Flux measurements at the CNRS big solar furnace in Odeillo with heliostat scan (L4 data)

Flux measurements at the big solar furnace in Odeillo.

Data levels description:

• Level 0 data: raw datasets from the different acquisition systems (cameras, radiometers, motion controllers…).
• Level 1 data: area of interest extracted from flux camera images and converted as HDF file (grayscale).
• Level 2 data: All data synchronised, converted and supersampled at millisecond resolution in HDF files: DNI, radiometer, heliostat aiming location from ARGOS camera, image maps at focal plane on the receiver in suns normalised for DNI 1000 W/m2.
• Level 3 data: data interpolated and smoothed for regular heliostat aiming positions.
• => Level 4 data: idem, but spatially subsampled at various resolutions. Provided here: 10mm resolution.

One HDF file per heliostat.

Heliostats chosen randomly among the 26 available.

HDF file are compressed in zstandard. In python 3, requires the packages: pandas, hdf5plugin, tables, h5py, blosc, zstd.

For each heliostat : the aiming position of the heliostats was moved in S patterns.

Data from experiment started 2021-12-22 120618 GMT.

Data processing completed 2022-03-02 1459 GMT.

References:

• Related to SolarPaces 2022 communication: Building a 5D Database of Heliostats Flux Distributions: toward High Flexibility High Accuracy Flux Control for Odeillo's Big Solar Furnace 
• Solar furnace description and more: https://doi.org/10.1063/1.5067052
• Cameras settings description and more: https://doi.org/10.1063/1.5067202