ПРИЛОЖЕНИЕ НА ДИГИТАЛНИ БЛИЗНАЦИ И ИЗКУСТВЕН ИНТЕЛЕКТ ПРИ УСТОЙЧИВ ПОДБОР НА СТРОИТЕЛНИ МАТЕРИАЛИ

Abstract

The report examines how algorithms for machine learning and big data processing can assess and classify suitable combinations of materials based on indicators such as thermal insulation, cost, environmental footprint, and durability. In addition, the study discusses architectural strategies for façade systems with adaptive behavior, as well as the integration of renewable energy sources into the building’s energy ecosystem. No less significant is the section addressing normative, ethical, and regulatory frameworks – the report links the topic to the European Green Deal, the Energy Performance of Buildings Directive (EPBD), and the proposed EU legislation on artificial intelligence. The final conclusion is that AI should not be regarded as a substitute for engineering thinking, but as an intellectual tool and partner that enhances the capacity for sustainable design, precision, and differentiated solutions in the context of Industry 5.0.