Investigation of energy consumption trends in petrochemical plants for the management of resource saving

Abstract

The relevance of the research topic is due to the study of the important problem of improving the energy efficiency of the economy and the meso and micro levels. In the conditions of the development of an innovative economy, energy saving becomes one of the main factors for increasing the economic efficiency and economic security of industrial enterprises and complexes. The article discusses the main aspects of the organization of energy-saving environmental production systems. The factors affecting the energy efficiency of the production process from the standpoint of logistics, including the processes of storage, storage and transportation of products within an industrial enterprise, are summarized. As a criterion of energy saving in logistics chains, the coefficient of consumption of energy resources spent per unit of production is given. The analysis of the dynamics of fuel and energy costs per unit of output by the types of activities of petrochemical plants of the Republic of Tatarstan was carried out. The specificity of the level of fuel and energy costs by type of activity is shown, depending on the specifics of production and products. The variation of energy consumption data by types of petrochemical production activities for 10 years has been calculated. The prospects for reducing the energy intensity of petrochemical enterprises in the context of the liberalization of the market of electric energy and power are considered. The materials of the study can be used in managing the development of the real sector of the economy, the service sector, both at the enterprise services level and in government structures. In addition, the proposed methodology is appropriate for assessing the level of resource-saving production, building innovative energy-saving development strategies, and developing a mechanism for targeted actions for the rational use of resources.

Optimization of Energy Consumption in Chemical Production Based on Descriptive Analytics and Neural Network Modeling

“…Approaching environmental problems of energy conservation using mathematical tools is considered by a number of scientists: Meshalkin et al presented an intelligent logical informational algorithm for choosing energy-and resource-saving chemical technologies [9]; Shang et al summarized the characteristics of energy consumption and energy-saving strategies in the transition to energy-intensive machines of higher power [10]; Klemes and Varbanov substantiated the reduction of environmental pollution as a result of optimization of heat transfer [11]. Directions for improving the environmental friendliness of chemical production based on solutions in the field of introducing energy-saving organizational technologies are proposed in several other scientific works [12][13][14][15][16]. The use of evolutionary algorithms is possible in solving industry engineering problems: optimization of the maintenance process of power gas turbine plants to adjust the regulator parameters in order to reduce equipment downtime and reduce the level of energy consumption; optimization of the process of cyclic injection of coolants into the oil reservoir; minimization of energy expended during steam generation and reduction of waste-water at a production well, etc.…”