Abstract: A method for designing an energy system is provided. An abstract structure of the energy system is determined based on a pre-defined abstract model for each one of the plurality of components. Configuration(s) of a system sizing associated with the energy system are determined. Each of the configuration(s) of the system sizing is determined based on the abstract structure and a set of requirements associated with the abstract structure of the energy system. For each of the configuration(s) of the system sizing, a respective complex structure of the energy system is determined based on a pre-defined complex model for each of the components and the abstract structure, and a performance of the respective complex structure of the energy system is determined based on a set of requirements associated with the energy system. The energy system is designed based on respective performances determined for the configuration(s) of the system sizing.

Abstract: A method and device which operates to record and evaluate an output of electrical energy of a hybrid power plant, wherein, in accordance with time and/or load, at least one expected generable and usable energy contribution resulting from the utilization of renewable energy sources and one expected energy contribution resulting from the utilization of convention energy carriers are recorded with different tariffs.

Abstract: A method for predicting a performance of an electrical energy storage system includes receiving, as input, time series of data points pertaining to a plurality of operational parameters of the electrical energy storage system. The input time series is provided to a model that simulates dynamics of the electrical energy storage system. A plurality of performance indicators of the electrical energy storage system may be calculated based on the simulated dynamics of the electrical energy storage system.

Abstract: A method for predicting short-term cloud coverage includes a computer calculating an estimated cloud velocity field at a current time value based on sky images. The computer determines a segmented cloud model based on the sky images, a future sun location corresponding to a future time value, and sun pixel locations at the future time value based on the future sun location. Next, the computer applies a back-propagation algorithm to the sun pixel locations using the estimated cloud velocity field to yield propagated sun pixel locations corresponding to a previous time value. Then, the computer predicts cloud coverage for the future sun location based on the propagated sun pixel locations and the segmented cloud model.

Abstract: A method and device which operates to record and evaluate an output of electrical energy of a hybrid power plant, wherein, in accordance with time and/or load, at least one expected generable and usable energy contribution resulting from the utilization of renewable energy sources and one expected energy contribution resulting from the utilization of convention energy carriers are recorded with different tariffs.

Abstract: A short-term cloud forecasting system includes a cloud segmentation processor that receives image data from images captured by an all sky camera. The cloud segmentation processor calculates a probability for each pixel in an image that the pixel is representative of a cloud. A cloud motion estimation processor calculates a motion vector representing estimated cloud motion calculates weights representing the likelihood that the cloud motion will cause a cloud to occlude the sun at a time in the near future. An uncertainty processor calculates one or more uncertainty indexes that quantify the confidence that a cloud forecast is accurate. Combining the cloud probabilities, the global motion vector and the at least one uncertainty index, in a sun occlusion prediction processor produces a short-term cloud forecast based on the image data that may be used as input to control systems for controlling a power grid.

Abstract: A power balance-dependent operating parameter and a surroundings parameter of a first energy source, such as a renewable energy source, are provided. A variable target operating parameter for the first energy source is ascertained dependent on the detected surroundings parameter. The target operating parameter can characterize a first energy source state in which a maximally possible output would be generated under the current given conditions of the surroundings. The operating frequency is then controlled dependent on the detected power balance dependent operating parameter and the ascertained target operating parameter such that a deviation of the operating frequency from a specified frequency is coupled to a deviation of the detected power balance-dependent operating parameter from the ascertained target operating parameter.

Abstract: A short-term cloud forecasting system includes a cloud segmentation processor that receives image data from images captured by an all sky camera. The cloud segmentation processor calculates a probability for each pixel in an image that the pixel is representative of a cloud. A cloud motion estimation processor calculates a motion vector representing estimated cloud motion calculates weights representing the likelihood that the cloud motion will cause a cloud to occlude the sun at a time in the near future. An uncertainty processor calculates one or more uncertainty indexes that quantify the confidence that a cloud forecast is accurate. Combining the cloud probabilities, the global motion vector and the at least one uncertainty index, in a sun occlusion prediction processor produces a short-term cloud forecast based on the image data that may be used as input to control systems for controlling a power grid.

Abstract: A power balance-dependent operating parameter and a surroundings parameter of a first energy source, such as a renewable energy source, are provided. A variable target operating parameter for the first energy source is ascertained dependent on the detected surroundings parameter. The target operating parameter can characterize a first energy source state in which a maximally possible output would be generated under the current given conditions of the surroundings. The operating frequency is then controlled dependent on the detected power balance dependent operating parameter and the ascertained target operating parameter such that a deviation of the operating frequency from a specified frequency is coupled to a deviation of the detected power balance-dependent operating parameter from the ascertained target operating parameter.

Abstract: A method for predicting a performance of an electrical energy storage system includes receiving, as input, time series of data points pertaining to a plurality of operational parameters of the electrical energy storage system. The input time series is provided to a model that simulates dynamics of the electrical energy storage system. A plurality of performance indicators of the electrical energy storage system may be calculated based on the simulated dynamics of the electrical energy storage system.

Abstract: A method for predicting location of the sun in an image space. The method includes providing a set of calibration images and offline intrinsic calibration of a camera and optical element. An extrinsic parameter calibration is then performed based on the calibration images and mapping between local three dimensional coordinates and real world three dimensional coordinates to provide an extrinsic projection matrix. The method also includes providing a real time image of the sky and determining sun location in spherical space based on the extrinsic projection matrix and a real time sun location in the world coordinate system for the real time image. A three dimensional vector is then mapped to provide a corrected two dimensional ideal point. Next, an inverse affine transformation is performed to provide a two dimensional real image point in image space.

Abstract: A method for predicting short-term cloud coverage includes a computer calculating an estimated cloud velocity field at a current time value based on sky images. The computer determines a segmented cloud model based on the sky images, a future sun location corresponding to a future time value, and sun pixel locations at the future time value based on the future sun location. Next, the computer applies a back-propagation algorithm to the sun pixel locations using the estimated cloud velocity field to yield propagated sun pixel locations corresponding to a previous time value. Then, the computer predicts cloud coverage for the future sun location based on the propagated sun pixel locations and the segmented cloud model.