Energy
Solar Energy
gridS☼LAR - solar power forecast for PV-Ensembles: Based on p☼intSOLAR technology, power generation of PV-Ensembles is calculated in high temporal resolution. For grid operators and other commercial clients the gridS☼LAR power prognoses for PV-Ensembles have several major advantages: 1. Insider Knowledge for power exchange trading 2. Reduction of regulation energy cost 3. Minimization of black-out risks All 800.000 german PV generators have been integrated in the meteoblue weather forecast. Therefore it delivers prognoses that can be called by province, area or grid operator. gridS☼LAR-prognoses can now be tested for free!! Check out our Solar-Website for further information. |
|
| p☼intSOLAR - Solar Power Forecasting: The power generation of solar systems is determined by solar radiation. The high resolution of the meteoblue models allows a very exact parameterization of clouds and atmospheric water. Therefore, precise radiation forecasting is possible. Furthermore, meteoblue has developed the p☼intSOLAR-model that forecasts the power generation of individual solar systems. For grid operators and other commercial clients, the power generation of PV-Ensembles is calculated in high temporal resolution. Check out our Solar-Website for further information or the p☼intSOLAR system calculator to get free forecasts of the power production of your photovoltaic system for the next six days! |
|
| p☼intSOLARwatt - Production Site Analysis: Based on localised solar radiation forecast, assessments of production per year or per month are possible, using the archive data of meteoblue. With long time series of radiation data, average yearly sums of global radiation can be calculated for every location on earth. Thereby, meteoblue can advise you to finding the optimum position and design for a solar power plant, and calculate your expected year production. Check out our Solar-Website for further information. |
|
Wind Power
meteoblue forecast domains provide high resolution over large areas. Thus, our models resolve local wind systems, be they land-sea winds or topography controlled flow patterns. The models also pick up on and track fast moving frontal systems that are missed by other models. The correlation (r ²) of meteoblue wind forecasts with hourly observation data is of the order of 0.65 to the 0.80 for periods of one year. This top quality of forecasts is well suited for the forecast of wind energy generation in small and large scale. The forecasts can be obtained through our Forecast Data feeds. |
|
Hydro power forecasting
| The unique meteoblue high resolution forecast is an ideal base for the precise prediction of the river discharge, especially for a period of 3 to 6 days ahead. Factors such as topography and land cover influence the amounts of rain and the forecast of meteoblue models precisely these factors. With the meteoblue system of high-speed data extraction, precision precipitation forecasts can be quickly made for large areas anywhere in the world. The precipitation forecasts can directly be inserted in hydrological models. It is not necessary to make interpolations of the precipitation for an area from a selection of few weather stations. With meteoblue  archive data the distribution of precipitation amounts can be assessed over larger areas. |
|
Grid Management
| Weather does not only control energy demand that grid management has to cater for. The performance of power lines depends on wind, temperature, and humidity. meteoblue high resolution forecasts allow grid operators to plan for weather conditions along their power lines hour by hour, kilometer by kilometer. |
|
