Earth Notes: Grid-Tied Rooftop Solar PV Generation Stats via Sunny Beam

Updated 2021-08-28 16:49 GMT.
By Damon Hart-Davis.
High-frequency (per-minute) grid-tied generation stats for 16WW roof-mounted 5.16kWp solar PV. #PV #dataset
solar PV panels on roof
1-minute power generation logs via the Sunny Beam wireless receiver for the (now) four Sunny Boy PV grid-tie inverters of the solar system on the 16WW roof.

The Sunny Beam receives generation levels from the inverters in the loft by radio. The Sunny Beam is plugged into the Raspberry Pi USB to power it and poll for stats every minute.

Periods of zero generation (after an initial 0 sample) are not recorded to save space and energy.

See copies of the per-minute and per-day gathering scripts below. These use sunnybeamtool to talk to the SMA SunnyBeam plugged into the RPi server's USB:

The Raw 16WW Solar PV Intraday Generation Data (daily) goes back further, to 2009-09. It initially relied on manually downloading the data, so has gaps. Sometimes the tool reports data as corrupt and it is effectively lost. The SunnyBeam clock drifts and so the finer-grained data in the same files would need to be corrected for drift.

The PV went up in phases: the west facing part (1/4 of the final size) went up first (2008-02). Then twice that facing east (2009-02), then a final chunk doubling the size of the west-facing array (2010-04).

Eall
16WW Grid-tie PV daily generation since 2008.

Dataset

name
16WW 1-minute Sunny Beam PV grid-tie power generation
description
16WW grid-tied solar PV generation, by minute UTC; suburban domestic 5.16kWp microgeneration system, 50% east-facing, 50% west-facing, 23 degree slope roof, Kingston-upon-Thames, London, UK
version
1
keywords
solar, PV, grid-tie, generation, microgeneration, domestic
variableMeasured
power
date created
2014-07-21T10:13Z
date published
date modified
2021-10
temporal coverage
2014-07-21T10:13Z/..
spatial coverage
UK centre 51.406696N,-0.288789E elevation 16m
distribution
directory of 1-minute grid-tie generation data by day
canonical URL
this descriptive text with markup
is part of
16WW Dataset
licence
this dataset is licensed under CC0, ie it is effectively public domain; if you make use of this data, attribution is welcome but not obligatory
~481 words.