Automation for the calculation of the Green Power Certificates (GPC)

Processing data for the application of the GPC

Parkwind builds and operates offshore wind farms. In addition to electricity, these windmills also generate a constant stream of data. This data stream can deviate due to various causes. For example, a broken sensor, or maintenance work or simply a counter that has reached its maximum and jumps back to zero.

Until recently, Parkwind used standard software to process the data for the application of Green Power Certificates (GPC). Loading the data, correcting anomalies, and start processing took their engineers quite a bit of time each month. Moreover, those actions were also very susceptible to human error.

Process data streams efficiently

Cleaning and processing the data stream taking into account all possible deviations and exceptions giving the engineers a noticeable time saving. In other words: efficient data processing.

Automation delivers significant time savings

Initially, AI was considered to work with. But after further analysis with the engineers, it turned out that the anomalies were easily identifiable. AI only makes sense when the logic between input and output is not clear. It also requires a huge amount of historical data for the model to 'learn'. Therefore, we decided to do things differently. First, we defined all possible deviating scenarios. Subsequently, we built custom software that knew what to do in case of any deviations. As a result, the Green Power Certificates are automatically requested to the government.

Ultimately, this automation saves Parkwind 2 to 3 days of manual and repetitive work every month. The GPCs are approved faster because human error is excluded. The engineers are happy to be relieved of this monotonous task while maintaining control.

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