Mathematical programming in solar energy systems refers to the use of mathematical optimization techniques to model and solve problems related to system design, operation, resource allocation, and performance optimization.
Published in Chapter:
Optimization Techniques for Solar Energy System Design and Operation
Prerna Tundwal (College of Technology and Engineering, Udaipur, India) and Vikramaditya Dave (College of Technology and Engineering, Udaipur, India)
Copyright: © 2024
|Pages: 30
DOI: 10.4018/979-8-3693-1638-2.ch016
Abstract
This chapter focuses on the application of optimization techniques in the design and operation of solar energy systems. Solar energy has emerged as a viable and sustainable alternative to traditional energy sources, and optimizing the performance of solar energy systems is crucial for maximizing energy production, improving system efficiency, and reducing costs. Various optimization methods and algorithms are explored in this chapter, including mathematical programming, evolutionary algorithms, and machine learning. The chapter highlights their advantages, challenges, and potential applications in solar energy system design and operation. Moreover, the application is presented to illustrate the effectiveness of these optimization techniques in improving the performance and economic viability of solar energy systems.