We present STARDUST, a new self-consistent modelling of the spectral energy
distributions (SEDs) of galaxies from far-UV to radio wavelengths. In orde
r to derive the SEDs in this broad spectral range, we first couple spectrop
hotometric and (closed-box) chemical evolutions to account for metallicity
effects on the spectra of synthetic stellar populations. We briefly compare
the UV/visible/near-IR colours and magnitudes predicted by our code with t
hose of other codes available in the literature and we find an overall agre
ement, in spite of differences in the stellar data. We then use a phenomeno
logical fit for the metal-dependent extinction curve and a simple geometric
distribution of the dust to compute the optical depth of galaxies and the
corresponding obscuration curve. This enables us to calculate the fraction
of stellar light reprocessed in the infrared range. In a final step, we def
ine a dust model with various components and we fix the weights of these co
mponents in order to reproduce the IRAS correlation of IR colours with tota
l IR luminosities. This allows us to compute far-IR SEDs that phenomenologi
cally mimic observed trends. We are able to predict the spectral evolution
of galaxies in a broad wavelength range, and we can reproduce the observed
SEDs of local spirals, starbursts, luminous infrared galaxies (LIRGs) and u
ltra luminous infrared galaxies (ULIRCs). This modelling is so far kept as
simple as possible and depends on a small number of free parameters, namely
the initial mass function (IMF), star formation rate (SFR) time scale, gas
density, and galaxy age, as well as on more refined assumptions on dust pr
operties and the presence (or absence) of gas inflows/outflows. However, th
ese SEDs will be subsequently implemented in a semi-analytic approach of ga
laxy formation, where most of the free parameters can be consistently compu
ted from more general assumptions for the physical processes ruling galaxy
formation and evolution.