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Currently in Russia there is an active development of industry, which requires a large amount of energy resources. At the same time, there are several obstacles in the way of providing all consumers with the required volume and, most importantly, the quality of energy. First of all, this is due to the technical condition of the equipment of both consumers and energy producers and the absence of programs for the implementation of measures aimed at increasing energy efficiency. Today, a full-fledged assessment of the energy efficiency of the production of many enterprises is difficult due to the lack of a single physical and mathematical apparatus and a universal criterial assessment of the energy efficiency of enterprises. This leads to the fact that a correct assessment of energy efficiency indicators and energy saving potential is not fully possible. Most of the existing methods for assessing energy efficiency indicators are limited and allow assessing only one or several indicators, do not provide for linking all indicators into a single whole. In addition, there is no criterion for assessing energy efficiency that is uniform for all components of heat supply systems. A promising direction of modern research in the field of heat supply systems is the improvement of methods for assessing the energy efficiency of heat supply systems through the use of a physically and mathematically substantiated criterion for the energy efficiency of the heat supply system of industrial enterprises and the creation of unified methods and an algorithm for assessing the indicators of the energy efficiency of heat supply systems of various compositions and devices. Special attention is paid to assessing the reliability of the initial data. This assessment is possible using the correlation method. In practice, correlation and regression analysis is widely used to predict the consumption of heat energy. This approach can also be used when assessing the reliability of the initial data using the Chaddock scale. In the course of the research, methods of constructive and verification calculations, experimental and analytical research, the method of correlation analysis, and statistical research methods were used. As a result of the research, a unified, generalized methodology for assessing the indicators of the energy efficiency of the heat supply system of the enterprise has been developed. We created the algorithm given a comprehensive assessment of the energy efficiency of the heat supply system of an industrial enterprise and to assess the potential for energy saving.

When developing a set of organizational and technical energy saving measures, it is necessary to correctly assess the feasibility of using certain measures not only in terms of return on investment, but also based on the technological process of the enterprise. It is necessary to take into account not only the current parameters of the installed equipment, but also other, important factors: the degree of equipment utilization during the year, since this parameter in the equipment during the inter-heating period, as a rule, is significantly less than in the heating period. It should also take into account the prospects for the development of the enterprise. Many modern energy-saving technologies have a long payback period, and this is caused not so much by a small energy-saving effect as by the low popularity and low demand for these technologies, which leads to high purchase and maintenance costs. With the right choice and operation of equipment of this kind, an enterprise can significantly reduce the cost of its products and increase its competitiveness in the market. The article discusses the issues of approaches to assessing the potential of energy saving and the choice of priority areas for increasing the energy efficiency of heat supply systems of industrial enterprises. The described energy saving measures are applicable to the majority of existing heat supply systems and are the most common. The given procedures for assessing the technical and economic effect allow us to pre-evaluate the significance and feasibility of applying a particular event.