We investigate the computational complexity of scheduling problems, wh
ere the operations consume certain amounts of renewable resources whic
h are available in time-dependent quantities. In particular, we consid
er unit-time open shop problems and unit-time scheduling problems with
identical parallel processors. For the case where the number of machi
nes, the number of resources and the demand for every resource are all
bounded by a constant, we derive polynomial time results for several
objective functions. Furthermore, we establish a borderline between ha
rd and easy variants of such problems by proving NP-hardness of most r
emaining cases.