Abstract
From the correlation curves of the monthly solar heating fraction (SHF) as a function of monthly solar load ratio (SLR) for six different passive systems, it is empirically demonstrated that the annual SHF is well correlated with January SHF; this correlation is essentially independent of the passive type but dependent on location (climate). It is then shown mathematically that this is equivalent to the following scaling relation: the monthly SHF as a function of the monthly SLR is the same for all passive systems up to a scale factor of SLR. This scale factor depends on the passive system and has important physical relevance. The approximate validity of this scaling law is discussed. The simplification of performance prediction resulting from such a scaling law, as well as from the correlation of annual versus January performances, is pointed out.
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