Abstract
Optimization is now a crucial element in industrial applications involving sustainable alternative energy systems. During the design of such systems, the engineer/decision maker would often encounter noise factors when their system interacts with the environment (e.g., solar insolation and ambient temperature fluctuations). In this chapter, the sizing and design optimization of the solar powered irrigation system is considered. This problem is multivariate, noisy, nonlinear, and multiobjective (MO). This chapter is divided into two parts where two situations are considered during the optimization of the solar powered irrigation system. Part 1 is the MO design optimization of the mentioned system under constant weather conditions. Part 2 involves optimizing a more general form of the design problem by accounting for varying weather conditions, insolation, and ambient temperature. The details of the optimization procedures of the two cases are presented and discussed in this chapter.
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