Abstract
The present chapter is focused on various computing techniques used for the
performance evaluation of the integrated renewable energy system. Due to the
stochastic nature of major renewable energy sources, a single renewable energy sourcebased
system cannot provide an uninterrupted supply of electricity; hence, to attain
high energy security, it is necessary to oversize the rating of the generating system,
which in turn increases the overall cost of the system. On the other hand, the integrated
renewable energy system, which employs the potential of two or more renewable
energy sources to satisfy various energy demands, offers a better option than a single
renewable energy system in terms of efficiency, reliability, and cost. However, multisource-
based power generation is often more complex due to the involvement of a large
number of design parameters and variables. Hence, efficient computing techniques
must be used to evaluate the performance of the integrated renewable energy system. In
this chapter, the layout and configurations of the integrated renewable energy system
are introduced, and various computing technologies used to evaluate the performance
and sizing of the integrated renewable energy system are presented and discussed in
details. The proposed study will be beneficial to the researchers working on renewable
source-based stand-alone power generation for isolated areas.
Keywords: Analytical Method, Artificial Intelligence Method, Bio-energy, Computing Technology, Configurations of the IRES, Energy, Graphical Method, Hybrid Energy System, Hybrid Renewable Energy System, Integrated Energy System, Integrated Renewable Energy System, Iterative Method, Layout of the IRES, Power Reliability, Probabilistic Method, Renewable Energy, Renewable Energy Integration, Solar, Small Hydropower, Wind.
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