Russian Federation
UDC 621.311
Objective: to examine the need for a comprehensive energy efficiency assessment of intelligent heat loss metering systems and their potential. To demonstrate the need to reduce losses, which directly impacts primary energy consumption, which in turn leads to a reduction in greenhouse gas emissions and other harmful substances. To propose technologies for integrating heat loss metering systems into a common digital infrastructure to create a unified information space for managing energy flows and resources. Methods: a wide range of intelligent heat loss metering systems, differing in functionality and technologies, was examined. A comparative analysis of intelligent automated heat metering systems was conducted based on data collected over different seasons, using comprehensive statistical processing to identify relationships between indoor temperature, outdoor air temperature, and heat loss values. Results: the need for objective energy consumption monitoring based on accurate heat loss data has been demonstrated, allowing for the identification of inefficient areas in heating systems. It has been established that analyzing data from intelligent heat loss metering systems not only allows for assessing the current state of systems but also predicting their behavior under various conditions. This provides the basis for integrating such systems with other intelligent integrated energy monitoring and management systems, significantly improving overall energy efficiency. This study identified the need to implement intelligent systems for recording heat energy losses and the use of approaches to assessing them and the effectiveness of energy-saving measures, which will reduce operating costs, increase the reliability of heat supply systems, and reduce the burden on the environment by reducing greenhouse gas emissions. Practical significance: The need for informed management decisions aimed at minimizing losses, optimizing equipment operating modes, and, consequently, reducing fuel and energy costs is demonstrated. The development of methods for diagnosing and eliminating the causes of heat loss will enable the identification of insulation defects, malfunctions of intelligent heat loss metering systems, and other factors leading to inefficient heat consumption. The development of energy-saving measures will ensure the comparability of the results of various systems and accelerate their implementation.
thermal energy, intelligent system, thermal energy loss accounting, energy saving, energy efficiency, wireless information transmission technologies, hardware and software
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