11 managing data and saving data locally, 1 reading out and saving data from sunny beam, Managing data and saving data locally – SMA Sunny Data Control V.5.0 User Manual
Page 67: Reading out and saving data from sunny beam

Managing Data and Saving Data Locally
SMA Technologie AG
Technical Description
SDC-TEN081450
69
11 Managing Data and Saving Data Locally
With Sunny Data Control, plant data can be saved in Excel and/or CSV formats. The following
sections describe the storage of data in Excel format and in CSV format. If an inverter is connected
directly to the PC, the data can only be saved as CSV data (SUO format, SMA-Sunny Online). See
chapter 11. 4 "Direct Data Acquisition from an Inverter" (Page 77).
11. 1 Reading Out and Saving Data from Sunny Beam
In order to display the essential key data of a PV system, Sunny Beam has been developed as a
cordless tabletop device. Initially, there were no plans for the archiving of data. Thus, as indicated
below, the subsequent built-in possibility to record data using Sunny Data Control and Sunny Portal
is limited.
Data Archiving with Sunny Data Control
With the Sunny Beam, the data gathered from the entire plant during one month can be archived,
but not data from the individual inverters. As the values are only stored in Sunny Beam for one
month, you must read out the data with Sunny Data Control once a month.
Furthermore, Sunny Beam only saves the daily power output (Pac) for the present day. Once a new
day begins, the previous day's Pac data is erased. Thus, Pac data must be read out every evening.
Archiving Data with Sunny Portal
With Sunny Data Control, the above-mentioned data can be transferred over to the Sunny Portal.
Because the E-total value can not be recorded using Sunny Beam, the use of this data with Sunny
Portal is restricted. Nevertheless, this is indispensable for some views using Sunny Portal. For this
reason, it only makes sense to graphically present Sunny Portal's daily energy values (E-day), the
avoided CO2 emissions and the yield (EUR) as a monthly overview.
The visualization of the daily output (Pac) is possible. Nevertheless, as already mentioned above,
the data must be read out nightly.
Data
Interval
E-day:
read out once a month
Yield (EUR):
read out once a month
CO2 avoided:
read out once a month
Data
Interval
Pac:
read out every evening
(limited utilizability)