Simulation-based optimization of a solar water heating system by a hybrid genetic-binary search algorithm

Abstract

A proper design of a large solar heating system is important to maximize the benefit of the system. The system hydraulics, control parameters and dimensions of single components are usually tried to be optimized towards achieving better system performance at lower costs. The complexity of the target functions, a large number of optimization parameters and boundary conditions imposed on the system require application of advanced numerical optimization techniques and tools as well as additional software.