The implementation of resource-saving technologies at marshalling yards (MYs) is
an urgent task. Taking into account that the main consumer of electricity at the
MY is the compressor unit (CU), the solution, first, should be concentrated, on
it. An analysis of the operation of modern control systems of the CU, as well as
theoretical studies in this field, showed that the cost of electricity at the
station is tightly connected with the technological work on it, as well as to
the weather conditions in the region. This work proposes to establish the
connection of these factors with the energy costs at the MY and to develop a
compressor control model. In our publication, we carried out an analysis of
external factors, which affect the operation of the compressor plant at the MY.
We analyzed such factors of the technological process as weight, type, brand,
route of the carriage, the length of the free section of the receiving track,
the static characteristics of the marshalling cabinet, and the number of cars in
the train and the speed of their rolling down. In addition, we paid attention to
weather factors (strength and direction of the wind, temperature of the certain
environment). A multivariate model was developed on the analysis above, which
will allow to predict the power consumption for the upcoming disassembling of
the train. Besides this, the model allows to optimize energy costs by adjusting
the capacity of the compressor. We practically tested the model during the
actual disassembly of the train, thereby confirming its adequacy. Because of the
simulation, we confirmed the position of the authors that a decrease in the
capacity of the CU leads to a decrease in energy consumption. Considering the
proposed model, the structure of the technical means of the compressor plant
power control system was developed. Taking into consideration this proposed
model, the structure of the technical means of the capacity control system for
the CU was developed. Such system will significantly reduce energy costs at the
MY due to optimal compressor control and savings in the maintenance of power
units.