The
search for the design of sustainable systems for the production
of chemicals and utilities based on renewable sources has been recently
considered with special interest. In this work, a methodology for
the design of flexible renewable-based utility plants is presented.
The methodology is based on the formulation of a multiperiod mixed-integer
linear model. The model uses a superstructure that includes different
technologies to process biomass, solar radiation, waste, and wind
and takes into account variations of renewable resources and utility
demands over time. One of the main objectives of this work is to analyze
how time discretization affects the design, for which the differences
and implications of design under three time-horizon levels are considered.
A case study for a city located in the southwest region of Mexico
is taken to show the implications of optimal structure designs under
annual, monthly, and weekly details of demand levels. It is shown
how a yearly or monthly based optimal structure needs to be further
adjusted to meet the demands given by a more detailed set of demand
data related to weekly needs.