DETAILING THE PROCEDURAL AND EXPERT COMPONENTS OF THE DIGITAL FRAMEWORK FOR FORMING A RELIABLE ENERGYEFFICIENT STATE OF BUILDINGS

The issue of building energy efficiency is becoming increasingly important in the face of modern challenges such as climate change, rising energy prices, and the need to reduce carbon emissions. In this context, digital technologies and expert systems have become essential tools for achieving high levels of energy efficiency in the construction industry. The process of ensuring a building’s reliable energy-efficient state requires a comprehensive approach that encompasses detailed analysis of the design, construction, and operational phases.This study explores the key procedural components that support the integration of designers' knowledge and skills into the digital environment. It identifies stages such as data collection and processing, modeling, simulation, and the automation of design decisions. The use of Building Information Modeling (BIM) enables the creation of parametric models that ensure accuracy and efficiency in design while also supporting realtime information updates, integration with sensor data, and responsiveness to environmental inputs.Expert systems play a crucial role in assessing energy efficiency by providing recommendations for identifying and reducing heat loss in buildings. These systems use data on energy efficiency indices as input and produce classifications of energy performance as well as specific recommendations for optimizing design solutions. They also support predictive analytics, enabling proactive energy planning and adaptive responses.Additionally, within the digital space, the integration of external applications plays a significant role in providing data access and improving management efficiency. Standardized interfaces and open APIs enable interaction between various software systems, which in turn facilitates the automation of design processes and reduces the risk of errors.Thus, ensuring a reliable energy-efficient state of a building is a multidimensional process that requires the integration of various technologies, expertise, and evaluations. This approach not only reduces energy consumption but also improves the overall quality and comfort of both residential and non-residential spaces, contributing to long-term sustainability, economic feasibility, and environmental resilience.