Semiphysical modelling is often interpreted as an application of syste
m identification where physical insight into the application is used t
o come up with suitable non-linear transformations of the raw measurem
ents so as to allow for a good model structure. This modelling procedu
re is less 'ambitious' than those used for traditional physical modell
ing in that no complete physical structure is sought, just suitable in
puts and outputs that can be subjected to more or less standard model
structures such as linear regressions. In this paper we discuss a semi
physical modelling procedure and various tools supporting it. These in
clude constructive algorithms originating from commutative and differe
ntial algebra as well as more informal tools such as the programming e
nvironment.