Research of energy efficiency of a diesel electrogenerator on the basis of edge and cloud computing

Abstract

The article analyzes the main tendencies and approaches to increase of energy efficiency of a diesel generator on the basis of convergence of intellectual technologies. To increase the energy efficiency of a diesel generator, it is necessary to use a synergistic approach, evolutionary modeling techniques, edge and cloud technologies, as well as methods of depth learning. Agroindustrial objects are most often located in places with poor quality of the main energy supply, which is the reason for frequent trips of electricity. However, in agriculture, especially in livestock production, the continued disappearance of the external network can lead to significant financial losses as a result of the death of animals through the cessation of ventilation systems in poultry houses, heating systems in pig farms, etc. In order to ensure the continuity of power supply of agroindustrial objects, it is recommended to use an electric generator (stand-alone power plants). In agriculture, stand-alone power plants can be used both as a backup energy source and as a primary.