Fraunhofer Institute for Solar Energy Systems ISEThe goal of the project is the provision of algorithms to generate intra-day and day-ahead forecasts of PV power generation optimized for the specific PV system and its location. The algorithms to be developed are supposed to increase the economic efficiency of decentralized energy management systems with respect to one or several specified variables, such as the maximization of internal consumption, prevention of curtailment, grid usefulness, peak load reserve or storage design. | Duration: September 2016 - December 2019
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Solar radiation forecasts (red) with uncertainty (gray) compared with measurements of solar radiation (blue). The graph shows a low forecast uncertainty on days with clear skies and a high forecast uncertainty on days with varying cloud formation. Data basis: Forecasts based on numerical weather predictions for the next day.
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Schematic representation of the work packages in the »DeepTrack« project.
How should PV trackers optimally track? This question is being researched in the project »DeepTrack« together with PV Zimmermann Tracker GmbH. In DeepTrack, the latest AI and power plant simulation methods are applied to maximize the yield of complex power plants, such as Agri-PV power plants. The methods are implemented and investigated in a pilot plant at the solar test field in Merdingen. | Duration: 03/2023 - 02/2025
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Left: grid planned according to conventional principles with many voltage band violations (blue dots). Right Planning the same grid with time series leads to significantly fewer predicted voltage band violations.
The energy, transport and heating transition represents a considerable challenge for the electricity grids. According to current planning guidelines, the increased use of heat pumps and electric vehicles would require a massive expansion of the distribution grids. This would result in high costs and could slow down the transition to a CO2-neutral society. Grid operation platforms can use smart metering systems (iMSys) and control boxes to record grid conditions and reduce grid loads through targeted control interventions, incentivized by variable grid charges. If the grid load can be reduced through targeted incentives, this must be taken into account in grid planning in order to minimize grid expansion. | Duration: 01/2025 - 12/2028
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FARO®Trek 3D Laser Scanning Integration with FARO® Focuss Laser Scanner in combination with the Boston Dynamics Spot® Mobile Robot allows automated measurement of even complicated terrains. Testing of the application is planned in the HelioSense research project.
Project in the Business Area: Solar Thermal Power Plants and Industrial Processes, Photovoltaic Topics: Concentrating Solar Collectors, Solar Thermal Power Plants, Photovoltaic Modules and Power Plants Field of Work: Forecasting of Solar Irradiance and Power Duration: 02/2021 - 07/2023
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In-house developed measuring stations with pyranometer and silicon reference cells of different orientations are employed to send measurements every minute.
Project in the Business Area Photovoltaics; Power Electronics, Grids and Smart Systems; Topic: Photovoltaic Modules and Power Plants; System Integration - Electricity, Heat, Gas; Fields of Work: Photovoltaic Power Plants; Forecasting of Solar Irradiance and Power; Duration: September 2016 - Dezember 2019
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Project in the Business area: Photovoltaics, Photovoltaic Modules and Power Plants, Silicon Photovoltaics, Topic: Module Technology, Service Life and Failure Analysis, Forecasting of Solar Irradiance and Power, Duration: 04/2018 - 03/2021
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Guidelines and recommendations ("best practices") are published in the IEA PVPS Best practices Handbook.
Project in the Business Area: Photovoltaics, Photovoltaic Modules and Power Plants; Topic: Forecasting of Solar Irradiance and Power; Duration: 05/2019 - 10/2023
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Classification of fog and low stratus cloud cover (blue) and snow (white) with newly developed methods based on the satellite image of 22.01.2022, 11:00 UTC.
Business Area: Photovoltaics; Research Topic: Photovoltaic Modules and Power Plants; Field of Work: Forecasting of Solar Irradiance and Power; Duration: 01/2021 - 03/2024
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Vehicle mounted mobile solar irradiance sensor.
An international public-private consortium will address how solar-powered vehicles can support the transition to an all-electric transport system in the EU. The group named SolarMoves includes TNO (The Netherlands Organization for Applied Scientific Research), Fraunhofer Institute for Solar Energy Systems, and the on-board solar technology system suppliers Lightyear, Sono Motors, and IM Efficiency. This pilot project comes at the behest of the European Commission's Directorate-General for Mobility and Transport (DG MOVE) to explore the potential of solar-powered vehicles and its impact on the electrical recharging infrastructure policy and regulations in Europe in the coming years. | Duration: 01/2024 - 12/2026
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Logo of TwInSolar project
Business Area: Photovoltaics; Research Topic: Photovoltaic Modules and Power Plants; Field of Work: Forecasting of Solar Irradiance and Power; Duration: 09/2022 - 11/2025
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