Ways to Increase the Energy Efficiency and Reliability of Asynchronous Electric Motors in Chemical Plants

Efficiently operating the fleet of asynchronous electric motors (AEMs) in chemical plants is a large-scale sectorwide challenge for the innovation-driven growth of the chemical industry. The strategy of efficiently operating the sectoral fleet of electric motors is based on the systematic diagnostics of its technical state. Implementing this strategy requires information on the current values of the indices of the energy efficiency of motors and their reliability. Scientifically, this poses a number of problems concerning their formulation and the systematization of the requirements for the decision, the determination of the specifics of the object, and the development of efficiency criteria and their estimation methods. The above range of issues is analyzed in this work. The key factor of increasing the efficiency of the sectoral fleet of electric motors is intended to be the system of periodic operational diagnostics. The tasks of the system and the requirements for it were formulated. As the object of operation, an AEM is a heterogeneous electromechanical system (HEMS), the operational states and technical characteristics of which vary with operation time. Solving the problem of operational diagnostics requires one to develop special unconditional criteria of the current energy and technical state of such systems, which should represent the parametric heterogeneity of the device and should be independent of its operating conditions. Such criteria are the current deviation matrices presented in this work. They allow one to make current estimates of the remaining life cycle and probability of operability of the electric motor, and they also indirectly represent the current level of the energy and technical efficiency of the device. The operational states of the AEM were modeled. The characteristics of the operational reliability were calculated. Developing and implementing the strategy of the efficient operation of the sectoral fleet of electric motors using the apparatus of current deviation matrices enable one to qualitatively update the electric power equipment of chemical plants and improve its operational efficiency.