electricity of a photovoltaic plant, for example, are determined through a complex calculation procedure and provided in the online portal of enercast. The calculation procedure has been developed by the Fraunhofer Institute for wind energy and energy system technology (IWES).
Good forecasts are essential
In order to avoid vast expenses for the purchase of balance energy, and to also realize additional gains, enercast offers intraday-, day-ahead- and real-time forecasts* for electricity traders. The latter can then calculate at a precision of 15 minutes, and register the available volumes for direct sale.
The weekly forecast of enercast GmbH supports the trade with renewable energy, from wind and solar, over longer time periods, such as weekends, Easter- and Christmas holidays.
- Location specific intraday-, day-ahead- and real-time forecasts
- Unproblematic integration into existing IT-landscapes
- No installation of additional hard- or software
- No additional license fees
* (short-term forecasts)
New form of the direct marketing of renewable electricity: the market bonus model.
Since the 1st of January 2012, the legislator has introduced a new form of compensation for the operators of PV- or wind power plants. Ever since, the latter can decide to be compensated for the electricity via the renewable energy law (EEG) or to market the electricity himself. The market bonus model is one of three ways, to realize a bonus over EEG-compensation, for renewably generated electricity. The market bonus model covers for example the market bonus, itself, as well as a management bonus for solar- and wind electricity.
Neue Form der Direktvermarktung erneuerbaren Stroms: das Marktprämienmodell.
The central attribute of the electricity trade, in the day-ahead-marketing, is that the electricity quantities need to be communicated to the transmission grid operator and the FEX in Leipzig ahead of time– one day ahead. The quantities, in megawatt hours, must be accurate for each of the 24 hours- rounded to one digit after the comma.
In order to trade with fluctuating renewable energy at the exchange at all, one needs a forecast of these energy generators for the following days. Especially for improvements in the forecast quality for electricity trade, the legislator allows a significantly higher management bonus for the volatile energy sources, such as wind and solar, than for water power or biomass.
The less time is left to the moment of trade, the clearer becomes the exact knowledge interval. The forecasts at this point in time are very precise and enable additional purchases through the intraday trade (spot market). This optimizes trade further, as energy that is purchased through intraday trade is on average 20% cheaper than balance energy. If the wind is weaker than forecasted, the value can be adjusted in retrospect at the intraday trade. Here, it is possible to buy or sell electricity shares until 45 minutes before delivery start.
Green electricity privilege
The barriers for the green electricity privilege are becoming higher. The legislator provides, that the portfolio must contain at least 20% fluctuating energy sources, in eight out of twelve months and in the annual average.
Weather forecast is not sufficient
For the trade with electricity from wind or solar at the exchange, power forecasts that consider additional factors, are required. For example:
- What type of energy is transported by wind
- Dependence and Influence of humidity
- Clouding (Losses up to 30% possible)
- Geographical location