SANDY Forecast Service: Photovoltaic Production Forecast without Explicit Measurements

Knowing what to expect completely without integrated measurement

The economic efficiency of Photovoltaic systems is significantly determined by the amount of the self-consumption. It can be actively increased when power consumers or battery storages are incorporated. But how can the increase of the self-consumption be planned without knowing when the Photovoltaic system will delivery a sufficient amount of power?

The SANDY “Photovoltaic Production Forecast without integrated measurement” makes it possible to predict the quarter hourly yield of a Photovoltaic system without integrated production counter! to be expected up to the end of the following day. This forecast incorporates production data from comparable systems and the local weather forecast. The economic potential of self-produced energy is thereby fully exhausted.

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Your Benefit
By integrating the intelligent and innovative Photovoltaic Production Forecast, you are making your product more attractive. Because if the Photovoltaic production to be expected is known, the when and how energy will be utilized can be planned better. This helps to optimize the economic efficiency of the system, for example by increasing the self-consumption rate in your service to manage consumers or battery storages or for information about when which energy quantities can be produced and marketed or fed into the network. The SANDY “Photovoltaic Production Prognosis without integrated measurement” also provides yield prognoses for systems without internal production counter.

 

System-specific characteristics, such as South orientation, roof pitch, location and maximum output are taken into account in the prognosis model. In addition to private users, business operations or network operators, the SANDY “Photovoltaic Production Forecast” can also be used for large open areas to optimize energy commercialization.

 

Application example private household

If the Photovoltaic system produces more power than can be self-consumed at present, it either throttled in the output or the excess power is fed into the public network at a low price. Vice versa, any required power due to a lack of solar irradiation must be procured from the network at a high cost. If it is known in advance when a high Photovoltaic production is to be expected, the use of specific power consumers can be specifically scheduled during those times. For example, the use of a washer or dryer, charging an electric car or heating up the hot water tank.
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A soultion with many capabilities

If your customer is able to measure the Photovoltaic production in regular intervals, we recommend the use of the smart meter based “Photovoltaic Production Forecast” instead. A customer-specific connection is possible upon request.

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Target Goup
› Smart Home providers
› Energy management system developers
› Power brokers
› Manufacturers of battery storage systems
› Providers of solutions surrounding photovoltaics
› App and application developers
› Network operators
› Providers of eMobility solutions
Added values for your customers
› Increased economic efficiency of Photovoltaic systems
› Increased transparency
› better predictability
Added values for your company
› intelligent and innovative enhancements for your products
› Increase of customer satisfaction because your customer is saving money and energy
› quick and easy integration
› scaling with growing customer base
› all of the benefits of “Software as a Service”, for instance high availability, automatic updates, no maintenance expense
› no transmission of customer data necessary
› better predictability
Technical Details
› Cloud service
› Communication via state-of-the-art RESTful API

› Input:
– Customer’s postal code
– South orientation, roof pitch and maximum Output

› Output:
– Production prognosis up to the end of the following day in 15 minute intervals

› Security:
– encrypted data transmission via HTTPS
– authorization via individual API key
– reliable operation in the Microsoft Azure Cloud

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