ANALYSIS OF BUILDING HEAT MANAGEMENT SYSTEMS

Abstract

The problem of energy efficiency and the competent use of energy resources for heat supply in buildings and structures is relevant today and requires various solutions. The purpose of regulating the release of heat for seasonal loads is to maintain comfortable microclimate conditions in the premises when the outdoor temperature changes throughout the heating period. To proportionally change the heat load in buildings and structures, a qualitative method of regulation is used, which consists in a linear change in the temperature difference relative to the change in outdoor air temperature. One of the most advanced and effective ways to analyze energy consumption and control climate equipment is the introduction of computer technology and artificial intelligence into the operation of this equipment. To substantiate measures to improve energy efficiency, a comparative analysis of the parameters of various components of the heat supply network is carried out. A certain energy consumption and the setting of the required temperature depend on many factors determined during the design and construction of heating networks, buildings and structures. In order to save the thermal energy consumed by the building and improve the hydraulic modes of internal heating systems, it is necessary to reconstruct individual heating points (IHP) with the installation of an automatic water temperature controller in the supply pipeline depending on the outside air temperature and a hot water temperature controller. At high outdoor temperatures, the average value of the consumed thermal energy is higher than it should be, and at low values, on the contrary, it is lower, which negatively affects the comfortable microclimate conditions in the premises when the outdoor temperature changes. The average specific heat consumption of a building in the spring period significantly exceeds the average specific heat consumption of a building in the autumn period.

Subject of research: functional dependence between the consumed thermal energy and the outdoor air temperature.

Materials and methods: for qualitative analysis of building heat management systems, graphs of various dependencies were constructed in the study, the necessary regression equations were derived and the results obtained were described in detail.

Results: The accuracy of the approximation for the trend lines constructed as a result is 0.51. For final conclusions, the influence of this term on the entire heat balance as a whole is estimated using a heat loss model for a room in a selected building if its fences face different directions of the world. In this case, the average accuracy of the approximation for trend lines is 0.91. The overall linear dependence will have an approximation accuracy much lower.

Conclusions: to ensure high-quality management of heat consumption of buildings and, as a result, to maintain comfortable indoor microclimate conditions when the outdoor temperature changes throughout the heating period, it is necessary to develop integrated control systems that include nonlinear multiparametric dependences of the values of the coolant parameters on various environmental conditions.