Renewable energy sources have acquired great relevance in the world
context due to the guidelines taken by global policies. Although they are
thermoelectric, biomass power plants are considered renewable energy sources
because they maintain the levels of carbon dioxide in the atmosphere. In
addition, thermoelectric plants have more autonomy in generation than other
renewable sources such as hydro, wind and solar, which depend on uncertainties
such as water flow, wind speed and solar irradiation, respectively. This set
of characteristics makes biomass an indispensable energy source for future
system operation planning. However, this source has intermittent periods as it
is usually linked to the sugarcane crop. There are few prediction and simulation
studies of this energy source. Thus, the dissertation aims to implement the
Markov chain model with Monte Carlo simulations.
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