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Results of the analysis of normative and legal documents of the Russian Federation, and also the internal normative documents establishing the main target indicators and requirements to activities for energy saving in «Russian Railways» Holding are given in article. Need of carrying out updating of Power strategy of «Russian Railways» Holding and revision of the list is proved by the mechanism of its realization.

The article sets forth the procedure for preparation of energy saving programmes for the system of traction electric supply. List of key measures aimed at reduction of losses of electric power in traction network and equipment of traction substations, and also on increase of carrying capacity of railway sections. Presents the results of studies evaluating the potential of energy efficiency of the system of traction electric supply of Railways.

The article analyzes the results of the assessment operating time and power consumption of compressor equipment service locomotive depo Moscow West-Siberian Railway. The algorithms for data preparation for modeling and evaluating the efficiency of the production process are presented. The main factors influencing the power consumption of the compressor equipment are determined and the results of the assessment of their influence are presented. On the basis of the dependences obtained, a mathematical model of the process of power consumption of compressor equipment using fuzzy neural networks and its accuracy is determined. The interface of the developed program complex is presented at an estimation of influence of factors on process of power consumption of the equipment service locomotive depo Moscow West-Siberian Railway.

The problem of increasing energy saving when using fuel in heating furnaces of forging and thermal shops for heat treatment of metal under pressure treatment (forging and stamping) and heat treatment (quenching, tempering, carburizing and nitrocarburizing) is considered. Ways to improve energy saving in industrial furnaces and issues of reducing fuel consumption in thermal processes were studied. The problem of rationalizing the regeneration of low-grade heat of flue gases was not solved fully enough, since economic factors and the influence of the determining parameters on the temperature and thermal regimes of heat recovery plants were not fully taken into account. Thus, it is relevant to address the issue of the appropriate degree of recovery of the thermal potential of the gases leaving the heating furnace, finding the most favorable parameters of heat recovery plants. A criterion is proposed for assessing the effective level of the degree of utilization of the heat of exhaust gases at the outlet from the heating furnaces. It is proposed to evaluate the efficiency of the heat recovery plant and determine the optimal degree of heat recovery from flue gases leaving the heating furnace based on the difference in the changing costs for the construction and operation of the heat recovery plant. A method and an algorithm for determining the technically and economically feasible degree of utilization of low-potential heat of fuel combustion products after furnace units in a heat recovery unit have been developed. The developed algorithm provided the necessary optimality conditions, was checked for sufficiency by conducting studies on the existence of an extremum at the test point and the positivity of subsequent derivatives. The dependences of the economically viable temperature of the fuel combustion products after the heat recovery plant on the determining factors, basic values, price indicators and initial data are obtained, which, in the case of reconstruction and modernization of the furnace facilities of forge and thermal shops, minimize the costs of reconstruction and increase the efficiency of its use. The practical significance of the application of the proposed developments for practical use in the design, reconstruction and modernization of the furnace facilities of forging and thermal shops has been substantiated.

In this paper we propose an electric load forecasting algorithms based on artificial neural networks. An improved method for selecting the most appropriate structure of the neural network based on the coefficient characterizing the homogeneity of the samples is proposed.

The article deals with the issues of joint use of a low-temperature solar collector and a heat pump in a solar heating system, the combination of which allows for high energy efficiency and stable operation of the system for the entire period of the year. The study and development of innovative technologies in alternative energy is a topical issue of today. Based on the actual statistical climatic data of the city of Omsk, a thermal calculation of the solar collector and the air heat pump in the heat supply system of the building was made. The values of solar insolation and the angle of inclination for the city of Omsk by months determined depending on latitude are given, the dependence of the change in solar insolation of the city of Omsk on the period of the year is plotted. The proposed scheme allows creating high energy efficiency and stable operation of the system during the summer and transitional months of the year. A method for calculating the generation of thermal energy using a combined system is given. The required number of tubes of solar vacuum tubular collector SVK-20A has been calculated. The work of an air heat pump and a solar collector according to a bivalent scheme is proposed, and a graph of the heat load of the heating system is also considered. The thermophysical properties of the working substance of a solar collector and an air heat pump are studied with a change in ambient temperature, the dependence of the freezing point of aqueous solutions of ethylene glycol and propylene glycol on the mass concentration of glycol is studied. A technical calculation of the COP coefficient for one of the educational buildings of OSTU was made. An effective option for using this system is proposed - heating systems «warm floor», «warm walls» or «warm ceiling».

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.