This work investigates computational methods for selecting energy-saving components in buildings. The dissertation addresses the significant energy consumption of buildings for heating, cooling, and lighting, which exacerbates fossil fuel depletion and environmental pollution. It aims to develop and present computational support systems to enhance building energy efficiency by optimizing the selection of appropriate components.

This Ph.D. dissertation focuses on the technical aspects of improving building energy efficiency through computational support. The work is likely to be of interest to researchers and professionals in building science, sustainable design, and energy engineering. Its detailed computational approach suggests a rigorous academic treatment of the subject matter, aiming to provide practical tools for designers.