  Nanoflares have been proposed as the main source of heating of the solar
corona. However, detecting them directly has so far proved elusive, and
extrapolating to them from the properties of larger brightenings gives
unreliable estimates of the power-law exponent $\alpha$ characterising their
distribution. Here we take the approach of statistically modelling light curves
representative of the quiet Sun as seen in EUV radiation. The basic assumption
is that all quiet-Sun EUV emission is due to micro- and nanoflares, whose
radiative energies display a power-law distribution. Radiance values in the
quiet Sun follow a lognormal distribution. This is irrespective of whether the
distribution is made over a spatial scan or over a time series. We show that
these distributions can be reproduced by our simple model.
