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

Abstract

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.